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Daiichi Sankyo, Inc. headquartered in Parsippany, New Jersey, is the U.S. subsidiary of Daiichi Sankyo, Co., Ltd. and a member of the Daiichi Sankyo Group. Global clinical development and regulatory activities are headquartered at Daiichi Sankyo Pharma Development in Edison, New Jersey. Our team of more than 1,400 U.S. employees is dedicated to the creation and supply of innovative pharmaceutical products to address diversified, unmet medical needs. We currently market therapies in hypertension, thrombotic disorders, stroke risk reduction, dyslipidemia, diabetes, acute coronary syndrome, opioid-induced constipation and metastatic melanoma. With over 100 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its 16,000 employees around the world draw upon a rich legacy of innovation and a robust pipeline of promising new medicines to help people. In addition to a strong portfolio of medicines for hypertension and thrombotic disorders, under the Group’s 2025 Vision to become a “Global Pharma Innovator with a Competitive Advantage in Oncology,” Daiichi Sankyo research and development is primarily focused on bringing forth novel therapies in oncology, including immuno-oncology, with additional focus on new horizon areas, such as pain management, neurodegenerative diseases, heart and kidney diseases, and other rare diseases. IMPORTANT NOTE: We are very pleased to announce the location of Daiichi Sankyo, Inc.’s new US headquarters where our Parsippany- and Edison-based teams will be co-located in a combined site in early to mid-2017. Our new headquarters will be in Basking Ridge, New Jersey at 211 Mt. Airy Road.
SOPHiA GENETICS combines deep expertise in life sciences and medical disciplines with mathematical capabilities in data computing. Our mission is to bring data analytics solutions to market, to support healthcare professionals by maximizing the power of Data-Driven Medicine. We achieve this mission through the global adoption of SOPHiA AI, which is built using techniques such as statistical inference, pattern recognition and machine learning. This enables SOPHiA to provide equal benefits to all users, unite experts in a gold standard health tech platform, and motivate expert knowledge sharing for a sustainable impact on future patients. We want to contribute to make the global healthcare system more sustainable. It is our strong belief that digital technologies are the key to unlocking the era of Data-Driven Medicine, where secure data pooling and knowledge sharing will be extremely valuable for patients. By helping healthcare professionals leverage their expertise and work together as a community, patients all over the world can receive equal access to better diagnoses and treatments. Combining the first two pillars of Data-Driven Medicine, Genomics and Radiomics, we can ensure that the data used to help patients today will also benefit the patients of tomorrow.
At Inipharm, we`re building on novel insights and applying our chemistry expertise to develop therapies for patients with liver disease. Inipharm`s lead program is focused on small-molecules to target the activity of HSD17B13, a highly validated, genetically defined target for multiple severe liver and related diseases.
Q-State Biosciences is a technology-derived medicines company based in Cambridge, MA, that combines advanced human cellular models, unique measurement engineering and AI / machine learning into a proprietary platform that enables novel discovery of optimized genetically targeted medicines for epilepsy, pain, and other diseases of the CNS.
NuProbe brings together cutting-edge innovations in molecular engineering with leading scientific expertise and management to take on one of the world`s greatest challenges — non-invasive early detection of rare genetic variants in patients. NuProbe will take a multi-platform approach to apply these breakthrough technology capabilities in precision medicine to cancer diagnostics, NIPT, and infectious disease screening, building on scientific findings licensed by Wyss Institute, Harvard University.