2022-23 Takeda Fellows: Leveraging AI to positively impression human well being | MIT Information

The MIT-Takeda Program, a collaboration between MIT’s Faculty of Engineering and Takeda Prescribed drugs Firm, fuels the event and utility of synthetic intelligence capabilities to learn human well being and drug improvement. A part of the Abdul Latif Jameel Clinic for Machine Studying in Well being, this system coalesces disparate disciplines, merges idea and sensible implementation, combines algorithm and {hardware} improvements, and creates multidimensional collaborations between academia and business.

With the purpose of constructing a neighborhood devoted to the following technology of AI and system-level breakthroughs, the MIT-Takeda Program can also 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 beneath, are engaged on tasks starting from digital well being document 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 notice 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 resolve 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 improvement. 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 improvement.

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 constructions 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 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 issues. Supported by a Takeda Fellowship, Haulcy will develop new instruments for speech processing centered on the measurement of health-related speech biomarkers, particularly inspecting 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 establish subtypes of heterogeneous ailments 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 mission that goals to handle 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 document (EHR) programs, which have revolutionized well being care and maintain super potential for scientific prognosis, operations, and analysis, but additionally undergo from critical shortcomings. By way of 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 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 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 objective of increasing its capability to handle vital 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 US 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 objective of enhancing robotic management and efficiency. As a Takeda Fellow, West will examine the performance of the human hand and its means to govern objects and instruments.