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ZS Pharma is using innovative technology to change the landscape of disease management. At ZS Pharma, we have a vision—to transform the status quo and improve the options for patients and physicians facing difficult-to-manage conditions such as ion imbalances. We are committed to taking on medicine’s challenges with a new outlook, and we believe that real progress comes with a real promise to approach things in a novel way.
ACM Global central laboratory is a Rochester, NY-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Dova is a clinical-stage pharmaceutical company focused on acquiring, developing and commercializing drug candidates for rare diseases where there is a high unmet medical need. With a nimble approach and a team of bright minds aglow with passion, we’re...
Pendulum is committed to developing novel interventions that target the human microbiome to improve the lives of patients suffering from a variety of diseases. Our targeted formulations of natural bacterial strains help to rebalance the microbiome which restores and improve one`s health.
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.