MIT-Takeda: AI and ML for Clinical Development and Disease Management

MIT Industrial Liaison Program

A four-part series on ML and AI for Drug Development, highlighting  MIT-Takeda joint projects, MIT faculty, Takeda solutions, and startups.

1 Main St

Session 2: AI + ML for Clinical Development and Disease ManagementAgenda:9:15 - 9:30am: Light breakfast9:30 -9:40am: Welcome and Introduction with Dr. John Chan9:40-10:10am: MIT-Takeda Project D828: Dr. Brian Anthony on “Machine learning for image-based liver phenotyping and drug discovery”10:10-10:40am: MIT-Takeda Project D864: Prof. Jim Glass and Dr. Brian Tracey on &quot;Automated analysis of speech and language deficits for frontotemporal dementia&quot;10:40 - 10:50am: Break and refreshments10:50 -11:20am: Dr. Dean Bottino on &quot;Integrating Drug Efficacy and Toxicity Modeling to Maximize Life in People with Chronic Myeloid Leukemia&quot;11:20 -11:35am: Anand Jain of Julia Computing on &quot;The Role of Computational Modeling in Future Clinical Trials&quot;11:35 -11:50am: Ashley Holmes of nQ Medical on &quot;User-device interaction as a complementary monitoring tool for disease management&quot;11:50am: Concluding remarks11:50 -12:30pm: Networking lunchSpeaker Bios:John Chan, PhD: Dr. Chan is head of the ShinrAI Center of Excellence for Artificial Intelligence and Machine Learning at Takeda, as well as a Visiting Scientist at the Broad Institute of MIT and Harvard. Previously, he served as Head of Data Strategy, Cell Therapy at Takeda, following positions at Syllable Life Sciences and Novartis focusing on AI, Informatics and Technology, and Innovation. Dr. Chan obtained his doctorate at the University of Pennsylvania and his BSc at Marlboro College.Brian Anthony, PhD: Dr. Anthony is Director of MIT’s Master of Engineering in Manufacturing Program and Co-Director of the Medical Electronic Device Realization Center. His work involves systems analysis and design and calling upon mechanical, electrical, and optical engineering, along with computer science and optimization, to create solutions. His teaching interests include the modeling of large-scale systems in a wide variety of decision-making domains and the development of optimization algorithms and software for analyzing and designing such systems.James Glass, PhD: Dr. Glass is a Senior Research Scientist with MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), where he leads the Spoken Language Systems Group. He is also a member of the Harvard University Program in Speech and Hearing Bioscience and Technology. Since obtaining his S.M. and Ph.D. degrees at MIT in Electrical Engineering and Computer Science, his research has focused on automatic speech recognition, unsupervised speech processing, and spoken language understanding using machine learning.Brian Tracey, PhD: Dr. Tracey is a Director of Statistics with Takeda, where he focuses on the use of wearable sensors in clinical trials as well as algorithm development. He also serves as a lecturer at Tufts University in Electrical and Computer Engineering. He received his PhD from the Massachusetts Institute of Technology and his BA from Kalamazoo College.Dean Bottino, PhD: Dr. Bottino serves as Senior Scientific Director of Clinical Translational Modeling &amp; Simulation Leader at Takeda, where he focuses on the use of computer modeling of biology to improve decision-making in drug discovery, development, and ultimately clinical practice. Dr. Bottino obtained his PhD at Tulane University in Mathematical Biology and did his postdoctoral research at University of Utah and UC Berkeley before entering the biotech industry.Anand Jain: Anand Jain is a research software engineer at Julia Computing. His work consists high performance modeling and simulation and developing methods for virtual population generation. His interests are in using scientific machine learning to improve our understanding of complex biological systems. Ashley Holmes, MS: Ashley Holmes is a Senior Data Scientist at nQ Medical. In her role she works closely with the clinical team to conduct research into how motor and cognitive dysfunction due to neurodegenerative conditions can be detected through studying interactions between the fingers and personal devices like phones and computers. Her background is in mathematics and industrial/system engineering, and she has worked previously in process improvement to improve patient safety at several local Boston hospitals as well as working on the research team at athenahealth.

Our {communityGuidelinesLink} describe the sort of content we prohibit on Eventbrite. If you suspect an event may be in violation, you can report it to us so we can investigate.

To report other categories of prohibited or illegal content, submit {link}

MIT-Takeda: AI and ML for Clinical Development and Disease Management

More events from MIT Industrial Liaison Program

Discover more events from MIT Industrial Liaison Program, from Business to other experiences you might love.

MIT-Takeda: AI and ML for Clinical Development and Disease Management

More events from MIT Industrial Liaison Program

Discover more events from MIT Industrial Liaison Program, from Business to other experiences you might love.

More Business events

Browse more Business events with different dates, prices, and formats to find your next great experience.