Home > Resources > Articles > Could editing the DNA of embryos with CRISPR help save people who are already alive?

Could editing the DNA of embryos with CRISPR help save people who are already alive?

Amid last year’s backlash against the birth of the world’s first genetically edited babies, some experts preached prudence: Editing the genomes of embryos, they argued, could one day “cure” people of diseases before they’re even born. But there is another, less-discussed potential application of editing an embryo: tweaking its DNA to help save someone who is already alive. Take the case of Jessica and Keith, a couple in the Bay Area with a 2 1/2-year-old daughter with Fanconi anemia, a genetic disease that leads to the failure of bone marrow to produce red and white blood cells and carries an increased risk of a number of cancers. The best treatment is a stem cell transplant from a sibling, and Jessica and Keith, who asked that their last name not be used, are now in the process of trying to have another child through IVF who can serve as a donor — what’s known as a savior sibling.

Spotlight

Applied Medical

As a new generation medical device company, Applied Medical is focused on meeting three fundamental healthcare needs: enhanced clinical outcomes, cost containment and unrestricted choice. Our vertically integrated programs in design, development, manufacturing, and distribution enable us to consistently meet these objectives. Our state-of-the-art manufacturing plants are located in Southern California with distribution centers in Atlanta, New York, Europe, and Australia.

OTHER ARTICLES
MedTech

AI and Biotechnology: The Future of Healthcare Industry

Article | July 13, 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.

Read More
Medical

Data Analytics: A Groundbreaking Technology in Biotech

Article | August 16, 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.

Read More
MedTech

Advancement in Genomics Accelerating its Penetration into Precision Health

Article | September 22, 2022

Genomics is an interdisciplinary field of biology emphasizing the structure, editing, evolution, function, and mapping of genomes. It is creating deeper inroads across the precision health domain with the increasing introduction of advanced technologies such as quantum simulation, next-generation sequencing (NGS), and precise genome manipulation. As precision health focuses on providing the proper intervention to the right patient at the right time, genomics increasingly finds applications in human and pathogen genome sequencing in clinical and research spaces. Rising Hereditary Diseases Burden Paving the Way for Genomics in Precision Health In the last few years, a significant surge in the prevalence of diseases and ailments such as diabetes, obesity, baldness, and others has been witnessed across the globe. A history of family members with chronic diseases, such as cancer, diabetes, high blood pressure, hearing issues, and heart disease, can sometimes continue into the next generation. Hence, the study of genes is extensively being conducted for predicting health risks and early treatment of these diseases. It also finds use in CRISPR-based diagnostics and the preparation of precision medication for the individual. In addition, ongoing advancements in genomics are making it possible to identify different genetic traits that persuade people to more widespread diseases and health problems. The Emergence of Genomics Improves Disease Understanding Genomics refers to the study of the complete genetic makeup of a cell or organism. Increasing scientific research in the area substantially contributes to increasing knowledge about the human genome and assists in improving the ability to understand disease etiology, risk, diagnosis, treatment, and prevention. On account of these improvements, innovative genomic technologies and tools are being developed to enable better precision health not only for the individual but for various regional populations as well. The Way Forward With growing preference for personalized medicine and an increasing need for more accurate pathogen detection and diagnostics, genomics is gaining huge popularity across the precision health domain. Also, increasing research activities for developing novel high-precision therapeutics and rising importance of gene study in the prevention, diagnosis, and management of infectious and genetic diseases will further pave the way for genomics in the forthcoming years.

Read More
MedTech

Next-Gen Genetics Cancer Therapies Creating Investment Prospects

Article | July 5, 2022

Genetic therapeutics such as genetic engineering and gene therapy are increasingly emerging as one of the most influential and transformed biotechnological solutions around the globe in recent times. These genetic solutions are being assessed across various medical domains, including cancer treatment, neurology, oncology, and ophthalmology. Citing the trend, the genetics industry is estimated to experience a tsunami of approvals, with over 1,000 cell and gene therapy clinical trials currently underway and over 900 companies worldwide focusing on these cutting-edge therapies. Growing Cancer Encourages Advancements in Genetic Technologies With the surging cases of cancers such as leukemias, carcinomas, lymphomas, and others, patients worldwide are increasing their spending on adopting novel therapeutic solutions for non-recurring treatment of the disease, such as gene therapy, genetic engineering, T-cell therapy, and gene editing. As per a study by the Fight Cancer Organization, spending on the treatment of cancer increased to $200.7 billion, and the amount is anticipated to exceed $245 billion by the end of 2030. Growing revenue prospects are encouraging biotechnology and biopharmaceutical companies to develop novel genetic solutions for cancer treatment. For instance, Bristol-Myers Squibb K.K., a Japanese pharmaceutical company, introduced a B-cell maturation antigen (BCMA)-directed chimeric antigen receptor (CAR) T cell immunotherapy, Abecma, for the treatment of relapsed or refractory (R/R) multiple myeloma in 2022. Amid a New Market: Genetics Will Attract Massive Investments Despite several developments and technological advancements, genetics is still considered to be in a nascent stage, providing significant prospects for growth to the companies that are already operating in the domain. Genetics solutions such as gene therapies, gene editing, and T-cell immunotherapy are emerging as highly active treatments across various medical fields, resulting in increasing research and development activities across the domain, drawing significant attention from investors. Given the potential of genetic treatments and the focus on finding new ways to treat cancer and other related diseases, it's easy to understand why companies are investing in the domain. For instance, Pfizer has recently announced an investment of around $800 million to construct development facilities supporting gene therapy manufacturing from initial preclinical research through final commercial-scale production. Due to these advancements, cell and gene therapies are forecast to grow from $4 billion annually to more than $45 billion, exhibiting growth at a 63% CAGR. The Future of Genetics Though there is a significant rise in advancement in genetic technologies and developments, the number of approved genetic treatments remains extremely small. However, with gene transfer and CRISPR solutions emerging as new modalities for cancer treatment, the start-up companies will attract a growing amount and proportion of private and public investments. This is expected present a tremendous opportunity for biopharma and biotechnology investors to help fund and benefit from the medical industry's shift from traditional treatments to cutting-edge genetic therapeutics in the coming years.

Read More
MedTech

Next-Gen Gene Therapy to Counter Complex Diseases

Article | July 13, 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.

Read More
Medical

Laboratory Information Management System for Biotech Labs: Significance & Benefits

Article | August 16, 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.

Read More
MedTech

Top 3 Biotech Clinical Data Management Trends to Watch in 2022

Article | September 22, 2022

Genomics is an interdisciplinary field of biology emphasizing the structure, editing, evolution, function, and mapping of genomes. It is creating deeper inroads across the precision health domain with the increasing introduction of advanced technologies such as quantum simulation, next-generation sequencing (NGS), and precise genome manipulation. As precision health focuses on providing the proper intervention to the right patient at the right time, genomics increasingly finds applications in human and pathogen genome sequencing in clinical and research spaces. Rising Hereditary Diseases Burden Paving the Way for Genomics in Precision Health In the last few years, a significant surge in the prevalence of diseases and ailments such as diabetes, obesity, baldness, and others has been witnessed across the globe. A history of family members with chronic diseases, such as cancer, diabetes, high blood pressure, hearing issues, and heart disease, can sometimes continue into the next generation. Hence, the study of genes is extensively being conducted for predicting health risks and early treatment of these diseases. It also finds use in CRISPR-based diagnostics and the preparation of precision medication for the individual. In addition, ongoing advancements in genomics are making it possible to identify different genetic traits that persuade people to more widespread diseases and health problems. The Emergence of Genomics Improves Disease Understanding Genomics refers to the study of the complete genetic makeup of a cell or organism. Increasing scientific research in the area substantially contributes to increasing knowledge about the human genome and assists in improving the ability to understand disease etiology, risk, diagnosis, treatment, and prevention. On account of these improvements, innovative genomic technologies and tools are being developed to enable better precision health not only for the individual but for various regional populations as well. The Way Forward With growing preference for personalized medicine and an increasing need for more accurate pathogen detection and diagnostics, genomics is gaining huge popularity across the precision health domain. Also, increasing research activities for developing novel high-precision therapeutics and rising importance of gene study in the prevention, diagnosis, and management of infectious and genetic diseases will further pave the way for genomics in the forthcoming years.

Read More
MedTech

Next-Gen Genetics Cancer Therapies Creating Investment Prospects

Article | July 5, 2022

Genetic therapeutics such as genetic engineering and gene therapy are increasingly emerging as one of the most influential and transformed biotechnological solutions around the globe in recent times. These genetic solutions are being assessed across various medical domains, including cancer treatment, neurology, oncology, and ophthalmology. Citing the trend, the genetics industry is estimated to experience a tsunami of approvals, with over 1,000 cell and gene therapy clinical trials currently underway and over 900 companies worldwide focusing on these cutting-edge therapies. Growing Cancer Encourages Advancements in Genetic Technologies With the surging cases of cancers such as leukemias, carcinomas, lymphomas, and others, patients worldwide are increasing their spending on adopting novel therapeutic solutions for non-recurring treatment of the disease, such as gene therapy, genetic engineering, T-cell therapy, and gene editing. As per a study by the Fight Cancer Organization, spending on the treatment of cancer increased to $200.7 billion, and the amount is anticipated to exceed $245 billion by the end of 2030. Growing revenue prospects are encouraging biotechnology and biopharmaceutical companies to develop novel genetic solutions for cancer treatment. For instance, Bristol-Myers Squibb K.K., a Japanese pharmaceutical company, introduced a B-cell maturation antigen (BCMA)-directed chimeric antigen receptor (CAR) T cell immunotherapy, Abecma, for the treatment of relapsed or refractory (R/R) multiple myeloma in 2022. Amid a New Market: Genetics Will Attract Massive Investments Despite several developments and technological advancements, genetics is still considered to be in a nascent stage, providing significant prospects for growth to the companies that are already operating in the domain. Genetics solutions such as gene therapies, gene editing, and T-cell immunotherapy are emerging as highly active treatments across various medical fields, resulting in increasing research and development activities across the domain, drawing significant attention from investors. Given the potential of genetic treatments and the focus on finding new ways to treat cancer and other related diseases, it's easy to understand why companies are investing in the domain. For instance, Pfizer has recently announced an investment of around $800 million to construct development facilities supporting gene therapy manufacturing from initial preclinical research through final commercial-scale production. Due to these advancements, cell and gene therapies are forecast to grow from $4 billion annually to more than $45 billion, exhibiting growth at a 63% CAGR. The Future of Genetics Though there is a significant rise in advancement in genetic technologies and developments, the number of approved genetic treatments remains extremely small. However, with gene transfer and CRISPR solutions emerging as new modalities for cancer treatment, the start-up companies will attract a growing amount and proportion of private and public investments. This is expected present a tremendous opportunity for biopharma and biotechnology investors to help fund and benefit from the medical industry's shift from traditional treatments to cutting-edge genetic therapeutics in the coming years.

Read More
MORE ARTICLES

Spotlight

Applied Medical

As a new generation medical device company, Applied Medical is focused on meeting three fundamental healthcare needs: enhanced clinical outcomes, cost containment and unrestricted choice. Our vertically integrated programs in design, development, manufacturing, and distribution enable us to consistently meet these objectives. Our state-of-the-art manufacturing plants are located in Southern California with distribution centers in Atlanta, New York, Europe, and Australia.

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.

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.

Read More

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.

Read More

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

Events