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Entelo applies intelligence to big data to help modern recruiters identify, qualify and engage talent. Today, more than 700 customers of all sizes and industries trust Entelo to provide their talent acquisition teams with higher candidate engagement, actionable insights and increased productivity. The leader in recruiting automation, Entelo helps organizations like Capital One, Cisco, GE, Genentech, Netflix, Northrop Grumman and Target build their teams.
ADF Engineering Inc is a Miamisburg, OH-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Ocera Therapeutics, Inc. is a clinical stage biopharmaceutical company focused on the development and commercialization of OCR-002 (ornithine phenylacetate). OCR-002 is an ammonia scavenger and has been granted orphan drug designation and Fast Track status by the U.S. Food and Drug Administration (FDA) for the treatment of hyperammonemia and resultant hepatic encephalopathy in patients with acute liver failure and acute-on-chronic liver disease.
Cidara is developing therapeutics to improve the standard of care for patients facing serious fungal or viral infections. The Company`s portfolio is comprised of breakthrough approaches aimed at transforming existing treatment and prevention paradigms, first with its lead Phase 3 antifungal candidate, rezafungin, in addition to antiviral conjugates (AVCs) targeting influenza and other viral diseases from Cidara`s proprietary Cloudbreak antiviral platform. Cidara is headquartered in San Diego, California.
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.