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Quintessence Biosciences Inc is a Madison, WI-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Advaxis, Inc., a clinical development stage biotechnology company, focuses on developing immunotherapies for cancer and infectious diseases. Its Lm -LLO immunotherapy platform technology stimulates the immune system to induce antigen-specific anti-tumor immune responses involving innate and adaptive arms of the immune system by inhibiting the T-cells, Tregs, myeloid-derived suppressor cells, and MDSC to promote immunologic tolerance of cancer cells in the tumor. The company’s platform technology also facilitates the immune response by altering the tumor microenvironment to reduce immunologic tolerance in the tumors that makes the tumor more susceptible to immune attack. It has approximately 15 distinct immunotherapies in various stages of development, directly developed by the company and through strategic collaborations. The company’s products in clinical development stage comprise ADXS-HPV that is being evaluated in various clinical trials for cervical cancer, head and neck cancer, and anal cancer; ADXS-PSA for the treatment of prostate cancer; and ADXS-cHER2 for the treatment of overexpressing cancers, such as breast, gastric, and other cancers in humans, as well as for osteosarcoma in canines. Advaxis, Inc. was founded in 2002 and is based in Princeton, New Jersey.
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.
Clinical Glycoproteomics + Artificial Intelligence