| Name | Title | Contact Details |
|---|
Life Biosciences was co-founded in 2017 by David Sinclair, PhD, a professor in the Department of Genetics at Harvard Medical School, and Tristan Edwards, who developed its innovative structure as Chapter Two in his life, after a highly successful career as a global institutional investor, working across all asset classes. The company`s novel Daughter company business model creates the robust research ecosystem required to forge industry leadership through two investment strategies. The first is to establish new companies, thereby extending the research of visionary scientists around the world. Secondly, Life Biosciences invests in other groundbreaking firms, providing them with the resources to maximize their potential. In addition to Lua, there are six Daughter companies working independently and together within the Life Biosciences research environment. The company provides Daughter companies with the resources required to maximize human potential, including Lua`s AI-driven data and communications platform, experienced management, drug development experience, and a 25,000 square foot, state-of-the-art vivarium, robotics and drug screening facility in Cambridge, Mass, augmented by laboratories and offices on four continents. Co-founded in 2017 by David Sinclair, PhD, AO, and Tristan Edwards, Life Biosciences is the first and largest biotech company addressing the eight pathways of age-related decline (ARD) in totality. It has established Daughter companies around the world, led by a Dream Team of respected scientists, to independently and collaboratively attack these pathways through pioneering research and product development. The company provides Daughter companies with resources to maximize human potential, including Lua`s AI-driven data and communications platform, drug development experience, and a 25,000 square foot, state-of-the-art vivarium, robotics and drug screening facility. Life Biosciences seeks to increase healthspans for everyone, including companion animals, by addressing the systemic breakdown of the body, rather than as a series of isolated symptoms and conditions.
Appleton Area Health Services is a Appleton, MN-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Avalyn is a biopharma company committed to developing improved therapies for the treatment of idiopathic pulmonary fibrosis (IPF) and other severe respiratory diseases. Our lead asset is inhaled pirfenidone (AP01) for the treatment of IPF. With offices in Seattle and San Diego, Avalyn`s experienced clinical and inhaled product development team is rapidly advancing AP01 for the treatment of IPF and additional pipeline candidates for IPF and other severe respiratory diseases.
The Coding Source LLC is one of the leading companies in the Healthcare, Pharmaceuticals, and Biotech sector.
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.