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The Rare Cancer Research Foundation (RCRF) is dedicated to curing rare cancers through strategic investments and innovative collaborations that catalyze effective research and accelerate deployment of promising therapies. While rare cancers accounted for just over 25 percent of all new cancer diagnoses in 2013, they comprised more than 40 percent of all cancer deaths. RCRF`s goal is to develop research infrastructure for each rare cancer.
Cue Biopharma™ is an innovative immunotherapy company developing a novel, proprietary class of biologics engineered to selectively modulate the human immune system to treat a broad range of cancers and autoimmune disorders. We design biologics to engage and modulate the activity of disease-associated T cells in the patient`s body, offering significant therapeutic advantages while potentially minimizing or eliminating unwanted side effects. We believe our biologics allow us to target antigen-specific T cell populations in a variety of indications using a simple peptide exchange within previously-validated drug frameworks developed from the Cue Biologics Platform™. This flexibility could truncate the drug selection and development process, moving effective therapeutics from discovery to clinical validation more rapidly and cost efficiently than current industry standard timelines and costs. Headquartered in Kendall Square, Cambridge, MA, we are led by an experienced management team and scientific and clinical advisory board (SAB/CAB) with deep expertise in the design and clinical development of protein biologics, immunology and immuno-oncology.
Family Dental is a Haverhill, MA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Medarray is a Ann Arbor, MI-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.