Dr. McKee is the author of Hospital City, Health Care Nation: Race, Capital, and the Costs of American Health Care. He is an expert on health care policy, Medicare, Medicaid, urban policy and industrial policy. His research focuses on how federal policy, especially in the executive branch, plays out at the local level in American communities. CME credits are being offered. Advanced registration is required. Click here to register.
Abstract: Drug Development for complex diseases has been costly and challenging. Drug development via advanced machine learning approaches might change the game by reducing the exponentially large search space of chemicals and targets to a smaller pool of promising candidates. In this talk, we will discuss how machine learning innovates the drug development process with examples from Dr. Kim’s recent studies. Our focus is on translational research for identifying, defining, and solving real-world challenges in drug development. We will briefly discuss various applications from molecule property prediction, drug repurposing, to clinical regimen optimization, with methodologies including knowledge graph representation, transfer learning, temporal clustering, reinforcement learning, and counterfactual inference. We will conclude the talk with things to consider when doing translational research for drug development using machine learning. Click here to join via Zoom.
Medical device consultants are experts familiar with all requirements of medical device development, approval, and manufacturing, guiding clients from concept to market in the most efficient manner possible. Experienced consultants can assist with each stage of the process. This presentation will thoroughly explain 1) the importance of choosing the right stakeholders to support you in development of your product, and 2) the medical device development process. Click here to register.