The MIT-Takeda Program, a collaboration between MIT’s Faculty of Engineering and Takeda Prescribed drugs Firm, fuels the event and software 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 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 era of AI and system-level breakthroughs, the MIT-Takeda Program can be creating academic alternatives. Yearly Takeda funds fellowships to assist graduate college students pursuing analysis associated to well being and AI. This yr’s Takeda Fellows, described under, are engaged on initiatives starting from digital well being file methods 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 notice the promise of cells-as-medicine functions. As a Takeda Fellow, she seeks to develop a holistic understanding of the tradition circumstances and cell attributes that modulate and predict cell efficacy as therapeutic remedies and clear up present 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 functions 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 Techniques 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 buildings of unknown molecules in organic samples, with necessary 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 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 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 problems. Supported by a Takeda Fellowship, Haulcy will develop new instruments for speech processing centered 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 Techniques Biology Program whose analysis focuses on creating machine studying strategies to combine multi-omic information in heterogeneous ailments. As a Takeda Fellow, Kozareva goals to develop computational strategies to concurrently determine subtypes of heterogeneous ailments 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 Division of Electrical Engineering and Pc Science whose present work focuses on AI for well being data and computational imaging/images, which lies on the confluence of pc 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 related challenges of delivering well being care and sustaining health-care data 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 file (EHR) methods, which have revolutionized well being care and maintain super potential for medical analysis, operations, and analysis, but in addition undergo from critical shortcomings. By his Takeda Fellowship, Murray will deal with a major EHR limitation: disparate interfaces that fragment the medical 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 Know-how 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 concentrate on subcortical white matter lesions in acute TBIs leading to problems 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 assist of a Takeda Fellowship, Pullen will develop and validate the appliance 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 Know-how whose analysis explores the underlying physics of optical imaging, with the purpose of increasing its capability to handle necessary 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 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 research the performance of the human hand and its skill to control objects and instruments.
