AI in Healthcare
This course covers foundations and applications of data science approaches to predictive modeling in medicine.
This course covers foundations and applications of data science approaches to predictive modeling in medicine.
This workshop introduces state-of-the-art methods for developing testing and evaluation plans for AI-driven systems and addresses novel challenges these systems present.
Participants in this program will engage in a variety of interactive exercises to get hands-on experience in the process of transforming graph-based data into insight for making better decisions.
The overall theme and desired outcome for attendees taking this executive course is the ability to make decisions with impact. Framing complex problems in systems terms allows decision-makers to identify key information and capability nodes, as well as define tools for intervention and change. As systems are baselined, conceptualized, and designed, these intervention levers are points of impact for systems thinkers and engineers. Through the communication of system concepts, these ideas will be illustrated with key emerging complex problems including remote healthcare.
This course presents fundamentals of blockchain technologies, cryptocurrencies, NFT (non-fungible tokens), decentralized identity, their vulnerabilities, innovations and policy issues.
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