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The MIT-Takeda Program, a collaboration in between MIT’s Faculty of Engineering and Takeda Prescription drugs Business, fuels the enhancement and application of artificial intelligence capabilities to advantage human overall health and drug growth. Portion of the Abdul Latif Jameel Clinic for Device Finding out in Wellness, the plan coalesces disparate disciplines, merges principle and useful implementation, brings together algorithm and components innovations, and makes multidimensional collaborations involving academia and marketplace.
With the intention of constructing a neighborhood focused to the up coming technology of AI and method-level breakthroughs, the MIT-Takeda Method is also creating educational possibilities. Every single year Takeda funds fellowships to guidance graduate students pursuing research relevant to wellness and AI. This year’s Takeda Fellows, explained underneath, are doing work on projects ranging from electronic wellness report programs and robotic regulate to pandemic preparedness and traumatic brain injuries.
Camille C. Farruggio
Farruggio is a PhD candidate in the Office of Resources Science and Engineering whose investigate leverages AI and equipment understanding, like regression modeling, to assistance comprehend the assure of cells-as-medication applications. As a Takeda Fellow, she seeks to establish a holistic being familiar with of the tradition situations and cell characteristics that modulate and forecast mobile efficacy as therapeutic therapies and solve current technology bottlenecks in the manufacturing of mobile therapies.
Wenhao Gao
Gao is a PhD applicant in the Department of Chemical Engineering who aims to speed up organic and chemical discovery procedures. His function precisely focuses on AI for health sciences and cutting-edge purposes of machine studying for molecular discovery and drug improvement. Gao’s study, supported by a Takeda Fellowship, seeks to generate a more economical method, applying AI algorithms to progress de novo style and design procedures and natural synthesis for accelerated drug improvement.
Samuel Goldman
Goldman is a PhD candidate in the Computational and Programs Biology System whose investigate pursuits lie at the intersection of biology, analytical chemistry, and machine learning. Precisely, Goldman utilizes mass spectrometry info and generative deep learning to elucidate the buildings of not known molecules in biological samples, with critical implications for drug discovery. As a Takeda Fellow, he will create new computational resources to characterize and evaluate mysterious small molecule metabolites in a mobile mixture.
Sarah Gurev
Gurev is a PhD applicant in the Section of Electrical Engineering and Computer system Science. Her analysis seeks to tackle the worries of pandemic preparedness and the prediction of viral immune evasion. As a Takeda Fellow, Gurev will advance her function at the intersection of computational techniques and experimental screening to acquire new styles of antibody escape.
R’mani Haulcy
Haulcy is a PhD candidate in the Office of Electrical Engineering and Personal computer Science whose work bridges the fields of AI and health to generate reducing-edge AI-centered assessments of cognitive impairment in speech and language conditions. Supported by a Takeda Fellowship, Haulcy will produce new resources for speech processing concentrated on the measurement of wellness-associated speech biomarkers, particularly examining the speech of topics with frontotemporal dementia and major progressive aphasia.
Velina Kozareva
Kozareva is a PhD applicant in the Computational and Techniques Biology Software whose investigation focuses on establishing equipment discovering approaches to integrate multi-omic details in heterogeneous illnesses. As a Takeda Fellow, Kozareva aims to build computational solutions to at the same time establish subtypes of heterogeneous disorders and the causal mechanisms that push every subtype, with an initial concentrate on amyotrophic lateral sclerosis.
Yang Liu
Liu is a PhD applicant in the Section of Electrical Engineering and Personal computer Science whose present-day get the job done focuses on AI for well being documents and computational imaging/images, which lies at the confluence of computer system science, optics, biomedical/neuroscience, hardware layout, and program structure. Liu’s Takeda Fellowship will assist his latest investigation, a collaborative project that aims to tackle the related problems of offering wellbeing care and retaining wellness-care information in resource-constrained settings.
Luke Murray
Murray is a PhD candidate in the Department of Electrical Engineering and Personal computer Science whose get the job done is focused on digital well being history (EHR) systems, which have revolutionized health treatment and keep remarkable potential for scientific diagnosis, functions, and exploration, but also suffer from significant shortcomings. By means of his Takeda Fellowship, Murray will tackle a most important EHR limitation: disparate interfaces that fragment the clinical workflow into time-consuming, mistake-inclined procedures that have to have clinicians to expend much more time interacting with EHRs than with patients.
Mark Olchanyi
Olchanyi is a PhD prospect in the Harvard-MIT Application in Well being Sciences and Engineering whose investigation seeks to advance our information of traumatic mind injuries (TBIs). Olchanyi’s investigate, supported by a Takeda Fellowship, will apply deep finding out to review in vivo imaging-based TBI biomarkers, with a individual aim on subcortical white matter lesions in acute TBIs ensuing in issues of consciousness.
Krista Pullen
Pullen is a PhD candidate in the Section of Organic Engineering whose research is positioned at the intersection of vaccine immunology and device discovering. With the assistance of a Takeda Fellowship, Pullen will create and validate the software of cross-species modeling in the context of vaccine immunology to permit the prediction of human efficacy from preclinical facts.
Georgia Thomas
Thomas is a PhD candidate in the Harvard-MIT System in Well being Sciences and Know-how whose investigate explores the fundamental physics of optical imaging, with the objective of expanding its ability to address significant clinical challenges. As a Takeda Fellow, Thomas will advance her operate to develop impressive equipment to improved recognize and treat coronary atherosclerosis, a illness impacting about 18 million individuals in the United States on your own.
A. Michael West Jr.
West is a PhD applicant in the Office of Mechanical Engineering whose investigate integrates robotics, AI, and overall health care to make improvements to robotic rehabilitation and progress human-robotic interactions. Specifically, his function explores the human neuromotor regulate of motion, with the objective of boosting robotic control and general performance. As a Takeda Fellow, West will study the performance of the human hand and its skill to manipulate objects and equipment.
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