| Name | Title | Contact Details |
|---|
Elan is a biotechnology company, headquartered in Ireland, committed to making a difference in the lives of patients and their families by dedicating itself to bringing innovations in science to fill significant unmet medical needs that continue to exist around the world.
Genmab is a leading international biotechnology company that aims to improve the lives of patients by creating and developing innovative antibody products. The company was founded in Copenhagen, Denmark in 1999. Genmab`s ordinary shares are publicly traded on Nasdaq Copenhagen and American Depositary Shares under its ADR Program are listed in the United States on the Nasdaq Global Select Market. Genmab is developing a pipeline of antibody therapeutics with eighteen products in clinical development, including two marketed products, DARZALEX® (daratumumab) and Arzerra® (ofatumumab), and approximately 20 in-house and partnered pre-clinical programs. Our pipeline currently includes naked antibodies, Antibody Drug Conjugates (ADCs), bispecific antibodies created from our DuoBody® technology platform, and antibodies created with our HexaBody® technology.
Friendship Health and Rehab Center is a Roanoke, VA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Constellation Pharmaceuticals is a clinical-stage biopharmaceutical company using its expertise in epigenetics to discover and develop novel therapeutics that address serious unmet medical needs in patients with cancers associated with abnormal gene expression. Our integrated epigenetics platform enables us to validate targets and generate small molecules against these targets that selectively modulate gene expression in tumor and immune cells to drive anti-tumor activity. We are able to target a broad variety of epigenetic regulators using our platform and have generated development candidates acting against distinct classes of those regulators.
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.