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We are a biotechnology company creating a new class of targeted gene therapies for debilitating and life-threatening genetic disorders in both central nervous system (CNS) and non-CNS indications. Current gene therapy approaches have shown dramatic efficacy in several rare diseases but are hindered by imprecise targeting. The inability to selectively transduce specific cells and tissues effectively drives administration of higher doses and resulting safety liabilities. We are addressing these concerns with our proprietary adeno-associated virus (AAV) engineering platform that generates capsids optimized to target specific tissues and cells in the disease organ while limiting transduction of tissues and cells not relevant to the target disease. Through our next-generation AAV platform combined with cargo development and state-of-the-art manufacturing, we are tackling monogenetic and sporadic CNS and non-CNS disorders that have previously been challenging to address.
Innopsys is a Sunnyvale, CA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Lumos Diagnostics delivers custom diagnostic solutions by combining deep market insight with existing platform technologies, assay development capability and regulated manufacturing experience.
Trellis Bioscience is a leader in identifying rare protective antibodies by screening human blood cells.
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.