| Name | Title | Contact Details |
|---|---|---|
Donna Rill |
Chief Technology Officer | Profile |
We firmly believe in the integration of science research and traditional wisdom as the way that nutritional and herbal supplements will reach their exciting potential. Founded in 1990 by a pioneering physician committed to science-based alternative health care, Doctor’s Best offers only the most important nutritional supplements. Careful research and precise formula development keeps us at the leading edge of quality, effectiveness, and innovation. Containing the finest quality raw materials from around the world, Doctor’s Best supplements embody the best that traditional knowledge and current scientific research have to offer in the field of therapeutic nutrition. Countless hours have been spent analyzing scientific literature to provide sound alternatives to the proliferation of questionable supplements in the marketplace. Each of our products is accompanied by an annotated ""Fact Sheet"" with detailed background information, structure-function statements, and scientific references that substantiate these statements. All structure-function statements have been filed with FDA in accordance with DSHEA regulations.
Sana Biotechnology is focused on utilizing engineered cells as medicines for patients. The ability to modify genes and use cells as medicines will be one of the most important advances in healthcare over the next several decades. Sana is building differentiated capabilities across the spectrum of cell and gene therapy. Three aspirations drive Sana as we look to discover treatments for patients with poor outcomes or currently untreatable diseases. The first is the ability to repair and control the genes in any cell in the body. We are advancing novel delivery technologies with the goal of being able to deliver any payload to any cell in a specific, predictable, and repeatable manner, paving the way for next-generation in vivo gene therapy. Next is the ability to differentiate pluripotent stem cells ex vivo into immune-cloaked functional cells with the aspiration of being able to replace any missing or damaged cells in the body. Last is a belief we can enable broader access to our therapies through focusing on scalable manufacturing solutions, the cost of manufacturing, and aligning with key stakeholders. Sana launched in early 2019 and has approximately two hundred employees in Seattle, Cambridge, and South San Francisco. In 2019, we raised capital to enable our broad vision, began to acquire technology and establish an IP estate across cell and gene therapy, and made significant progress validating our cell and gene therapy platforms. Growing from this foundation, we intend to push forward our platforms and product pipeline in 2020 and beyond.
Antibody Solutions is a Sunnyvale, CA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
LGC Group, formerly the Laboratory of the Government Chemist, is an international life sciences measurement and testing company, which also provides the role and duties of the UK Government Chemist, a statutory role and adviser to the government.
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.