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We are a clinical-stage biopharmaceutical company focused on changing the lives of patients living with nonalcoholic steatohepatitis (NASH) and other liver and metabolic disorders. Our teams in the US and Israel are developing highly differentiated medicines that address unmet medical needs based on robust research. Our lead product candidate, BIO89-100, is a novel long-acting glycopegylated fibroblast growth factor 21 (FGF21) analogue.
At TwinStrand Biosciences we are using Duplex Sequencing ™ Technology to detect ultra-rare variants that are invisible by other sequencing approaches. We are applying our technology to a new generation of high-accuracy clinical diagnostics and innovative tools for scientific discovery.
We are The Machine Learning Immunology Company. Seismic Therapeutic is a biotechnology company integrating machine learning across the entire biologics drug discovery and development process. Using our IMPACT™ platform, we are fully integrating machine learning with the key elements of biologics drug discovery – structural biology, protein engineering and translational immunology – to create optimized therapies for patients. Seismic Therapeutic has an emerging pipeline of novel approaches to address adaptive immune system dysregulation to treat autoimmune diseases. The company is backed by a strong syndicate of life sciences investors and is located in the Boston biotechnology hub.
Mo Bio Labs is a Carlsbad, CA-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.