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Shenandoah Biotechnology is a Warminster, PA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Nightingale Health is a health technology company transforming preventive care. We envisage a world that focuses on keeping people healthy rather than just treating illnesses. The wide-ranging disease risk predictions provided by Nightingale consist of two interconnected factors: The extensive blood analysis technology developed by Nightingale and a large amount of data on health events. Nightingale helps people make better personal health decisions and connects the health industry to offer their services for individuals preventative needs. By empowering the world with comprehensive health insights, we accelerate scientific discoveries, industry developments and improve personal health for everyone. We`re a team of 60 members––a diverse bunch with interdisciplinary expertise in business, marketing, computational medicine, data science, healthcare, IT, design and more––who envisage a world that focuses on keeping people healthy rather than just treating illnesses. So, if you are looking to enable good tech that could make a real difference, Nightingale is the place to be
Disc Medicine is a clinical-stage biopharmaceutical company that is dedicated to transforming the lives of patients with hematologic disorders. We are building a portfolio of innovative, first-in-class therapeutic candidates that affect fundamental pathways of red blood cell biology. Disc Medicine is committed to developing treatments that empower and bring hope to the many patients who suffer from hematologic disease.
Allied Safety Associates is a West Columbia, SC-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.