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With a passion for pioneering breakthrough solutions, we are committed to the advancement of immuno-oncology through the engagement of new and complementary phagocytic pathways that enhance anti-tumor efficacy and selectivity.
Cytovale, based in San Francisco, Calif., is a medical technology company dedicated to revolutionizing diagnostics using cell mechanics and machine learning, and applying this first to sepsis, a condition whose early detection dramatically improves patient outcomes.
PT Development (PTD) is a Louisville-based operational management firm that specializes in providing operational efficiencies such as accounting, customer service, marketing, compliance, and human resource services to privately held physical therapy practices. Founded by Dr. Larry Benz in 1994, PTD’s primary goal is to help our clients achieve clinical excellence through aligning business strategies, streamlining processes, and building equity through quality customer service.
Sellas Life Sciences is a healthcare-oriented global group of companies with a unique and innovative vision, which is ambitious, yet clear: to practice the medicine of tomorrow, today. In other words, we incorporate innovation throughout all our activities aiming at breakthroughs that will have a significant impact on the thinking and practicing of healthcare worldwide. Our international team of acknowledged scientists, doctors and health professionals along with a seasoned and highly experienced pharmaceutical executive management form the core of Σellas. We strive to improve patients` quality of life through developing and commercializing cutting-edge drugs, medical devices and innovative therapies.
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.