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Integrated Genomics Inc is a Arlington Heights, IL-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
MonoSol Rx is a specialty pharmaceutical company leveraging its proprietary PharmFilm® drug delivery technology to develop products that improve patient outcomes and address unmet needs. These pharmaceutical and over-the-counter products are developed independently and with partners. PharmFilm can provide a benefit to patients by improving the efficacy, safety, and convenience of currently marketed pharmaceutical products. PharmFilm enhances new pharmaceutical products with the unique, multi-faceted value proposition afforded by film delivery. MonoSol Rx`s leadership in film drug delivery is supported by strong IP protection, a robust pipeline of prescription drug formulations, and two FDA-approved products — Suboxone® (buprenorphine and naloxone) sublingual film and Zuplenz® (ondansetron) oral soluble film.
The founders of NXT-ID were an integral part of the senior management teams at Technest Holdings, Inc., and its subsidiary Genex Technologies. Genex Technologies was founded in 1995 to develop and commercialize the unique Rainbow® method of capturing 3D data. Since its founding Genex has developed into one of the market leaders in advanced imaging, including 3D and 360-degree technologies. Genex has developed innovative technologies and products for all aspects of imaging, including capture, processing, display, and enhancement. Genex’s products range from 3D cameras to surveillance algorithms to integrated facial recognition systems. Genex and Technest have won awards from the Department of Defense, NIH, NIST and NSF amounting to over $30 million in support of this technology. NXT-ID has licensed all the Technest /Genex technology (exclusively in many markets) to provide a product portfolio and a strong technical foundation for its further development efforts. In addition, NXT-ID has also licensed patents and know-how from the shareholders of Geometrix, Inc., a leading 3D imaging company using a different technical approach to Technest. This technology performed very favorably at the Face Recognition Vendor Test conducted by the National Institute of Science and Technology (NIST). NXT-ID also has key scientific and engineering personnel that have had key roles in the development of these technologies and have an important intellectual knowledge base that the Company intends to leverage.
With offices in Philadephia and Boston, SwanBio Therapeutics is developing leading-edge therapies to deliver dramatic clinical efficacy for the treatment of neurological diseases. We are driven by an unrelenting passion to solve difficult challenges, and a belief that meaningful discovery is borne of curiosity, collaboration, and compassion. Founded by proven industry leaders with a commitment to positively impacting the lives of people with neurological diseases, SwanBio merges clinical, scientific and drug commercialization expertise.
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.