| Name | Title | Contact Details |
|---|---|---|
Adrian Schreyer |
Chief Technology Officer | Profile |
Celladon is a privately held biotechnology company founded with the goal of developing molecular therapies for cardiovascular diseases. Breakthroughs in the basic understanding of the cardiovascular networks combined with powerful new technologies have provided the foundation for new, rational, and technologically sophisticated approaches to cardiovascular treatments. Our first product candidate is designed to target the key enzyme deficiency in advanced heart failure which regulates calcium cycling and contractility in heart muscle cells.
Makindus is a privately-held, specialty pharmaceutical development company focused on ophthalmology and rare diseases. The Company`s lead product candidate is MI-100, a novel ophthalmic formulation of a legacy compound being developed for Stargardt disease, a rare form of juvenile macular degeneration that occurs in approximately 1 in 10,000 individuals. Makindus has met with the FDA and EMA, and is in the final stages of planning a Phase 3 clinical trial program. The Company is seeking partners and additional sources of funding and collaboration for the development program of MI-100 for Stargardt disease.
Asklepios BioPharmaceutical, Inc. (AskBio) is a leading clinical-stage adeno-associated virus (AAV) gene therapy company dedicated to improving the lives of patients with rare diseases and other genetic disorders.
Blue Sky Biotech Inc is a Worcester, MA-based company 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.