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Psychemedics (NASDAQ: PMD) is the world`s leading drug testing company using hair for the detection of drugs of abuse. Psychemedics has been successfully operating for 30 years and thousands of corporations worldwide currently rely on Psychemedics` patented hair analysis technology for their pre-employment and employee drug screening. Psychemedics` clients include over 10% of the Fortune 500, some of the largest police departments in America, Federal Reserve Banks, and schools.
Superhuman hair. Engineered from nature.
Avectas is a cell engineering technology business developing a unique delivery platform to enable the ex vivo manufacture of gene-modified cell therapy products, which will retain high in vivo functionality. Our vision is to position the non-viral SOLUPORE® cell engineering technology to be integrated into manufacturing processes for multiple autologous and allogeneic therapies and commercialised through development and license agreements.
Providence is a clinical-stage biotechnology company pioneering mRNA therapeutics and vaccines with a focus on infectious diseases and oncology. Initially founded as a cancer vaccines company in 2015, in response to a worldwide need for a COVID-19 vaccine, Providence expanded its focus beyond oncology therapies to develop an mRNA vaccine for COVID-19. Providence works with multiple industry collaborators, universities, nongovernmental agencies and multiple arms of the Government of Canada to discover and develop vaccines and treatments for infectious diseases and cancer. This has resulted in the development of an mRNA vaccine platform that includes a proprietary design algorithm and proprietary, scalable manufacturing processes.
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.