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LA Habilitation House is a Long Beach, CA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
KalVista is a clinical stage pharmaceuticals company focused on the discovery, development, and commercialization of small molecule protease inhibitors.
Bedrocan is an experienced producer of pharmaceutical-grade medicinal cannabis with over 13 years growing expertise in global markets. We provide patients and healthcare professionals with safe, effective and consistent medicine for the appropriate management of diagnosed health conditions. Our strains of pharmaceutical-grade cannabis are used by thousands of patients in seven countries, including Canada. We provide three fully standardized products, and as a result, our standardized strains are the choice for researchers and academics who study the medical effects of cannabis.
Young Living Essential Oils is a Lehi, UT-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
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.