The MIT-Takeda Program, a collaboration between MIT’s School of Engineering and Takeda Pharmaceuticals Company, fuels the event and software of synthetic intelligence capabilities to learn human well being and drug growth. Part of the Abdul Latif Jameel Clinic for Machine Learning in Health, this system coalesces disparate disciplines, merges principle and sensible implementation, combines algorithm and {hardware} improvements, and creates multidimensional collaborations between academia and trade.
With the purpose of constructing a neighborhood devoted to the following technology of AI and system-level breakthroughs, the MIT-Takeda Program can be creating instructional alternatives. Every yr Takeda funds fellowships to assist graduate college students pursuing analysis associated to well being and AI. This yr’s Takeda Fellows, described beneath, are engaged on tasks starting from digital well being report techniques and robotic management to pandemic preparedness and traumatic mind accidents.
Camille C. Farruggio
Farruggio is a PhD candidate within the Department of Materials Science and Engineering whose analysis leverages AI and machine studying, together with regression modeling, to assist understand the promise of cells-as-medicine purposes. As a Takeda Fellow, she seeks to develop a holistic understanding of the tradition situations and cell attributes that modulate and predict cell efficacy as therapeutic remedies and remedy current know-how bottlenecks within the manufacturing of cell therapies.
Wenhao Gao
Gao is a PhD candidate within the Department of Chemical Engineering who goals to speed up organic and chemical discovery processes. His work particularly focuses on AI for well being sciences and cutting-edge purposes of machine studying for molecular discovery and drug growth. Gao’s analysis, supported by a Takeda Fellowship, seeks to create a extra environment friendly course of, utilizing AI algorithms to advance de novo design strategies and natural synthesis for accelerated drug growth.
Samuel Goldman
Goldman is a PhD candidate within the Computational and Systems Biology Program whose analysis pursuits lie on the intersection of biology, analytical chemistry, and machine studying. Specifically, Goldman makes use of mass spectrometry information and generative deep studying to elucidate the buildings of unknown molecules in organic samples, with vital implications for drug discovery. As a Takeda Fellow, he’ll construct new computational instruments to characterize and measure unknown small molecule metabolites in a mobile combination.
Sarah Gurev
Gurev is a PhD candidate within the Department of Electrical Engineering and Computer Science. Her analysis seeks to handle the challenges of pandemic preparedness and the prediction of viral immune evasion. As a Takeda Fellow, Gurev will advance her work on the intersection of computational approaches and experimental screening to develop new fashions of antibody escape.
R’mani Haulcy
Haulcy is a PhD candidate within the Department of Electrical Engineering and Computer Science whose work bridges the fields of AI and well being to create cutting-edge AI-based assessments of cognitive impairment in speech and language problems. Supported by a Takeda Fellowship, Haulcy will develop new instruments for speech processing targeted on the measurement of health-related speech biomarkers, particularly analyzing the speech of topics with frontotemporal dementia and first progressive aphasia.
Velina Kozareva
Kozareva is a PhD candidate within the Computational and Systems Biology Program whose analysis focuses on creating machine studying strategies to combine multi-omic information in heterogeneous illnesses. As a Takeda Fellow, Kozareva goals to develop computational strategies to concurrently determine subtypes of heterogeneous illnesses and the causal mechanisms that drive every subtype, with an preliminary concentrate on amyotrophic lateral sclerosis.
Yang Liu
Liu is a PhD candidate within the Department of Electrical Engineering and Computer Science whose present work focuses on AI for well being data and computational imaging/pictures, which lies on the confluence of laptop science, optics, biomedical/neuroscience, {hardware} design, and software program design. Liu’s Takeda Fellowship will assist his present analysis, a collaborative challenge that goals to handle the linked challenges of delivering well being care and sustaining health-care data in resource-constrained settings.
Luke Murray
Murray is a PhD candidate within the Department of Electrical Engineering and Computer Science whose work is concentrated on digital well being report (EHR) techniques, which have revolutionized well being care and maintain super potential for scientific analysis, operations, and analysis, but in addition endure from critical shortcomings. Through his Takeda Fellowship, Murray will deal with a main EHR limitation: disparate interfaces that fragment the scientific workflow into time-consuming, error-prone processes that require clinicians to spend extra time interacting with EHRs than with sufferers.
Mark Olchanyi
Olchanyi is a PhD candidate within the Harvard-MIT Program in Health Sciences and Technology whose analysis seeks to advance our information of traumatic mind accidents (TBIs). Olchanyi’s analysis, supported by a Takeda Fellowship, will apply deep studying to review in vivo imaging-based TBI biomarkers, with a specific concentrate on subcortical white matter lesions in acute TBIs leading to problems of consciousness.
Krista Pullen
Pullen is a PhD candidate within the Department of Biological Engineering whose analysis is located on the intersection of vaccine immunology and machine studying. With the assist of a Takeda Fellowship, Pullen will develop and validate the applying of cross-species modeling within the context of vaccine immunology to allow the prediction of human efficacy from preclinical information.
Georgia Thomas
Thomas is a PhD candidate within the Harvard-MIT Program in Health Sciences and Technology whose analysis explores the underlying physics of optical imaging, with the purpose of increasing its capability to handle vital medical challenges. As a Takeda Fellow, Thomas will advance her work to create revolutionary instruments to higher perceive and deal with coronary atherosclerosis, a illness affecting over 18 million individuals within the United States alone.
A. Michael West Jr.
West is a PhD candidate within the Department of Mechanical Engineering whose analysis integrates robotics, AI, and well being care to enhance robotic rehabilitation and advance human-robot interactions. Specifically, his work explores the human neuromotor management of motion, with the purpose of enhancing robotic management and efficiency. As a Takeda Fellow, West will examine the performance of the human hand and its skill to govern objects and instruments.