| Name | Title | Contact Details |
|---|
Arcus Biosciences is an exciting young company founded on a vision of creating new cancer therapeutics through the utilization of emerging insights in immunology. Arcus was formed in 2015 by a group of seasoned researchers from the biotechnology and pharmaceutical industries and is located in the San Francisco bay area, in the heart of the world`s largest biotechnology research hub.
Sarepta Therapeutics is a Cambridge, MA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Galecto is a clinical stage biotechnology company committed to the development of novel small molecule therapeutics directed at biological targets which are at the heart of fibrosis, inflammation, and cancer. Galecto was founded by leading fibrosis-focused scientists and biotech executives and is built on more than 10 years of research into galectin and fibrosis modulators. Our team has developed a deep understanding of the galectin family of proteins and the LOXL2 enzyme, and how both influence multiple biological pathways of these complex, often devastating, diseases. Galecto is funded by Novo Holdings, OrbiMed, Ysios, HBM Healthcare Investments, Sunstone Capital, M Ventures, Bristol-Myers Squibb, Maverick Ventures, Seventure and SEED Capital.
Lipomics Technologies is a West Sacramento, CA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Exscientia is a global pharmatech company using patient-first artificial intelligence (AI) to discover better drugs, faster. Our mission is to encode, automate and transform every stage of the drug design and development process, by combining the latest AI techniques with experimental innovation, to enable the design of patient centric drug candidates with an improved probability of success. Our validated platform has delivered the first three AI-designed drugs to enter clinical trials and is the first AI system proven to improve clinical outcomes in oncology. We`ve significantly accelerated pre-clinical drug discovery, with 10x productivity improvement in delivering a drug candidate compared with industry standards. By actively applying AI to precision engineer medicines more rapidly and efficiently, we allow the best ideas of science to rapidly become the best medicines for patients.