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Clovis Oncology is a Boulder, CO-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
ARKAL MEDICAL INC is a Fremont, CA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Aerin`s advanced treatment platform utilizes low-power radiofrequency energy to remodel nasal soft tissues and address the underlying cause of nasal congestion. Treatment styluses are uniquely designed for each procedure and deliver energy to the target tissue surface without the need for incisions or tissue penetration.Proprietary algorithms ensure that targeted tissues are exposed to carefully controlled energy resulting in treatment temperatures that are below the tissue ablation range. The technology is protected by a comprehensive patent estate consisting of both method and design patents.
Synthekine is an engineered cytokine therapeutics company developing disease-optimized treatments.
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.