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Geo Digm Corporation is a Chanhassen, MN-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Neurogene is accelerating development of new genetic medicines to people with devastating neurological diseases and their families.
Better Therapeutics ("Better") is developing first-in-class prescription digital therapeutics to deliver behavioral therapy to patients. Led by an experienced team of biotechnology executives with funding from top-tier industry investors, Better expects to go public through a merger with SPAC Mountain Crest Acquisition Corp. (NASDAQ: MCAD) during the summer of 2021. Better was founded upon the realization that nearly half a trillion dollars are spent each year treating the symptoms or effects of cardiometabolic diseases while little is being done to address the behaviors that cause them. Better has created prescription software that it believes has the opportunity to fundamentally change the treatment of a broad range of cardiometabolic diseases beginning with type 2 diabetes. The team is focused on creating significant patient impact through the launch of their first product in 2023. Better is developing a portfolio of regulated software products that treat the root causes of disease, improving the health and quality of life of patients while giving providers and payers access to cost-effective digital behavior therapies.
Edifice Health is a digital health spin-out company from a 10-year Stanford research in human immunology offering a novel metric of inflammatory health.
insitro is a data-driven drug discovery and development company that leverages machine learning and high-throughput biology to transform the way medicines are created to help patients. At insitro, we are rethinking the entire drug discovery process, from the perspective of machine learning, human genetics, and high-throughput, quantitative biology. Over the past five decades, we have seen the development of new medicines becoming increasingly more difficult and expensive, leaving many patients with significant unmet need. We`re embarking on a new approach to drug development – one that leverages machine learning and unique in vitro strategies for modeling disease state and designing new therapeutic interventions. We aim to eliminate key bottlenecks in traditional drug discovery, so we can help more people sooner and at a much lower cost to the patient and the healthcare industry. We believe that by harnessing the power of technology to interrogate and measure human biology, we can have a major impact on many diseases. We invest heavily in cutting edge bioengineering technologies to enable the construction of large-scale, high-quality data sets that are designed specifically to drive machine learning methods. Our first application is to use human genetics, functional genomics, and machine learning to build a new generation of in vitro human cell-derived disease models whose response to perturbation is designed to be predictive of human clinical outcomes.