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Neuraptive is bringing novel therapeutic technology for the acute surgical repair of injured peripheral nerves.
SomaGenics is a Santa Cruz, CA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
IGM Biosciences, Inc. is a privately held biotechnology company that has been focused on creating and developing novel IgM and IgA antibodies that improve the treatment of cancer and other diseases since 2010.
Nanosphere is dedicated to enhancing medicine by providing targeted molecular diagnostic tests that can lead to earlier disease detection, optimal patient treatment and improved healthcare economics. Nanosphere’s platform, the Verigene® System, enables clinicians to rapidly identify and treat the bacteria and viruses responsible for some of the most complex, costly and deadly infectious diseases. Headquartered in Northbrook, Illinois, Nanosphere was founded in 1999 based upon technology developed at Northwestern University by Dr. Robert Letsinger and Dr. Chad Mirkin. In 2007, Nanosphere went public (NASDAQ: NSPH), and has remained committed to continued scientific discovery and innovation with more than 175 patents to its name.
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.