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Delfi is developing a new class of liquid biopsy tests for early detection based on altered genome-wide fragmentation profiles, also known as "fragmentomes," representing aberrant packaging of DNA in cancer cells. By applying advanced machine learning algorithms, these fragment patterns are detectable at a very low sequencing cost. Delfi is using this technology to develop highly sensitive and specific cancer detection assays intended for wide and cost-effective distribution and adoption.
IDEAYA Biosciences is an oncology-focused biotechnology company committed to the discovery of personalized synthetic lethality medicines targeting DNA damage and repair for genetically defined patient populations and immuno-oncology therapies targeting the tumor microenvironment. Founded in 2015, IDEAYA`s investors include 5AM Ventures (5AM), Canaan Partners (Canaan), Celgene, WuXi Healthcare Ventures (WuXi), Novartis Institute of Biomedical Research, and Alexandria Real Estate. The Company has assembled a world-class drug discovery team and Scientific Advisory Board (SAB) that is represented by a Nobel Laureate and three Members of the National Academy of Sciences. IDEAYA is located in South San Francisco and La Jolla, California.
Artizan Biosciences, Inc. is a biotechnology company with a mission to restore lives disrupted by inflammatory disease through innovation and advancement of microbiota-targeted therapies. We are leveraging our proprietary IgA-SEQ™ technology platform to distinguish disease-driving bacteria from the intestinal microbiota with the goal of developing new and potentially curative treatments.
Biosearch Technologies is a Novato, CA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Canary Medical was conceived and created by a team of surgeons, medical device developers, and IoT experts with the vision that (1) healthcare transformation requires better and cheaper healthcare data, (2) better monitoring and better data will produce better outcomes at lower costs, and (3) the patient`s own their healthcare data and should be compensated for its use.