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BioDigital is a New York-based biomedical visualization company that is often referred to as being "Google Earth for the Human Body".
Ÿnsect is the world leader in the production of protein and natural insect fertilizers. Founded in 2011 in Paris, France, by both scientists and environmental activists, Next40 and B Corp-certified, the company processes insects into high-end, high-value ingredients for pets, fish, plants and humans. From its purpose-built state-of-the-art farms, Ÿnsect offers a long-term, sustainable, organic solution to accelerate protein and plant consumption. Ÿnsect uses pioneering proprietary technology covered by 377 patents across 44 categories, to produce lesser and yellow mealworms in fully automated vertical farms. Ÿnsect runs three production sites, one in Dole, France (commissioned 2016), one in the Netherlands (2017), one in the USA (since 2022), and a third site, the world`s largest vertical farm, in Amiens in France, is currently under construction. The company, which employs 360+ people, has raised around $ 500 million from major global investment funds, banks and public bodies and exports its products around the world.
Senior Care Professionals is a Tucson, AZ-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Hohenstein Institute America, Inc is a Elon, NC-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
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.