How to prepare for bone marrow transplant

A bone marrow transplant is a medical procedure performed to replace bone marrow that has been damaged or destroyed by disease, infection, or chemotherapy, also called a stem cell transplant, this is a treatment for some types of cancer. For example, leukemia, multiple myeloma, or some types of lymphoma. Doctors also treat some blood diseases with stem cell transplants. The stem cell transplant procedure involves several steps involved in this transplant, so one must know completely about what he/she is going to go through. But first, let’s get to know what bone marrow is.

Spotlight

Inqaba biotec

Inqaba Biotechnical Industries (Pty) Ltd, trading as inqaba biotec™ in Sub-Saharan Africa, is a unique South African Genomics company that was established in 2002 from an idea that was conceptualized in 2000. Inqaba is Xhosa for “rare and precious” and this pays homage to our South African origin. The company premises are based in Muckleneuk, one of the oldest suburbs in Pretoria. In 2010 the Kenyan subsidiary, inqaba biotec™ East Africa Ltd, was opened in Nairobi and we have registered inqaba biotec™ West Africa Ltd in Nigeria in 2014. The initial startup was organized by a venture team of five, of whom three are still engaged with the company: Dr de Gama, Prof. Göttfert and Dr Preisig. In 2002, inqaba biotec™ was financed through private equity from 30 private shareholders and through a loan from the

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MedTech

Biotech in 2022

Article | September 22, 2022

The robust global channel of more than, 800 gene and cell curatives presently in trials will produce clinical readouts in 2022, revealing what lies ahead for advanced curatives. The impact will be felt in 2022, no matter how you slice it. Eventually, how well industry and non-supervisory bodies unite to produce new frameworks for advanced therapies will shape the year 2022 and further. Pacific Northwest talent will continue to contribute to the advancement of gene and cell curatives in both the short and long term, thanks to its deep pool of ground-breaking scientific developers, entrepreneurial directorial leadership, largely skilled translational scientists, and endured bio manufacturing technicians. We may see continued on-life science fund withdrawal from biotech in 2021, but this can be anticipated as a strong comeback in 2022 by biotech industry, backed by deep-pocketed life science investors who are committed to this sector. A similar investment, combined with pharma's cash-heavy coffers, can result in increased junction and acquisition activity, which will be a challenge for some but an occasion for others. Over the last five years, investment interest in Seattle and the Pacific Northwest has grown exponentially, from Vancouver, British Columbia, to Oregon. The region's explosive portfolio of new biotech companies, innovated out of academic centres, demonstrates the region's growing recognition of scientific invention. This created a belief that continued, especially because Seattle's start-ups and biotech enterprises are delivering on their pledge of clinical and patient impact. Talent and staffing will continue to be difficult to find. It's a CEO's market, but many of these funds' return, and are not rising in proportion to the exorbitant prices they're paying to enter deals. This schism has become particularly pronounced in 2021. Hence, everyone in biotech is concerned about reclamation and retention.

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Research

AI and Biotechnology: The Future of Healthcare Industry

Article | July 11, 2022

Artificial intelligence has grasped the foundation in biotech. It can have the most innovative impact on biotechnology. AI has already established its presence in our day-to-day life. AI has made the existence of self-driving cars possible. Likewise, the benefits and quality that it can contribute to biotech can also be felt. With AI, bio technicians will be able to enhance virtual screening, overlook preliminary datasets from clinics, and decipher an enormous amount of information. It can also help in improving the medication process by gathering and analyzing every bit of information. The Significance of AI in Biotechnology In the past few years, the application of artificial intelligence in the biotechnology industry has shifted from being sci-fi to sci-fact. A vast number of biotech companies like Deep Genomics are adopting AI for making data-driven decisions and use analytics tools to work efficiently. Unlike the AI robots in sci-fi that are ready to take over the world. AI designed for biotech has been designed to solve certain problems or complete a bunch of tasks by using automated algorithms. The aim of AI technology for biotech is to collect insights along with hidden patterns from large amounts of data. All the different industries of biotech including agriculture, animal, medical, industrial, and bioinformatics are gradually being affected by artificial intelligence. Moreover, the biotech industry is realizing that AI enables them some of the important strength to their business, including: Expanding accessibility Cost-effectiveness Critical predictions Efficient decision-making Research centers like PwC have also estimated output of $15.7 trillion by 2030 solely with AI contribution in industries. A survey revealed that about 44% of life science experts are using AI for R&D activities, as well. Use of AI in Biotechnology Altering Biomedical and Clinical Data So far the most developed use of AI is its ability to read voluminous data records and interpret them. It can prove to be a life-save for bio technicians who would have to examine that much data from research publications by themselves for the validation of their hypothesis. With the help of AI, clinical studies of patients will also become easier as all the examination reports and prescriptions will be stored in one place for cross-reference. Furthermore, it will also help in blending and fetching data into usable formats for analysis. Test Result Prediction Through trial and error, AI along with machine learning can help in predicting the response of the patient to certain drugs to provide more effective outcomes. Drug Design & Discovery AI plays a vital role whether it’s designing a new molecule or identifying new biological targets. It helps in identifying and validating drugs. It reduces the cost and time spent on the entire drug trial process and reaches the market. Personalized Medications for Rare Diseases With the combination of body scan results, patients’ body and analytics, AI can also help in detecting dangerous diseases at an early stage. Improving Process of Manufacturing To improve the process of manufacturing in biotechnology, AI offers a wide range of opportunities. It controls quality, reduces wastage, improves useability, and minimizes the designing time. Moving Towards AI-Enhanced Biotech Future Ever since the concept of artificial intelligence has arrived, being curious by nature, humans have started working towards achieving this goal. It has been growing at a fast pace while showing unbelievable growth and achievements at times. In comparison to the traditional methods used in the biotechnology industry, AI-based methods seem more reliable and accurate. In the upcoming years, it will show its success by improving the quality of health people have. You can also develop your AI-based application or know more about it by taking IT consultations.

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MedTech

Top 3 Biotech Clinical Data Management Trends to Watch in 2022

Article | July 20, 2022

Introduction The administration of medical records and data has advanced significantly during the past few decades. Clinical data management, which was once only a small subset of biotech research organizations, has now developed into a mission-critical, specialized unit. In the late 1990s, electronic data capture (EDC) began to alter the traditional function of clinical data management. After that, the data configuration and management of data queries for the EDC system fell under the purview of clinical data management services. Today, clinical data management is not only responsible for managing the clinical data configuration and data queries but also developing and implementing data administration plans, ensuring data accuracy and completeness, and maintaining optimum data security. In recent years, as digital technologies have gained acceptance around the globe, data has become a vital aspect in decision-making across numerous industries, and the life sciences and biotechnology sectors are no exception. Using data has provided granular insights to biotech organizations, assisting them in creating breakthroughs in drug development and medical research and signifying the importance of clinical trial management systems in these medical verticals. The Biggest Biotech Clinical Data Management Trends to Know About Today The future of clinical data management is contingent upon the implementation of systems and regulations. It is imperative for all organizations participating in a medical or life science trial to have transparent rules in place for sharing and retaining patient data. Also, there is a need to have a standardized format for maintaining these records and documents related to trials. This assists biotech organizations in reducing the chances of ambiguity regarding who owns what kind of data or paperwork at any given time. Over the past couple of years, the focus of the life science and biotechnology industries has shifted towards developing more effective medications and therapies, implementing personalized treatment, and finding cures for diseases such as cancer and AIDS. In response to this, a substantial rise in the number of clinical trials is being witnessed globally. As the number of clinical trials continues to accelerate, the spending on these trials rises as well. In response to this, the worldwide cost of conducting clinical trials is anticipated to reach US$ 49.80 billion in 2022. With the transition of the world from traditional to digital, medical professionals and biotech businesses are increasingly shifting towards adopting high-tech and reliable clinical trial management systems for various applications, starting from diagnosis and clinical trials to patient data documentation. But, what are the future trends in biotechnology clinical data management? Let’s discuss. Cloud-Based Clinical Metadata Repositories Automation is emerging as a new frontier in the biotech clinical data management domain, along with other innovative technologies such as artificial intelligence and machine learning. Because of this, life science establishments are witnessing a huge shift from paper-based documentation toward data-based documentation, which is creating mountains of research, compliance, and clinical data. The growing demand for new and more effective medications and drugs is augmenting the need to expedite clinical trials. This is resulting in an increased number of initiatives aimed at optimizing clinical trial processes to prepare and launch successful trials. However, pharmaceutical and biotechnology laboratories are encountering several challenges in collecting, managing, and analyzing metadata due to its complexities. So, what is the best solution to this problem? The answer to this is cloud-based clinical metadata repositories. Clinical research facilities are leveraging advanced, all-in-one, cloud-based clinical metadata repositories to assist them in centralizing and managing metadata; increasing metadata quality, consistency, and accuracy; and speeding up clinical trial management, documentation, and compliance processes. Shift Towards Digital Solutions Electronic Case Report Form Adequate research and accurate data are crucial for a clinical trial to succeed. Whether developing new drugs, medication, or therapies; conducting life science research; or studying the latest clinical trial systems, it is best to use electronic solutions as it reduces the room for mistakes during the transition of clinical data from paper-based format. Realizing this, biotech organizations are shifting towards using electronic case report forms to speed up record retrieval, improve record security, and cut down on operational costs associated with running clinical trials. The electronic case report form assists in lowering the failure rate of the clinical trial, enhancing efficiency, and optimizing security along with improving clinical trial documentation and productivity, further driving its adoption in the medical space. Electronic Clinical Outcome Assessment Electronic clinical outcome assessment is surfacing as one of the fast-growing future trends in biotechnology. It allows clinical trial facilities to automate data entry and improve the reliability of the collected information. The technology enables clinical trial institutions to automatically record patient-provided information about side effects, symptoms, drug timing, and other aspects during the clinical trial for increased precision. It also helps these institutions analyze the results of medication or therapy in clinical trials and lets clinical researchers use medical technologies like biosensor-enabled devices, self-service applications, and medical wearables for evaluation. Hence, biotech clinical facilities are increasingly deploying advanced electronic clinical outcome assessment systems to ensure adherence to protocols and regulations. Clinical Trial Customization The success of a new drug is determined by numerous factors other than its effectiveness, safety, and creativity of its developers, such as a successful clinical trial. Each clinical trial involves a number of decision-making points, and one wrong choice in any of these aspects can jeopardize the success of the entire endeavor. A crucial component of making well-informed decisions is data management, which is a part of clinical study as a whole. Clinical trial customization is emerging as one of the most prominent biotech clinical trial management trends. Every clinical trial is unique and needs a tailored approach to be successful. With the emergence of the trend of personalized treatment around the globe, biotech and pharmaceutical organizations are adopting innovative customized clinical trial management solutions to accelerate the pace of clinical trials and approvals. This is giving clinical researchers innovative ways to come up with new medicines for patients and streamline the clinical data as per the requirements for faster approvals. What Are the Key Clinical Data Management Challenges Faced by Biotech Companies? Groundbreaking medical interventions are of no use without reliable, accurate, and extensive clinical trial data. Without the data, biotech and pharmaceutical companies will not be able to provide the assurance of safety and efficacy required to bring the medication to market. Regulatory bodies such as the Food and Drug Administration (FDA), the Medicines and Healthcare Products Regulatory Agency (MHRA), and others are putting stricter rules in place to ensure the quality of clinical data. In addition, the fast-changing clinical development environment is creating more obstacles for biotech and medical spaces to ensure the accuracy, standard, and completeness of the clinical trial data. Hence, clinical teams are spending valuable time cleaning up data instead of analyzing it. Time spent trying to figure out issues with clinical trial data is detrimental and expensive but also mission-critical. This is because a small issue in the data can lead to numerous consequences, from small delays to calamitous setbacks, making it necessary to rerun clinical trials. This problem will only get more challenging to address as the volume of data and the types of data sources continue to grow. Here are some of the major clinical data management challenges that biotech firms encounter Standardization of Clinical Metadata Stringent Regulatory Compliance Increased Clinical Trial Complexity Mid-Study Changes Why Are Clinical Data Management Systems Garnering Popularity in the Biotech Industry? With the changing regulatory and clinical landscape, biotech and pharmaceutical companies are facing several obstacles in the management of clinical data and clinical trials. In addition, regulatory agencies are moving toward integrated electronic systems, which is making it more and more important for clinical laboratories to change the format of their submissions. Because of this, several biotech clinical labs are focusing on adopting innovative laboratory solutions, such as biotech clinical data management systems, to meet the need for standardized data inputs and replace all manual ways of working with electronic systems. A clinical data management system establishes the framework for error-free data collection and high-quality data submission, resulting in speedier drug discovery and shorter time-to-market. These solutions are gaining huge traction among biotech and pharmaceutical companies, owing to their ability to effectively manage clinical data, accelerate clinical trials, and ensure compliance. Let’s see some of the features of biotech clinical data management software that are most sought after by life-science companies Controlled, standardized data repository. Centralized data analysis and administration. Reduced operational expenditures for clinical data processes. Enhanced process effectiveness. Superior submission quality Compliance with predefined standards. Clinical Data Management Systems: The Future The role of clinical data management systems is evolving at a rapid pace as the life science and medical industries continue to incorporate digital solutions for diverse operations. These systems are being used in a variety of biotech clinical settings, ranging from clinical data compliance to data science and analytics, to help them analyze large and growing volumes of clinical data. Hence, a number of high-tech medical companies are aiming at integrating innovative technologies, such as artificial intelligence and machine learning, into clinical data management software to automate clinical data management tasks, improve clinical data submission, and enhance data quality. These new biotech clinical management technologies are anticipated to help life science laboratories gain a better understanding of diseases and speed up clinical trials in the coming years. FAQ What is a clinical data management system? A clinical data management system (CDMS) is a tool used in clinical research to track, record, and manage clinical trial data across medical establishments such as biotech laboratories. What are the key functions of the biotech clinical data management system? Some of the key functions of biotech clinical data management system are Documentation of Protocols and Regulations Patient Recruitment Real-time Clinical Study Analytics Reporting Investigator Relationship Management Electronic Visit Report Why is a clinical data management system needed for clinical trials today? A clinical data management system helps shorten the time from drug development to marketing by assisting in the collection of high-quality, statistically sound, and accurate data from clinical trials.

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MedTech

Immunology: A New Frontier in Medical Science

Article | July 16, 2022

Introduction Recent developments in the bioengineering of monoclonal antibodies (mAbs) have revolutionized the treatment of numerous rheumatic and immunological disorders. Currently, several immunological disorders are successfully being targeted and treated using innovative medical techniques such as immunotherapy. Leading companies are increasingly investing in research activities to expand the usage and application of immunology for the treatment of various infectious diseases, including multiple sclerosis, inflammatory bowel disorders, lupus, and psoriasis, leading companies are increasingly investing in research activities. Today, the efforts of researchers in immunology, with a long history of study and research, have borne fruit, as bioengineered mAbs are now being employed in clinical practices. Accelerating Investments: Paving the Way for Immunology The increasing prevalence of infectious diseases, cancer, and immune-mediated inflammatory disorders (IMIDs) is raising the need for more precise classification and an in-depth understanding of the pathology underlying these ailments. Numerous leaders in the biotechnology domain are thus focusing on undertaking numerous strategies, such as new facility launches and collaborations, to address the need by finding deeper inroads into immunology and its use in disease treatments. For instance, in 2022, the University of Texas MD Anderson Cancer Center announced the launch of a visionary research and innovation hub, the James P. Allison Institute, to find new roads in immunotherapy, develop new treatments, and foster groundbreaking science. These developments will result in better diagnosis through the use of selective biomarkers, and early detection of fatal diseases and their treatment, which will prevent complications from happening. Also, the identification of high-risk populations through a deeper understanding of genetic and environmental factors can assist in the prevention of disease through immunotherapy. The Way Forward Immunology has led to the development of biotechnology, making it possible to develop novel drugs and vaccines, as well as diagnostic tests, that can be used to prevent, diagnose, and treat a wide range of autoimmune, infectious, and cancerous diseases. With the rapid advancement in technology and the integration of artificial intelligence, immunology is finding its way into an array of domains and industries, encompassing several research areas including medicine, pharmaceuticals, agriculture, and space. Today, not only researchers but also leading biotech and pharmaceutical companies have recognized that conventional therapies with pharmaceutical and chemical products are being replaced by products derived from immunology. This is because they work well for health problems, are environmentally friendly, and are also emerging as a wealth-generating business in the medical field.

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Spotlight

Inqaba biotec

Inqaba Biotechnical Industries (Pty) Ltd, trading as inqaba biotec™ in Sub-Saharan Africa, is a unique South African Genomics company that was established in 2002 from an idea that was conceptualized in 2000. Inqaba is Xhosa for “rare and precious” and this pays homage to our South African origin. The company premises are based in Muckleneuk, one of the oldest suburbs in Pretoria. In 2010 the Kenyan subsidiary, inqaba biotec™ East Africa Ltd, was opened in Nairobi and we have registered inqaba biotec™ West Africa Ltd in Nigeria in 2014. The initial startup was organized by a venture team of five, of whom three are still engaged with the company: Dr de Gama, Prof. Göttfert and Dr Preisig. In 2002, inqaba biotec™ was financed through private equity from 30 private shareholders and through a loan from the

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Industrial Impact

TARA Biosystems Partners with Scipher Medicine®

TARA Biosystems | November 03, 2021

TARA Biosystemsa, biotechnology company harnessing human biology and data to transform cardiac drug discovery, today announced a collaboration with Scipher Medicine, a precision medicine company matching patients with the most effective therapy. The collaboration will address a critical unmet need for effective therapeutics in cardiac laminopathies. Cardiac laminopathies, associated with mutations in the LMNA gene, can result in electrical and mechanical changes in the heart. These changes can have profound clinical consequences, including cardiomyopathy, sudden cardiac death, and end-stage heart failure. At present, therapies that correct the underlying pathologies do not exist. “This collaboration demonstrates the transformative potential of combining biology-driven data with network biology to further drug discovery and development and unlock new medicines and therapeutics,” said Misti Ushio, PhD, CEO of TARA Biosystems Scipher will leverage human molecular data analyzed by its Spectra™ platform, which includes data from TARA’s BiowireTM II LMNA disease models, to identify novel targets for a stratified disease population. This approach aims to identify proteins upstream and downstream of LMNA signaling within the Spectra™ network model. The identified targets will be evaluated in TARA’s BiowireTM II platform, which consists of induced pluripotent stem cell-derived human cardiac tissue models, including a repertoire of healthy, gene-edited, patient-derived, and drug-induced phenotypes of human disease. “The Spectra platform uniquely integrates AI with the protein network of human cells to identify novel targets in highly complex and debilitating diseases such as laminopathy,” said Slava Akmaev, PhD, CTO, and Head of Therapeutics at Scipher Medicine. “By interrogating the network neighborhood of LMNA and its relationship with the proteins appropriate for targeted therapeutics we are confident that we can identify several novel and relevant drug targets.” “The TARA platform is highly versatile and can capture robust physiologic endpoints of human cardiac function, including contractility, electrophysiology, calcium signaling, structure, as well as genomic, proteomic, and metabolic profiles,” said Robert Langer, PhD, Board of Directors at TARA Biosystems. “We believe that TARA and Scipher combined efforts have the potential to lead to drug development that enables a truly personalized treatment for patients.” Under the terms of the partnership, TARA has the exclusive option to progress identified targets into drug discovery and clinical development. Scipher is eligible to receive milestone payments and royalties. TARA will retain the rights for the development, and commercialization of therapeutics for the selected targets. “The partnership with TARA is a further example of how our disease agnostic Spectra platform can be applied to where novel targets are most needed,” added Alif Saleh, CEO of Scipher. “The ability to quickly validate novel targets identified by Spectra on TARA’s human tissue model platform allows us to rapidly iterate to identify most effective targets.” About TARA Biosystems, Inc. Headquartered in New York City, TARA Biosystems harnesses innovations in stem cell biology and tissue engineering to generate in vitro biology that recapitulates human physiology with unprecedented fidelity. Our highly versatile and robust platform captures integrated physiologic endpoints of human cardiac function across a wide repertoire of cardiac disease phenotypes. Our data facilitates decisive evaluation of the efficacy and risk of novel medicines, increasing the probability of success and decreasing long timeframes associated with traditional drug discovery efforts. Safer and more effective new medicines that rapidly make it to market means better health and longer lives, and we believe that benefits people everywhere. About Spectra A platform deciphering the complexity of disease by analyzing large patient molecular datasets through the unique lens of the human interactome and AI. Built upon over a decade of experimental research, the platform’s backbone is the network map of human biology explaining how proteins expressed from the human genome interact to cause specific disease phenotypes, providing the wiring diagram needed to interpret dynamic individual patient molecular data to reveal actual disease biology. Spectra™ is not a model but a disease representation rooted in experimental human biology and proprietary patient molecular data, allowing us to identify a patient’s unique disease signature, predict drug response to approved drugs and identify novel drug targets in patients not responding to existing therapies. About Scipher Medicine® Scipher Medicine, a precision immunology company, believes that patients deserve simple answers to treatment options based on scientifically backed data. Using our proprietary Spectra Network Biology platform and artificial intelligence, we commercialize blood tests revealing a person's unique molecular disease signature and match such signature to the most effective therapy, ensuring optimal treatment from day one. The patient molecular data generated from our tests further drives the discovery and development of novel and more effective therapeutics. We partner with payers, providers, and pharma along the health care value chain to bring precision medicine to autoimmune diseases.

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MedTech

Outcomes4Me Partners with Invitae to Offer Genetic Testing to Breast Cancer Patients

Outcomes4Me | October 12, 2021

Outcomes4Me Inc., developer of a leading free mobile app and platform to navigate cancer treatment and care, today announced that it has partnered with Invitae Corporation (NYSE: NVTA), a leading medical genetics company, to expand education and access to genetic testing to breast cancer patients and survivors. The collaboration leverages the strengths of Invitae, which supplies clinical grade genetic testing, and Outcomes4Me’s 360-degree, validated and evidence-based cancer support and treatment options via its free and easy-to-use app. Initially and currently available in the United States, patients can now receive genetic counseling through Invitae’s partnership with Genome Medical, get testing, and upload their results within the Outcomes4Me app.There is a misconception that genetic testing is only useful as a preventative tool prior to a cancer diagnosis. According to Outcomes4Me patient data, almost half of users (46 percent) who qualified for testing (based on NCCN Guidelines®) did not receive testing or did not know if they had received testing. However, genetic testing can provide insights that can help inform and refine precision therapy use and clinical treatment trial enrollment. In addition, genetic testing results can be used to help prevent recurrence and reduce incidence of other inherited cancers. A cancer diagnosis is often overwhelming for patients and their families. Outcomes4Me demystifies cancer by providing the most up-to-date and validated research, support, and treatment options, all grounded in science and data and curated according to the patient’s specific diagnosis. Outcomes4Me partners with the researchers, doctors, and academics that set the rigorous standards of cancer care for all treatment providers, including the National Comprehensive Care Network® (NCCN®), Vanderbilt-Ingram Cancer Center (VICC) and Massachusetts General Hospital (MGH). The collaboration with Invitae expands access to genetic testing, a vitally important tool in the patient’s cancer care arsenal. “Outcomes4Me is an indispensable platform for patients with breast cancer, giving them the personalized knowledge and access to timely new trials and targeted therapies that could lead to better health outcomes. By providing access to our comprehensive genetic testing and counseling services, Outcomes4Me is adding a valuable resource that will empower patients to advance their knowledge, understanding, and therefore, self-advocacy during treatment and survivorship.” Ed Esplin, M.D., Ph.D., FACMG, FACP, Clinical Geneticist at Invitae Unlike popular direct-to-consumer genetic testing services, which test for a few specific genetic variants for certain genes, Invitae provides state-of-the-art clinical grade next-generation sequencing-based (NGS) genetic testing that comprehensively analyses more than 80 genes, including all known mutations of the important BRCA1/BRCA2 genes. This comprehensive approach, combined with associated genetic counseling, not only provides insights for cancer patients, but also for family members who may be at risk. “Our collaboration with Invitae reinforces Outcomes4Me’s mission to give patients back control. Because of this work with Invitae, our valued community now has rare direct access to a much-needed testing service. Outcomes4Me will proudly continue to democratize the best in cancer treatment, research, and support by removing barriers and bias in information flow.” Maya R. Said, Sc. D., Founder and CEO of Outcomes4Me About Invitae Invitae Corporation (NYSE: NVTA) is a leading medical genetics company whose mission is to bring comprehensive genetic information into mainstream medicine to improve healthcare for billions of people. Invitae's goal is to aggregate the world's genetic tests into a single service with higher quality, faster turnaround time, and lower prices. About Outcomes4Me Outcomes4Me is on a mission to improve health outcomes by empowering patients with understandable, relevant and evidence-based information. Outcomes4Me has developed a platform for shared decision-making between patients and providers. The platform harnesses regulatory-grade, real-world data and patient experiences generating deeper insights and better outcomes to improve care and accelerate research. The Outcomes4Me mobile app enables cancer patients to make decisions and take control of their care based on information that is personalized to their specific condition, including finding treatment options, matching to clinical trials, and tracking and managing symptoms. Based in Boston, Massachusetts, Outcomes4Me, a woman-led company, comprises seasoned healthcare, oncology, pharmaceutical, consumer and technology veterans.

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Machine learning programme used to predict stem cell growth

Drug Target Review | November 21, 2019

Researchers have used a computational model to learn how to manipulate stem cell arrangement, including those that may eventually be useful in generating personalised organs. According to the team, their discovery could be used to develop model organs grown from a patient’s own cells, which could ‘revolutionise’ how diseases are treated by increasing disease understanding or testing drugs. The study was conducted by a team from Gladstone Institutes, in collaboration with Boston University, both US. Induced pluripotent stem (iPS) cells, similar to the stem cells found in an embryo, have the potential to become nearly every type of cell in the body. Although researchers can prompt these cells into differentiating into specific organ cells, they cannot grow into functioning three-dimensional (3D) organs. “Despite the importance of organisation for functioning tissues, we as scientists have had difficulty creating tissues in a dish with stem cells,” said Ashley Libby, co-first author. “Instead of an organised tissue, we often get a disorganised mix of different cell types.”

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Industrial Impact

TARA Biosystems Partners with Scipher Medicine®

TARA Biosystems | November 03, 2021

TARA Biosystemsa, biotechnology company harnessing human biology and data to transform cardiac drug discovery, today announced a collaboration with Scipher Medicine, a precision medicine company matching patients with the most effective therapy. The collaboration will address a critical unmet need for effective therapeutics in cardiac laminopathies. Cardiac laminopathies, associated with mutations in the LMNA gene, can result in electrical and mechanical changes in the heart. These changes can have profound clinical consequences, including cardiomyopathy, sudden cardiac death, and end-stage heart failure. At present, therapies that correct the underlying pathologies do not exist. “This collaboration demonstrates the transformative potential of combining biology-driven data with network biology to further drug discovery and development and unlock new medicines and therapeutics,” said Misti Ushio, PhD, CEO of TARA Biosystems Scipher will leverage human molecular data analyzed by its Spectra™ platform, which includes data from TARA’s BiowireTM II LMNA disease models, to identify novel targets for a stratified disease population. This approach aims to identify proteins upstream and downstream of LMNA signaling within the Spectra™ network model. The identified targets will be evaluated in TARA’s BiowireTM II platform, which consists of induced pluripotent stem cell-derived human cardiac tissue models, including a repertoire of healthy, gene-edited, patient-derived, and drug-induced phenotypes of human disease. “The Spectra platform uniquely integrates AI with the protein network of human cells to identify novel targets in highly complex and debilitating diseases such as laminopathy,” said Slava Akmaev, PhD, CTO, and Head of Therapeutics at Scipher Medicine. “By interrogating the network neighborhood of LMNA and its relationship with the proteins appropriate for targeted therapeutics we are confident that we can identify several novel and relevant drug targets.” “The TARA platform is highly versatile and can capture robust physiologic endpoints of human cardiac function, including contractility, electrophysiology, calcium signaling, structure, as well as genomic, proteomic, and metabolic profiles,” said Robert Langer, PhD, Board of Directors at TARA Biosystems. “We believe that TARA and Scipher combined efforts have the potential to lead to drug development that enables a truly personalized treatment for patients.” Under the terms of the partnership, TARA has the exclusive option to progress identified targets into drug discovery and clinical development. Scipher is eligible to receive milestone payments and royalties. TARA will retain the rights for the development, and commercialization of therapeutics for the selected targets. “The partnership with TARA is a further example of how our disease agnostic Spectra platform can be applied to where novel targets are most needed,” added Alif Saleh, CEO of Scipher. “The ability to quickly validate novel targets identified by Spectra on TARA’s human tissue model platform allows us to rapidly iterate to identify most effective targets.” About TARA Biosystems, Inc. Headquartered in New York City, TARA Biosystems harnesses innovations in stem cell biology and tissue engineering to generate in vitro biology that recapitulates human physiology with unprecedented fidelity. Our highly versatile and robust platform captures integrated physiologic endpoints of human cardiac function across a wide repertoire of cardiac disease phenotypes. Our data facilitates decisive evaluation of the efficacy and risk of novel medicines, increasing the probability of success and decreasing long timeframes associated with traditional drug discovery efforts. Safer and more effective new medicines that rapidly make it to market means better health and longer lives, and we believe that benefits people everywhere. About Spectra A platform deciphering the complexity of disease by analyzing large patient molecular datasets through the unique lens of the human interactome and AI. Built upon over a decade of experimental research, the platform’s backbone is the network map of human biology explaining how proteins expressed from the human genome interact to cause specific disease phenotypes, providing the wiring diagram needed to interpret dynamic individual patient molecular data to reveal actual disease biology. Spectra™ is not a model but a disease representation rooted in experimental human biology and proprietary patient molecular data, allowing us to identify a patient’s unique disease signature, predict drug response to approved drugs and identify novel drug targets in patients not responding to existing therapies. About Scipher Medicine® Scipher Medicine, a precision immunology company, believes that patients deserve simple answers to treatment options based on scientifically backed data. Using our proprietary Spectra Network Biology platform and artificial intelligence, we commercialize blood tests revealing a person's unique molecular disease signature and match such signature to the most effective therapy, ensuring optimal treatment from day one. The patient molecular data generated from our tests further drives the discovery and development of novel and more effective therapeutics. We partner with payers, providers, and pharma along the health care value chain to bring precision medicine to autoimmune diseases.

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MedTech

Outcomes4Me Partners with Invitae to Offer Genetic Testing to Breast Cancer Patients

Outcomes4Me | October 12, 2021

Outcomes4Me Inc., developer of a leading free mobile app and platform to navigate cancer treatment and care, today announced that it has partnered with Invitae Corporation (NYSE: NVTA), a leading medical genetics company, to expand education and access to genetic testing to breast cancer patients and survivors. The collaboration leverages the strengths of Invitae, which supplies clinical grade genetic testing, and Outcomes4Me’s 360-degree, validated and evidence-based cancer support and treatment options via its free and easy-to-use app. Initially and currently available in the United States, patients can now receive genetic counseling through Invitae’s partnership with Genome Medical, get testing, and upload their results within the Outcomes4Me app.There is a misconception that genetic testing is only useful as a preventative tool prior to a cancer diagnosis. According to Outcomes4Me patient data, almost half of users (46 percent) who qualified for testing (based on NCCN Guidelines®) did not receive testing or did not know if they had received testing. However, genetic testing can provide insights that can help inform and refine precision therapy use and clinical treatment trial enrollment. In addition, genetic testing results can be used to help prevent recurrence and reduce incidence of other inherited cancers. A cancer diagnosis is often overwhelming for patients and their families. Outcomes4Me demystifies cancer by providing the most up-to-date and validated research, support, and treatment options, all grounded in science and data and curated according to the patient’s specific diagnosis. Outcomes4Me partners with the researchers, doctors, and academics that set the rigorous standards of cancer care for all treatment providers, including the National Comprehensive Care Network® (NCCN®), Vanderbilt-Ingram Cancer Center (VICC) and Massachusetts General Hospital (MGH). The collaboration with Invitae expands access to genetic testing, a vitally important tool in the patient’s cancer care arsenal. “Outcomes4Me is an indispensable platform for patients with breast cancer, giving them the personalized knowledge and access to timely new trials and targeted therapies that could lead to better health outcomes. By providing access to our comprehensive genetic testing and counseling services, Outcomes4Me is adding a valuable resource that will empower patients to advance their knowledge, understanding, and therefore, self-advocacy during treatment and survivorship.” Ed Esplin, M.D., Ph.D., FACMG, FACP, Clinical Geneticist at Invitae Unlike popular direct-to-consumer genetic testing services, which test for a few specific genetic variants for certain genes, Invitae provides state-of-the-art clinical grade next-generation sequencing-based (NGS) genetic testing that comprehensively analyses more than 80 genes, including all known mutations of the important BRCA1/BRCA2 genes. This comprehensive approach, combined with associated genetic counseling, not only provides insights for cancer patients, but also for family members who may be at risk. “Our collaboration with Invitae reinforces Outcomes4Me’s mission to give patients back control. Because of this work with Invitae, our valued community now has rare direct access to a much-needed testing service. Outcomes4Me will proudly continue to democratize the best in cancer treatment, research, and support by removing barriers and bias in information flow.” Maya R. Said, Sc. D., Founder and CEO of Outcomes4Me About Invitae Invitae Corporation (NYSE: NVTA) is a leading medical genetics company whose mission is to bring comprehensive genetic information into mainstream medicine to improve healthcare for billions of people. Invitae's goal is to aggregate the world's genetic tests into a single service with higher quality, faster turnaround time, and lower prices. About Outcomes4Me Outcomes4Me is on a mission to improve health outcomes by empowering patients with understandable, relevant and evidence-based information. Outcomes4Me has developed a platform for shared decision-making between patients and providers. The platform harnesses regulatory-grade, real-world data and patient experiences generating deeper insights and better outcomes to improve care and accelerate research. The Outcomes4Me mobile app enables cancer patients to make decisions and take control of their care based on information that is personalized to their specific condition, including finding treatment options, matching to clinical trials, and tracking and managing symptoms. Based in Boston, Massachusetts, Outcomes4Me, a woman-led company, comprises seasoned healthcare, oncology, pharmaceutical, consumer and technology veterans.

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Machine learning programme used to predict stem cell growth

Drug Target Review | November 21, 2019

Researchers have used a computational model to learn how to manipulate stem cell arrangement, including those that may eventually be useful in generating personalised organs. According to the team, their discovery could be used to develop model organs grown from a patient’s own cells, which could ‘revolutionise’ how diseases are treated by increasing disease understanding or testing drugs. The study was conducted by a team from Gladstone Institutes, in collaboration with Boston University, both US. Induced pluripotent stem (iPS) cells, similar to the stem cells found in an embryo, have the potential to become nearly every type of cell in the body. Although researchers can prompt these cells into differentiating into specific organ cells, they cannot grow into functioning three-dimensional (3D) organs. “Despite the importance of organisation for functioning tissues, we as scientists have had difficulty creating tissues in a dish with stem cells,” said Ashley Libby, co-first author. “Instead of an organised tissue, we often get a disorganised mix of different cell types.”

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