| Name | Title | Contact Details |
|---|---|---|
Alan Smith |
Chief Technology Officer | Profile |
Lantern Pharma, Inc. is a clinical stage pharmaceutical company developing new classes of precision cancer drugs with novel mechanisms of action, and also rescuing or revitalizing abandoned or failed cancer drugs using machine learning techniques, genomic data and precision oncology trials.
Plexium is the premier, next-generation Targeted Protein Degradation (TPD) company seeking to discover a wide range of monovalent target protein degraders that address the limitations of heterobifunctional degraders and cereblon IMiDs. The company is powered by its proprietary drug discovery platform designed to identify novel small molecules that induce selective degradation of drug target proteins through E3 ligase mediated proteasomal degradation. From molecular glues to monovalent degraders, Plexium is advancing a pipeline of novel targeted protein degraders for the treatment of cancer, neurodegeneration, and other diseases. Due to its expertise in TPD, Plexium has entered into strategic collaborations with Amgen and AbbVie to discover and develop a wide range of new therapies from cancer to neurological diseases. Supported by high quality investors, Plexium is well positioned to transform medicine.
Discover Echo redefines traditional microscope design. Experience our award-winning Automated, Fluorescence, and Transmitted Light Microscopes.
ChemImage is a Pittsburgh, PA-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.