DNA Synthesis: Tackling the Main Bottleneck in Biology Research

A wave of new technologies to synthesize DNA faster, cheaper and more accurately could have a far-reaching impact across all areas of biology research. Ten years ago, Sylvain Gariel was working for the French oil company Total, engineering microorganisms to produce biofuels. It was tedious work. The advent of next-generation sequencing meant that a whole human genome could be read within one day instead of several years. So why not translate that principle into DNA synthesis? Gariel and two of his colleagues at Total started looking for a way to write DNA faster, cheaper and with fewer errors. In 2014, they founded DNAScript. The goal of this company based in Paris is to develop a brand new way of writing DNA that can replace traditional chemical synthesis.

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Akira

Akira is reimagining Canadian healthcare — we're changing how healthcare is delivered and empowering patients to be engaged and proactive about their health. Right Health combines virtual and face-to-face care to offer on-demand, accessible healthcare convenience at your fingertips. Akira is the technology platform within Right Health’s offering that provides you with an instant connection to great Canadian doctors, nurse practitioners, and more — all by secure text or video through the Akira smartphone app.

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MedTech

Data Analytics: A Groundbreaking Technology in Biotech

Article | September 22, 2022

Biotechnology is a vast discipline of biology that employs diverse biological systems to create solutions that can significantly alter the ways in which they operate across various domains. That said, biotechnology is not a new notion. It has existed for millennia, with ancient civilizations using its earliest incarnations to cultivate crops and create alcoholic beverages. Today, the biotechnology industry has developed by leaps and bounds and has amassed a vast quantity of scientific data through study and research. Given the importance of data in the biotechnology business, it is not difficult to understand why biotech companies utilize data analytics. Modern data analytics tools have made it possible for researchers in the biotech industry to build predictive analytics models and gain knowledge about the most efficient approaches to accomplish their desired goals and objectives. Data analytics is increasingly being adopted by biotech businesses to better understand their industry and foresee any problems down the road. How is Data Analytics Revolutionizing Fields in Biotechnology? Today's business and scientific fields greatly benefit from data. Without the analysis of vast information libraries that provide new insights and enable new innovations, no industry can really advance. Being highly reliant on big data analytics, biotech is not an exception in this regard. With the tools and methods that help scientists systematize their findings and speed up their research for better and safer results, data analytics is making deeper inroads into the biotechnology industry. It is emerging as a crucial link between knowledge and information and is extensively being used for purposes other than just examining the information that is already available. The following are a few of the cutting-edge biotechnology applications of data analytics Genomics and Disease Treatment Pharmaceutical Drug Discovery Drug Recycling and Safety Agriculture and Agri-products Environmental Damage Mitigation Data Analytics Possibilities in Biotechnology With data analytics becoming an integral part of how biotech businesses operate, biotechnologists and related stakeholders need to understand its emergence and crucial role. Data analytics has opened new frontiers in the realm of biotechnology. Thanks to developments in data analytics, research and development activities that once took years may now be accomplished in a matter of months. Also, now scientists have access to biological, social, and environmental insights that can be exploited to create more effective and sustainable products. By understanding the importance of data-related tools and techniques applications, biotech companies are aiming to invest in the popularizing technology to stay updated in the fast-paced biotechnology industry.

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MedTech

Better Purification and Recovery in Bioprocessing

Article | July 11, 2022

In the downstream portion of any bioprocess, one must pick through the dross before one can seize the gold the biotherapeutic that the bioprocess was always meant to generate. Unfortunately, the dross is both voluminous and various. And the biotherapeutic gold, unlike real gold, is corruptible. That is, it can suffer structural damage and activity loss. When discarding the dross and collecting the gold, bioprocessors must be efficient and gentle. They must, to the extent possible, eliminate contaminants and organic debris while ensuring that biotherapeutics avoid aggregation-inducing stresses and retain their integrity during purification and recovery. Anything less compromises purity and reduces yield. To purify and recover biotherapeutics efficiently and gently, bioprocessors must avail themselves of the most appropriate tools and techniques. Here, we talk with several experts about which tools and techniques can help bioprocessors overcome persistent challenges. Some of these experts also touch on new approaches that can help bioprocessors address emerging challenges.

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MedTech

Top 3 Biotech Clinical Data Management Trends to Watch in 2022

Article | July 12, 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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Industrial Impact

AI and Biotechnology: The Future of Healthcare Industry

Article | January 20, 2021

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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Spotlight

Akira

Akira is reimagining Canadian healthcare — we're changing how healthcare is delivered and empowering patients to be engaged and proactive about their health. Right Health combines virtual and face-to-face care to offer on-demand, accessible healthcare convenience at your fingertips. Akira is the technology platform within Right Health’s offering that provides you with an instant connection to great Canadian doctors, nurse practitioners, and more — all by secure text or video through the Akira smartphone app.

Related News

AI, Diagnostics

Genomic Vision Announces launch of FiberSmart

Genomic Vision | March 08, 2023

On March 7, 2023, Genomic Vision, a leading biotech company that develops products and services for the analysis and control of genome changes, launched FiberSmart®, an AI-based technology for automating the quantification and detection of fluorescent signals on combed DNA molecules. Initially available for the analysis of Replication Combing Assays (RCA), Genomic Vision's proprietary method for directly visualizing DNA replication kinetics at the single molecule level. FiberSmart uses advanced AI methods to detect, visualize, and analyze DNA replication kinetics up to 3x more accurately and up to 10x faster than Genomic Vision's existing software solutions. The technology offers a simple and user-friendly interface, facilitating quick analysis of DNA replication signals to deduce essential parameters describing replication kinetics. It is compatible with Genomic Vision's FiberVision® and FiberVision-S® scanners for the RCA assay of the company's proprietary DNA combing technology with various potential applications, including in gene and cell therapy quality control. FiberSmart has been successfully tested and validated by AstraZeneca and the Fritz Lipmann Institute in Germany. Genomic Vision's CEO Aaron Bensimon said, "The launch of FiberSmart® is an important milestone for Genomic Vision as we bring the benefits of powerful AI technology to our users, who can now perform faster and more accurate genomic analysis seamlessly. Our proprietary DNA combing technique has multiple potential applications, particularly in the cell and gene therapy space, where highly accurate genomic analysis is paramount to ensure robust quality standards are met. With the launch of this software we are making it easier for users to exploit the full potential of our proprietary advanced genomic analysis technique." (Source – Business Wire) About Genomic Vision GENOMIC VISION is a leading biotechnology company specializing in the analysis of genome modifications, with a focus on ensuring their quality and safety in genome editing technologies and biomanufacturing processes. It utilizes advanced nanotechnology for DNA analysis to develop cutting-edge diagnostic and drug discovery solutions for cancer and acute diseases at the intersection of genome dynamics and human diseases. The company's approach employs Molecular Combing Technology, a powerful technique that directly visualizes single DNA molecules to detect and quantify changes in the genome landscape and their contribution to pathology.

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Medical

Spotlight Therapeutics Raises $36.5 Million Series B to Advance a Pipeline of Cell-Targeted In Vivo CRISPR Gene Editing Biologics

Spotlight Therapeutics | March 22, 2022

Spotlight Therapeutics, Inc. (“Spotlight”), a biotechnology company applying new insights to develop cell-targeted in vivo CRISPR gene editing biologics, today announced a $36.5M Series B financing to fuel a drive toward the clinic. The financing round was co-led by new investors GordonMD Global Investments and EPIQ Capital Group, with participation from Magnetic Ventures, as well as existing investors GV (formerly Google Ventures) and Emerson Collective and other investors. Craig Gordon, M.D., Founder, CEO and CIO of GordonMD Global Investments, joins the Company’s Board of Directors. Spotlight's proprietary technology platform, TAGE (Targeted Active Gene Editors), is a new class of biologics; highly engineered, modular programmable CRISPR effectors designed to target and edit selected cell types in vivo. This approach circumvents the complexity of packaged viral, viral-like, and nanoparticle delivery systems, opens the door to expanded applications, and holds the promise of increasing patient access. We are excited to help Spotlight advance its pioneering work, which shows promise for cell-targeted delivery of CRISPR effectors in vivo. Spotlight’s TAGE platform could enable significant expansion of CRISPR medicines to a wide range of diseases." Dr. Gordon. This Series B funding is a crucial milestone as we advance our lead first-in-class immuno-oncology (IO) program and progress our pipeline of programs in IO, ophthalmic diseases and hemoglobinopathies,It will enable us to execute our development plan, leveraging Spotlight’s unique cell-targeted in vivo delivery approach, as we aspire to unlock the full potential of gene editing and enable effective one-and-done medicines for patients.” Mary Haak-Frendscho, Ph.D., President and CEO of Spotlight Therapeutics. About Spotlight Therapeutics Established in mid-2018, Spotlight Therapeutics is a privately held biotechnology company advancing a pipeline of cell-targeted in vivo CRISPR gene editing therapies. Spotlight's proprietary technology platform TAGE (Targeted Active Gene Editors) is a new class of biologics, CRISPR effectors engineered for direct delivery in vivo, to achieve cell-selective therapeutic genome editing. Spotlight's pipeline is advancing its modular programmable CRISPR effectors towards clinical studies in immuno-oncology, ophthalmic diseases and hemoglobinopathies. The company is headquartered in Hayward, California.

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Medical

TGen Selects MemVerge to Accelerate Idiopathic Pulmonary Fibrosis Research Discovery with Big Memory Technology

MemVerge | March 21, 2022

MemVerge™, the pioneers of Big Memory software, today announced that TGen, the Translational Genomics Research Institute, an affiliate of City of Hope, has selected MemVerge Memory Machine Big Memory virtualization software to accelerate time to discovery for Idiopathic Pulmonary Fibrosis (IPF), a disease which affects 100,000 people annually in the U.S. Using MemVerge technology, TGen is able to dramatically speed analytical processing by nearly 36% for single-cell RNA sequencing. As a nonprofit medical research institute, TGen researchers process single-cell RNA sequences to characterize cell transcriptomic profiles. The process can take up to six and a half hours to analyze a matrix of 30,000 genes by 114,000 cells. With consistently growing datasets, this processing time was preventing a desired time to discovery. The data required for analysis was simply too large to retain in traditional memory, and scaling capacity with dynamic random-access memory (DRAM) was too costly. TGen has instead deployed memory virtualization technology from MemVerge which virtualizes both DRAM and PMem (persistent memory) memory technologies, to increase the memory pool available for processing without requiring more high-cost DRAM. The solution further speeds TGen's genomics sequencing analysis with Memory Machine ZeroIO in-memory snapshots which capture multi-terabyte data sets at any point for rapid reloads at each stage of processing. The ZeroIO snapshot service is 1,000 times faster than the fastest storage snapshot to SSD and enables TGen to run processing workflows in parallel. This ensures that in the event of a system crash, in-memory snapshots are available to instantly re-start long running jobs without lengthy reloading. By utilizing the snapshotting and cloning capabilities of Memory Machine, we were able to parallelize the processing workflow, As a result, we can now save nearly 36% of computational time while also taking advantage of the big memory nodes. This will save a lot of time in downstream analysis." Glen Otero, Ph.D., Vice President of Scientific Computing at TGen. MemVerge Memory Machine has quickly resulted in research value for TGen, We have removed performance barriers from their research process so that they are able to perform vital, life-saving, research faster than ever possible. Now TGen is expanding the use of Big Memory technology across other research use cases where results and discoveries can produce findings for a healthier tomorrow." Jonathan Jiang, COO of MemVerge. MemVerge Memory Machine makes 100% use of available memory capacity while providing new operational capabilities to memory-centric workloads. Memory Machine answers the need for a modern in-memory computing model to support emerging applications that require real-time analytics, true in-memory computing, and fault-tolerant memory persistence to speed massive processing workloads. About MemVerge MemVerge is pioneering Big Memory Computing and Big Memory Cloud technology for the memory-centric and multi-cloud future. MemVerge® Memory Machine™ is the industry's first software to virtualize memory hardware for fine-grained provisioning of capacity, performance, availability, and mobility. On top of the transparent memory service, Memory Machine provides another industry first, ZeroIO™ in-memory snapshots which can encapsulate terabytes of application state within seconds and enable data management at the speed of memory. The breakthrough capabilities of Big Memory Computing and Big Memory Cloud Technology are opening the door to cloud agility and flexibility for thousands of Big Memory applications.

Read More

AI, Diagnostics

Genomic Vision Announces launch of FiberSmart

Genomic Vision | March 08, 2023

On March 7, 2023, Genomic Vision, a leading biotech company that develops products and services for the analysis and control of genome changes, launched FiberSmart®, an AI-based technology for automating the quantification and detection of fluorescent signals on combed DNA molecules. Initially available for the analysis of Replication Combing Assays (RCA), Genomic Vision's proprietary method for directly visualizing DNA replication kinetics at the single molecule level. FiberSmart uses advanced AI methods to detect, visualize, and analyze DNA replication kinetics up to 3x more accurately and up to 10x faster than Genomic Vision's existing software solutions. The technology offers a simple and user-friendly interface, facilitating quick analysis of DNA replication signals to deduce essential parameters describing replication kinetics. It is compatible with Genomic Vision's FiberVision® and FiberVision-S® scanners for the RCA assay of the company's proprietary DNA combing technology with various potential applications, including in gene and cell therapy quality control. FiberSmart has been successfully tested and validated by AstraZeneca and the Fritz Lipmann Institute in Germany. Genomic Vision's CEO Aaron Bensimon said, "The launch of FiberSmart® is an important milestone for Genomic Vision as we bring the benefits of powerful AI technology to our users, who can now perform faster and more accurate genomic analysis seamlessly. Our proprietary DNA combing technique has multiple potential applications, particularly in the cell and gene therapy space, where highly accurate genomic analysis is paramount to ensure robust quality standards are met. With the launch of this software we are making it easier for users to exploit the full potential of our proprietary advanced genomic analysis technique." (Source – Business Wire) About Genomic Vision GENOMIC VISION is a leading biotechnology company specializing in the analysis of genome modifications, with a focus on ensuring their quality and safety in genome editing technologies and biomanufacturing processes. It utilizes advanced nanotechnology for DNA analysis to develop cutting-edge diagnostic and drug discovery solutions for cancer and acute diseases at the intersection of genome dynamics and human diseases. The company's approach employs Molecular Combing Technology, a powerful technique that directly visualizes single DNA molecules to detect and quantify changes in the genome landscape and their contribution to pathology.

Read More

Medical

Spotlight Therapeutics Raises $36.5 Million Series B to Advance a Pipeline of Cell-Targeted In Vivo CRISPR Gene Editing Biologics

Spotlight Therapeutics | March 22, 2022

Spotlight Therapeutics, Inc. (“Spotlight”), a biotechnology company applying new insights to develop cell-targeted in vivo CRISPR gene editing biologics, today announced a $36.5M Series B financing to fuel a drive toward the clinic. The financing round was co-led by new investors GordonMD Global Investments and EPIQ Capital Group, with participation from Magnetic Ventures, as well as existing investors GV (formerly Google Ventures) and Emerson Collective and other investors. Craig Gordon, M.D., Founder, CEO and CIO of GordonMD Global Investments, joins the Company’s Board of Directors. Spotlight's proprietary technology platform, TAGE (Targeted Active Gene Editors), is a new class of biologics; highly engineered, modular programmable CRISPR effectors designed to target and edit selected cell types in vivo. This approach circumvents the complexity of packaged viral, viral-like, and nanoparticle delivery systems, opens the door to expanded applications, and holds the promise of increasing patient access. We are excited to help Spotlight advance its pioneering work, which shows promise for cell-targeted delivery of CRISPR effectors in vivo. Spotlight’s TAGE platform could enable significant expansion of CRISPR medicines to a wide range of diseases." Dr. Gordon. This Series B funding is a crucial milestone as we advance our lead first-in-class immuno-oncology (IO) program and progress our pipeline of programs in IO, ophthalmic diseases and hemoglobinopathies,It will enable us to execute our development plan, leveraging Spotlight’s unique cell-targeted in vivo delivery approach, as we aspire to unlock the full potential of gene editing and enable effective one-and-done medicines for patients.” Mary Haak-Frendscho, Ph.D., President and CEO of Spotlight Therapeutics. About Spotlight Therapeutics Established in mid-2018, Spotlight Therapeutics is a privately held biotechnology company advancing a pipeline of cell-targeted in vivo CRISPR gene editing therapies. Spotlight's proprietary technology platform TAGE (Targeted Active Gene Editors) is a new class of biologics, CRISPR effectors engineered for direct delivery in vivo, to achieve cell-selective therapeutic genome editing. Spotlight's pipeline is advancing its modular programmable CRISPR effectors towards clinical studies in immuno-oncology, ophthalmic diseases and hemoglobinopathies. The company is headquartered in Hayward, California.

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Medical

TGen Selects MemVerge to Accelerate Idiopathic Pulmonary Fibrosis Research Discovery with Big Memory Technology

MemVerge | March 21, 2022

MemVerge™, the pioneers of Big Memory software, today announced that TGen, the Translational Genomics Research Institute, an affiliate of City of Hope, has selected MemVerge Memory Machine Big Memory virtualization software to accelerate time to discovery for Idiopathic Pulmonary Fibrosis (IPF), a disease which affects 100,000 people annually in the U.S. Using MemVerge technology, TGen is able to dramatically speed analytical processing by nearly 36% for single-cell RNA sequencing. As a nonprofit medical research institute, TGen researchers process single-cell RNA sequences to characterize cell transcriptomic profiles. The process can take up to six and a half hours to analyze a matrix of 30,000 genes by 114,000 cells. With consistently growing datasets, this processing time was preventing a desired time to discovery. The data required for analysis was simply too large to retain in traditional memory, and scaling capacity with dynamic random-access memory (DRAM) was too costly. TGen has instead deployed memory virtualization technology from MemVerge which virtualizes both DRAM and PMem (persistent memory) memory technologies, to increase the memory pool available for processing without requiring more high-cost DRAM. The solution further speeds TGen's genomics sequencing analysis with Memory Machine ZeroIO in-memory snapshots which capture multi-terabyte data sets at any point for rapid reloads at each stage of processing. The ZeroIO snapshot service is 1,000 times faster than the fastest storage snapshot to SSD and enables TGen to run processing workflows in parallel. This ensures that in the event of a system crash, in-memory snapshots are available to instantly re-start long running jobs without lengthy reloading. By utilizing the snapshotting and cloning capabilities of Memory Machine, we were able to parallelize the processing workflow, As a result, we can now save nearly 36% of computational time while also taking advantage of the big memory nodes. This will save a lot of time in downstream analysis." Glen Otero, Ph.D., Vice President of Scientific Computing at TGen. MemVerge Memory Machine has quickly resulted in research value for TGen, We have removed performance barriers from their research process so that they are able to perform vital, life-saving, research faster than ever possible. Now TGen is expanding the use of Big Memory technology across other research use cases where results and discoveries can produce findings for a healthier tomorrow." Jonathan Jiang, COO of MemVerge. MemVerge Memory Machine makes 100% use of available memory capacity while providing new operational capabilities to memory-centric workloads. Memory Machine answers the need for a modern in-memory computing model to support emerging applications that require real-time analytics, true in-memory computing, and fault-tolerant memory persistence to speed massive processing workloads. About MemVerge MemVerge is pioneering Big Memory Computing and Big Memory Cloud technology for the memory-centric and multi-cloud future. MemVerge® Memory Machine™ is the industry's first software to virtualize memory hardware for fine-grained provisioning of capacity, performance, availability, and mobility. On top of the transparent memory service, Memory Machine provides another industry first, ZeroIO™ in-memory snapshots which can encapsulate terabytes of application state within seconds and enable data management at the speed of memory. The breakthrough capabilities of Big Memory Computing and Big Memory Cloud Technology are opening the door to cloud agility and flexibility for thousands of Big Memory applications.

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