The MIT-Takeda Program, a collaboration between MIT’s College of Engineering and Takeda Prescribed drugs Firm, fuels the event and utility of synthetic intelligence capabilities to learn human well being and drug growth. A part of the Abdul Latif Jameel Clinic for Machine Studying in Well being, this system coalesces disparate disciplines, merges concept and sensible implementation, combines algorithm and {hardware} improvements, and creates multidimensional collaborations between academia and business.
With the goal of constructing a group devoted to the following era of AI and system-level breakthroughs, the MIT-Takeda Program can be creating instructional alternatives. Yearly Takeda funds fellowships to help graduate college students pursuing analysis associated to well being and AI. This 12 months’s Takeda Fellows, described under, are engaged on initiatives starting from digital well being report programs and robotic management to pandemic preparedness and traumatic mind accidents.
Camille C. Farruggio
Farruggio is a PhD candidate within the Division of Supplies 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 therapies and remedy current expertise bottlenecks within the manufacturing of cell therapies.
Wenhao Gao
Gao is a PhD candidate within the Division 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 Methods Biology Program whose analysis pursuits lie on the intersection of biology, analytical chemistry, and machine studying. Particularly, Goldman makes use of mass spectrometry information and generative deep studying to elucidate the constructions of unknown molecules in organic samples, with essential 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 Division of Electrical Engineering and Pc Science. Her analysis seeks to deal with 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 Division of Electrical Engineering and Pc 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 issues. 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 Methods 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 deal with amyotrophic lateral sclerosis.
Yang Liu
Liu is a PhD candidate within the Division of Electrical Engineering and Pc Science whose present work focuses on AI for well being information and computational imaging/pictures, which lies on the confluence of pc science, optics, biomedical/neuroscience, {hardware} design, and software program design. Liu’s Takeda Fellowship will help his present analysis, a collaborative venture that goals to deal with the related challenges of delivering well being care and sustaining health-care information in resource-constrained settings.
Luke Murray
Murray is a PhD candidate within the Division of Electrical Engineering and Pc Science whose work is concentrated on digital well being report (EHR) programs, which have revolutionized well being care and maintain super potential for scientific prognosis, operations, and analysis, but in addition endure from critical shortcomings. By his Takeda Fellowship, Murray will sort out 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 Well being Sciences and Expertise whose analysis seeks to advance our data of traumatic mind accidents (TBIs). Olchanyi’s analysis, supported by a Takeda Fellowship, will apply deep studying to check in vivo imaging-based TBI biomarkers, with a specific deal with subcortical white matter lesions in acute TBIs leading to issues of consciousness.
Krista Pullen
Pullen is a PhD candidate within the Division of Organic Engineering whose analysis is located on the intersection of vaccine immunology and machine studying. With the help 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 Well being Sciences and Expertise whose analysis explores the underlying physics of optical imaging, with the purpose of increasing its capability to deal with essential medical challenges. As a Takeda Fellow, Thomas will advance her work to create revolutionary instruments to raised perceive and deal with coronary atherosclerosis, a illness affecting over 18 million folks in the USA alone.
A. Michael West Jr.
West is a PhD candidate within the Division of Mechanical Engineering whose analysis integrates robotics, AI, and well being care to enhance robotic rehabilitation and advance human-robot interactions. Particularly, 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 capability to govern objects and instruments.
