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Most patients who are prescribed blockbuster therapies today don`t respond to the treatment, costing the health care industry billions in wasted drugs while patients continue to suffer. Scipher`s platform identifies which drug will work based on the patient`s fundamental disease biology, and not based on symptoms, disease classification, or medical bias. A simple test predicts which drug he/she will respond to, ensuring that most optimal treatment is prescribed from day one. The molecular data generated by our tests is then used to fuel novel target discovery to address a clear unmet medical need in patients who do not respond to any existing therapy.
Isis Pharmaceuticals Inc is a Carlsbad, CA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Instrumentation Laboratories is a Bedford, MA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
New Economy Strategies is a Washington, DC-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Frontier Medicines is a pre-clinical stage biopharmaceutical company developing breakthrough medicines that redefine the course of debilitating diseases. According to the American Cancer Society, 1,762,000 new cancer cases and 607,000 deaths from cancer are expected to occur in the US in 2019. Our focus is developing treatments against important cancer-causing proteins that the biopharma industry hasn`t found a way to treat (or “drug”) with pharmaceutical interventions. After decades of research, this has become one of the most critical challenges in addressing human disease and advancing oncology therapy --central to the research at Frontier Medicines. Frontier Medicines is using chemoproteomics – an innovative approach to chemically interrogate proteins in living systems – to discover and pharmacologically target new binding pockets (or “hotspots”) on proteins, making them accessible to small-molecule drug discovery and development. The company`s proprietary chemoproteomics platform also integrates advanced computational approaches and machine learning to further accelerate the path to drug discovery.