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ProtoKinetix, Inc. is a molecular biotechnology company that has developed and patented a family of hyper stable, potent glycopeptides (AAGP™) that dramatically enhance the therapeutic results and reduce the cost of stem cell medicine. Due to the anti-inflammatory effect of AAGP™ molecules, the Company is currently targeting the direct treatment of diseases that have a major inflammatory component.
CK Life Sciences Int'l. Inc is a Kirkland, WA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Tetra Bio-Pharma is a multi subsidiary publicly traded company engaged in the development of Bio Pharmaceuticals and Natural Health Products containing Cannabis and other medicinal plant based elements.
NMD Pharma A/S is a clinical-stage biotech company developing a first-in-class platform of small molecule therapies selectively targeting the skeletal muscle chloride ion channel (ClC-1) for the treatment of severe neuromuscular disorders. The Company was incorporated as a spin-off from Aarhus University, Denmark in 2015 and was founded on more than 15 years of muscle physiology research with a focus on regulation of skeletal muscle excitability under physical activity. NMD Pharma has built a world-leading muscle electrophysiology platform leveraging the in-depth know-how of muscle physiology and muscular disorders, small molecule modulators, enabling technologies and tools as well as in vivo pharmacology models for discovering and developing proprietary modulators of neuromuscular function. NMD Pharma received initial seed financing in 2016 and has since raised ~€155 million from investors including Novo Holdings, Lundbeckfonden BioCapital, INKEF Capital, Roche Venture Fund, and Jeito Capital.
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.