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Bio Essence Corp is a Richmond, CA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
ViroCyt is the leader in the field of rapid virus quantification. Our goal is to provide the tools that deliver meaningful improvements to mission critical processes, such as vaccine manufacturing, protein expression, antiviral development and other settings where viruses play a significant role.
InterVenn Biosciences utilizes a proprietary high-throughput glycoproteomic interrogation platform using artificial intelligence and mass spectrometry for next-gen precision medicine. The company is working to find new solutions in ovarian, pancreatic, liver, prostate, and kidney cancer, together with applications from the Vista suite of solutions for treatment and monitoring, immune profiling, patient stratification, and disease progression.
Aileron Therapeutics, based in Cambridge, Massachusetts, is a biopharmaceutical company developing and advancing a revolutionary class of drugs called Stapled Peptides. The company`s proprietary Stapled Peptides platform is a breakthrough approach to creating drugs for highly sought after biological targets using its novel peptide stabilizing technologies.
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.