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EduQuest is a Clarksburg, MD-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Arisaph Pharmaceuticals is a Boston, MA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
We are a biotechnology leader that discovers, develops and delivers innovative therapies to improve the lives of patients with neurodegenerative diseases, hematologic conditions and autoimmune diseases. Patients worldwide benefit every day from our medicines for multiple sclerosis (MS) and hemophilia. Founded in 1978, we are one of the world’s oldest independent biotechnology companies. Our development pipeline is focused on areas of high unmet medical need, as we pursue new therapies for patients suffering from diseases with few or no treatment options. These include programs for secondary progressive MS, Alzheimer’s Disease, spinal muscular atrophy, lupus and amyotrophic lateral sclerosis (ALS), amongst others. With more than 7,500 people worldwide, we are truly a global organization, headquartered in Cambridge, Massachusetts, which is also home to our research operations. Our international headquarters are based in Zug, Switzerland and we have world-class manufacturing facilities in North Carolina and Denmark. We offer therapies globally through direct affiliate presence in 30 countries and a network of distribution partners in over 50 additional countries.
At AXON, we simplify complex information to improve outcomes in healthcare, bringing together the right people with the right expertise to provide our clients with integrated, multichannel communications solutions. As an agency, we are passionate about healthcare communications and combine a personal touch with professionalism.
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.