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Clinical Glycoproteomics + Artificial Intelligence
Lathrop is a San Jose, CA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
NFlection is a biopharmaceutical company focused on the development of novel therapies to address the needs of patients with neurofibromatosis type 1, immunosuppressant-mediated squamous cell carcinoma, and congenital birthmarks such as keratinocytic epidermal nevi and nevus sebaceous.
Entrada Therapeutics is a biopharmaceutical company aiming to transform the lives of patients by establishing a new class of medicines, Endosomal Escape Vehicles (EEV™), to engage intracellular targets that have long been considered inaccessible and undruggable. The Company`s EEV therapeutics are designed to enable the efficient intracellular delivery of a wide range of therapeutics into a variety of organs and tissues with an improved therapeutic index. Through its proprietary, highly versatile and modular EEV Platform, Entrada is building a robust development portfolio of oligonucleotide-, antibody- and enzyme-based programs for the potential treatment of neuromuscular disease, immunology, oncology and diseases of the central nervous system.
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.