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Recent innovations in semiconductor technology and biochemistry have brought about opportunities for realizing the long sought-after dream of personalized care. Periodic clinical-quality readings of biomarkers and vital signs provide the data needed to build a digital twin of one’s biological profile based on an AI-generated model. The digital twin will be a powerful tool for prevention, diagnosis, prognosis as well as therapeutic plans. The “Waves, Bits, and Molecules”” lab at MIT envisions transformational improvements in healthcare and life quality through innovations in advanced technologies at the intersection of semiconductor technology, biochemistry, and machine learning. In this talk, we review innovative semiconductor technologies such as electrochemical, Ultrasonic, photoacoustic, RF, and magnetic sensors and nanoactuators, which can transform the future of personalized diagnostics and treatments.
Bryan Bryson Assistant Professor of Biological Engineering
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?
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John Williams Professor, Civil and Environmental Engineering
In a year marked by rapid technological change, global market shifts, and urgent climate challenges, MIT serves as a hub for collaborative thinking and meaningful dialogue across sectors. This November, join leading experts at MIT’s flagship event to explore breakthroughs in AI, energy, life sciences, supply chains, space, and more through keynotes, technical sessions, startup showcases, and dynamic discussions.