AI News, Pioneering digital collaborations
- On Tuesday, June 5, 2018
- By Read More
Pioneering digital collaborations
MIT professors and MacArthur Fellows Regina Barzilay and Dina Katabi recently gathered leaders in technology, biotech, and regulatory agencies for a summit to inspire widespread adoption of artificial intelligence and digital technologies in health care. MIT is surrounded by pharmaceutical companies, but until now there has been sparse connection between AI research at MIT and research on drug discovery.
Less than a year ago, they started a collaboration with pharmaceutical companies and quickly recognized a wealth of new research questions and an opportunity to transform the process of drug design and manufacturing.
Among them, he said, “150 are data scientists — and that’s not enough.” He ended his keynote with: “I know that together we can totally reimagine medicine.” Academic researchers presented cutting-edge work and highlighted benefits for clinical trials, which test the safety and efficacy of a new drug.
“You hear talk of Big Pharma getting out of Alzheimer’s because the failure rate in clinical trials have led them to see it as a “black hole.” But if you have more refined analytics that might provide some hope to investors and might attract them to invest.” AI for better results Other presentations delved into a wide range of improvements enabled by digital technologies.
He said it’s time to draw computationally on the millions of known reactions in databases only partially explored — such as articles in chemical, medical, or biological journals and in private repositories.
David Sontag, an assistant professor in the Department of Electrical Engineering and Computer Science, said he wants to see data from claims, clinical trials, disease registries and more used by machine learning for population-level understanding of disease progression.
“Maybe next year, I can come back and say we have highly effective treatments for this disease.” Shaping the future During an afternoon panel, MIT President Emerita Susan Hockfield, a professor of neuroscience in the MIT Department of Brain and Cognitive Sciences, asked: “If we’re lucky, looking forward, how will the FDA onboard digital and machine learning devices?” “Things have to change, but the fundamental that shouldn’t change is that you have to validate that your technology has human benefit and the benefits outweigh the risk for the intended uses,” said Robert Califf, the vice chancellor for health data science at Duke University and former FDA commissioner.
- On Monday, September 23, 2019
11. Introduction to Machine Learning
MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: Instructor: Eric Grimson ..
MIT Intelligence Quest Launch: Artificial Intelligence, Artificial Stupidity, and Financial Markets
Andrew W. Lo, director of the MIT Laboratory for Financial Engineering and the Charles E. and Susan T. Harris Professor at MIT, describes his research on ...
Andrew Ng - The State of Artificial Intelligence
Professor Andrew Ng is the former chief scientist at Baidu, where he led the company's Artificial Intelligence Group. He is an adjunct professor at Stanford ...
Song Han's PhD Defense. June 1, 2017 @Stanford
Song Han received the Ph.D. degree from Stanford University advised by Prof. Bill Dally. His research focuses on energy-efficient deep learning, at the ...
Reverse Engineering the Mind - Prof. James DiCarlo, MIT Department of Brain and Cognitive Sciences
Prof. James DiCarlo Department Head and Peter de Florez Professor of Neuroscience MIT Department of Brain and Cognitive Sciences Investigator, McGovern ...
MIT Intelligence Quest Launch: Teaching Machines to See and Hear
Antonio Torralba, MIT director of the MIT-IBM Watson AI Lab and professor of electrical engineering and computer science, describes research in teaching ...
MIT Intelligence Quest Launch: MIT–IBM Watson AI Lab
Sophie V. Vandebroek, chief operating officer at IBM Research, gives an update on the research activities of the MIT-IBM Watson AI Lab at the launch event for ...
RI Seminar : Pieter Abbeel : Machine Learning and Optimization for Robotics
Pieter Abbeel Assistant Professor, Department of Electrical Engineering and Computer Science, UC Berkeley October 18, 2013 Abstract Robots are typically far ...
Quantum Machine Learning
A special lecture entitled " Quantum Machine Learning " by Seth Lloyd from the Massachusetts Institute of Technology, Cambridge, USA.
MIT Intelligence Quest Launch: How AI Enables the Home to Monitor Our Physical and Mental Health
Dina Katabi, the Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science at MIT, describes her research on artificial intelligence and ...