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Right from the beginning, which is now more than fifty years ago, Bruker has been driven by a single idea: to provide the best technological solution for each analytical task` Today, worldwide, more than 6,500 employees in over 90 locations on all continents are focusing their efforts on this permanent challenge` Bruker systems cover a broad spectrum of applications in all fields of research and development and are used in all industrial production processes for the purpose of ensuring quality and process reliability` Bruker continues to build upon its extensive range of products and solutions, expand its broad base of installed systems and maintain a strong reputation amongst its customers` As one of the world's leading analytical instrumentation companies, Bruker remains focused on developing state-of-the-art technologies and innovative solutions for today’s ever complex analytical questions` Bruker - Innovation with Integrity`
SeLux Diagnostics is developing a Next Generation Phenotyping (NGP) platform that promises to transform infectious disease patient treatment by dramatically increasing the speed and accuracy with which targeted, personalized antibiotic therapies can be prescribed. Earlier, better-informed treatment decisions will save lives, improve patient outcomes, decrease hospital lengths of stay and hospital acquired infections, and help combat the global antibiotic resistance epidemic.
Imara Inc. is dedicated to developing novel therapeutics for people living with sickle cell disease and other hemoglobinopathies. Sickle cell disease is a rare, genetic blood disease that causes red blood cells to sickle and become damaged, activating immune cells and blocking blood flow in capillaries, injuring many organs and causing daily pain. Imara is developing IMR-687, a highly selective, potent small molecule inhibitor of phosphodiesterase-9 (PDE9i), to treat patients with sickle cell disease. Imara was launched following an 18-month scientific collaboration between orphan drug accelerator Cydan Development and H. Lundbeck A/S.
The mission of REVOLUTION Medicines is redesigning evolution`s products to treat serious diseases. The company discovers and develops new drugs by reconfiguring natural substances that are inherently rich with biological function as a result of natural selection. The company`s first drug candidates are innovative small molecules that exploit and improve upon the properties of amphotericin B, a powerful, broad-spectrum antifungal compound found in nature that has avoided generating significant drug resistance in 50 years of clinical use. Headquartered in Redwood City, Calif. at the intersection of Silicon Valley and the birthplace of biotechnology, REVOLUTION Medicines is a private company financed by top-tier investor Third Rock Ventures.
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.