The MIT-Takeda Program, a cooperation in between MIT’s School of Engineering and Takeda Pharmaceuticals Business, fuels the advancement and application of expert system abilities to benefit human health and drug advancement. Part of the Abdul Latif Jameel Center for Artificial Intelligence in Health, the program coalesces diverse disciplines, combines theory and useful application, integrates algorithm and hardware developments, and produces multidimensional partnerships in between academic community and market.
With the objective of developing a neighborhood devoted to the next generation of AI and system-level advancements, the MIT-Takeda Program is likewise developing instructional chances. Every year Takeda funds fellowships to support college students pursuing research study associated to health and AI. This year’s Takeda Fellows, explained listed below, are dealing with tasks varying from electronic health record systems and robotic control to pandemic readiness and distressing brain injuries.
Camille C. Farruggio
Farruggio is a PhD prospect in the Department of Products Science and Engineering whose research study leverages AI and artificial intelligence, consisting of regression modeling, to assist understand the pledge of cells-as-medicine applications. As a Takeda Fellow, she looks for to establish a holistic understanding of the culture conditions and cell characteristics that regulate and anticipate cell effectiveness as healing treatments and resolve existing innovation traffic jams in the production of cell treatments.
Wenhao Gao
Gao is a PhD prospect in the Department of Chemical Engineering who intends to speed up biological and chemical discovery procedures. His work particularly concentrates on AI for health sciences and innovative applications of artificial intelligence for molecular discovery and drug advancement. Gao’s research study, supported by a Takeda Fellowship, looks for to produce a more effective procedure, utilizing AI algorithms to advance de novo style approaches and natural synthesis for sped up drug advancement.
Samuel Goldman
Goldman is a PhD prospect in the Computational and Systems Biology Program whose research study interests lie at the crossway of biology, analytical chemistry, and artificial intelligence. Particularly, Goldman utilizes mass spectrometry information and generative deep knowing to illuminate the structures of unidentified particles in biological samples, with essential ramifications for drug discovery. As a Takeda Fellow, he will develop brand-new computational tools to define and determine unidentified little particle metabolites in a cellular mix.
Sarah Gurev
Gurev is a PhD prospect in the Department of Electrical Engineering and Computer Technology. Her research study looks for to deal with the difficulties of pandemic readiness and the forecast of viral immune evasion. As a Takeda Fellow, Gurev will advance her work at the crossway of computational methods and speculative screening to establish brand-new designs of antibody escape.
R’mani Haulcy
Haulcy is a PhD prospect in the Department of Electrical Engineering and Computer technology whose work bridges the fields of AI and health to produce innovative AI-based evaluations of cognitive disability in speech and language conditions. Supported by a Takeda Fellowship, Haulcy will establish brand-new tools for speech processing concentrated on the measurement of health-related speech biomarkers, particularly analyzing the speech of topics with frontotemporal dementia and main progressive aphasia.
Velina Kozareva
Kozareva is a PhD prospect in the Computational and Systems Biology Program whose research study concentrates on establishing artificial intelligence approaches to incorporate multi-omic information in heterogeneous illness. As a Takeda Fellow, Kozareva intends to establish computational approaches to all at once determine subtypes of heterogeneous illness and the causal systems that drive each subtype, with a preliminary concentrate on amyotrophic lateral sclerosis.
Yang Liu
Liu is a PhD prospect in the Department of Electrical Engineering and Computer technology whose present work concentrates on AI for health records and computational imaging/photography, which lies at the confluence of computer technology, optics, biomedical/neuroscience, hardware style, and software application style. Liu’s Takeda Fellowship will support his present research study, a collective task that intends to deal with the linked difficulties of providing healthcare and preserving health-care records in resource-constrained settings.
Luke Murray
Murray is a PhD prospect in the Department of Electrical Engineering and Computer technology whose work is concentrated on electronic health record (EHR) systems, which have actually transformed healthcare and hold significant capacity for scientific medical diagnosis, operations, and research study, however likewise struggle with major imperfections. Through his Takeda Fellowship, Murray will take on a main EHR restriction: diverse user interfaces that piece the scientific workflow into lengthy, error-prone procedures that need clinicians to invest more time connecting with EHRs than with clients.
Mark Olchanyi
Olchanyi is a PhD prospect in the Harvard-MIT Program in Health Sciences and Innovation whose research study looks for to advance our understanding of distressing brain injuries (TBIs). Olchanyi’s research study, supported by a Takeda Fellowship, will use deep discovering to study in vivo imaging-based TBI biomarkers, with a specific concentrate on subcortical white matter sores in severe TBIs leading to conditions of awareness.
Krista Pullen
Pullen is a PhD prospect in the Department of Biological Engineering whose research study is located at the crossway of vaccine immunology and artificial intelligence. With the assistance of a Takeda Fellowship, Pullen will establish and verify the application of cross-species modeling in the context of vaccine immunology to make it possible for the forecast of human effectiveness from preclinical information.
Georgia Thomas
Thomas is a PhD prospect in the Harvard-MIT Program in Health Sciences and Innovation whose research study checks out the underlying physics of optical imaging, with the objective of broadening its capability to deal with essential medical difficulties. As a Takeda Fellow, Thomas will advance her work to produce ingenious tools to much better comprehend and deal with coronary atherosclerosis, an illness impacting over 18 million individuals in the United States alone.
A. Michael West Jr.
West is a PhD prospect in the Department of Mechanical Engineering whose research study incorporates robotics, AI, and healthcare to enhance robotic rehab and advance human-robot interactions. Particularly, his work checks out the human neuromotor control of motion, with the objective of improving robotic control and efficiency. As a Takeda Fellow, West will study the performance of the human hand and its capability to control things and tools.