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Regado Biosciences, Inc., is a biopharmaceutical company focused on the discovery and development of novel, oligonucleotide-based actively controllable therapeutics. Our initial focus is on applications in the acute and sub-acute cardiovascular therapeutic area. The company's lead product candidate, REG1, is a two-component system consisting of pegnivacogin, an anticoagulant aptamer specifically targeting coagulation Factor IXa, and its complementary oligonucleotide active control agent, anivamersen. REG1 is currently being evaluated in the REGULATE-PCI trial, a worldwide Phase 3 trial enrolling 13,200 patients with acute coronary syndromes (ACS) undergoing percutaneous coronary intervention (PCI), a hospital-based procedure used to mechanically open or widen obstructed coronary arteries. Regado's actively controllable product candidates have the potential to improve patient outcomes and enhance the patient experience, provide direct therapeutic control to physicians and reduce overall treatment costs.
Founded in 2017, Unlearn.AI brings together a world-class team of experts across pharma, physics, machine learning, and business who share a vision of pioneering AI to eliminate trial and error in medicine. Unlearn is the only company creating TwinRCTsTM, which combine AI, prognostic digital twins, and novel statistical methods to run clinical trials requiring fewer patients in the control arm. Unlearn`s technology is used by leading global pharmaceutical companies, including Merck KGaA, Darmstadt, Germany, and has been published in conference abstracts and scientific journals, including Scientific Reports - Nature and The International Journal of Biostatistics. The European Medicines Agency qualifies Unlearn`s PROCOVA™ procedure, which provides the regulatory framework for the application of TwinRCTs to Phase 2 and 3 clinical trials.
Synsorb Biotech Inc. is a Calgary, AB-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Mérieux NutriSciences is a service company headquartered in Chicago.
BIOAGE has a diverse team of computational biologists and medical scientists with expertise in aging and translational research. We share the vision that a synergy of machine learning approaches, high throughput human omics data, and new experimental approaches will make it possible to discover therapies that address unmet medical needs in an aging population.