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At AviadoBio our mission is to transform the lives of people living with neurodegenerative disorders by developing and delivering transformative gene therapies for diseases including frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS). The Company`s technology is based on pioneering research from King`s College London and the UK Dementia Research Institute.
In 2013, co-founders Philip Ross and Sophia Wang formed MycoWorks, a San Francisco-based biomaterials company dedicated to bringing new mycelium-grown materials to the world. MycoWorks` patented Fine Mycelium™ technology, an advanced manufacturing platform and breakthrough in materials science, engineers mycelium during growth to form proprietary, interlocking cellular structures for unparalleled beauty, handfeel, strength and durability. The company`s flagship material- Reishi™ - is a new category of material for the world`s best luxury brands.
We are a team of inspired individuals, driven by love of science, commitment to collaboration, and relentless pursuit of excellence. Lumen`s technology allows it to create clever new high-value products in spirulina (Arthrospira platens), a type of blue-green algae.
XtalPi is a pharmaceutical technology company that is reinventing the industry’s approach to drug research and development with its Intelligent Digital Drug Discovery and Development (ID4) platform.
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.