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13Therapeutics Inc is a Portland, OR-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Gilva Biotechnology is a Belmont, CA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Mo Bio Labs is a Carlsbad, CA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Incyte is a biopharmaceutical company focused on the discovery, development and commercialization of innovative medicines that will meet serious unmet medical needs in oncology and other diseases. Incyte is a company driven by innovation, and we believe that investment in cutting-edge science and the rigorous pursuit of R&D excellence can translate into new medicines for serious unmet medical needs that positively impact patients` lives. Incyte has a diverse and growing portfolio of first-in-class and best-in-class product candidates, including both small and large molecules. Incyte is headquartered in Wilmington, Delaware with operations in 10 European countries and Japan. Our more than 1,000 employees are led by distinguished executives with proven records of success. We are proud to have been recognized by Forbes as one of the World`s Most Innovative Companies for each of the past three years.
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.