In this talk, Mark Bathe presents cutting-edge nanofabrication strategies using DNA to create powerful immunotherapies, molecular databases, and quantum devices. From DNA-based virus-like particles to programmable genomic storage and chip-scale quantum emitters, his work demonstrates how molecular engineering and nanotechnology are transforming medicine, information science, and industrial innovation worldwide.
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Principal Investigator Jing Kong
In this talk, Bryan Moser of the MIT System Design and Management at the Massachusetts Institute of Technology explores how organizations—particularly in Japan—can evolve from experience-driven decision-making to model-based transformation (MBX). Drawing on decades of research and field experience, he explains why traditional R&D and management approaches are under pressure from globalization and rapid technological change, and how interactive, computational models can strengthen portfolio decisions, improve collaboration, and accelerate innovation.
Medicine presents a particular problem for creating artificial intelligence (AI), because the issues and tasks involved are surprisingly subjective. Valid and useful AI requires not only reliable, unbiased, and extensive data, but also objective definitions and intentions. Assistance is most needed in day-to-day complex decision-making that requires data synthesis and integration, tasks we now approach with clinical intuition. This process is generally accepted as representing the ‘art’ of medicine despite being riddled with cognitive biases and often based on large information gaps. Resolving the subjectivity of medicine with the objectivity required for digitization—and the secondary creation of AI—first involves resolution of a number of questions: What do we want to do? What do we need to do? What can we do?