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Founded in 2000, Rosetta's integrative research platform combining bioinformatics and state-of- the-art laboratory processes has led to the discovery of hundreds of biologically validated novel human microRNAs. Building on its strong patent position and proprietary platform technologies, Rosetta is working on the application of these technologies in the development and commercialization of a full range of microRNA-based diagnostic tools and therapeutics. Rosetta currently commercializes a full range of microRNA-based molecular diagnostics. Rosetta's cancer testing services are commercially available through its Philadelphia-based CAP-accredited, CLIA-certified lab.
EGEN is a Huntsville, AL-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Accelerator Life Science Partners catalyzes the development and commercialization of breakthrough biotechnology innovations.
At the forefront of the medical and digital revolutions, Voluntis is a pioneer of digital therapeutics. We design prescription applications that embed medical intelligence in the smartphones of people suffering from chronic and rare diseases. By using our software, patients leverage their health data to simplify their medical care. Treatment is personalized, doctors and patients are connected to coordinate care and real-world outcomes are improved. Harnessing its proprietary technology, Voluntis has developed digital solutions for diabetes, respiratory diseases, cancer, anticoagulation and hemophilia. Whether in our French or US offices, we are always on the look out for talent that is passionate about digital technologies and changing patients` lives.
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.