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Zygote is a Lindon, UT-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Cathay Industrial Biotech Ltd is a Mt Zion, IL-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
What if we told you that our bodies make use of only a few hundred different signaling pathways to control all of our 20,000 or so genes. We call it the gene circuitry code, unique for every gene in our body. CAMP4 has built a proprietary 4-D Gene Circuity Platform to codify the discrete set of combinatorial rules used by any human cell type central to disease pathology. By applying the power of computational biology and machine learning algorithms, CAMP4 is able to rapidly solve for druggable targets to control the output of any disease gene of interest.
Accelerator Life Science Partners catalyzes the development and commercialization of breakthrough biotechnology innovations.
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.