| Name | Title | Contact Details |
|---|---|---|
Michael Olszowy |
Chief Technology Officer | Profile |
Osage Bio Energy is a Glen Allen, VA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
TissueVision Inc. (TVI) is a multi-disciplinary life sciences company offering 3D tissue imaging and analysis solutions for the research market. Our powerful Serial Two-Photon Plus (STP²) platform features stunning high-resolution multispectral datasets and analysis pipelines that create reliable 3D tissue models. The indexed histological sections produced during the STP² process can be further investigated with secondary analyses that run the gamut from standard histological stains to advanced spatial genomics. The final result is rich, multiplexed 3D models that deliver actionable and quantitative results. TVI provides project design, GLP-like documentation, including full protocol and report generation, and quality control review measures of all study-related materials. TVI is a solution provider to help answer research questions in a variety of therapeutic areas, including neuroscience, cancer, neurodegeneration, ophthalmology, and dermatology.
So—MAT—us is derived from the Latin word `Somata`, the plural form of `Soma`, which are the cells of the body—free of germ cells. We take Somatus to mean “our healthy bodies”.
TransMolecular, Inc. is a Cambridge, 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.