September 25, 2023

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2021-22 Takeda Fellows: Leaning on AI to progress medication for individuals | MIT Information

In tumble 2020, MIT’s Faculty of Engineering and Takeda Prescription drugs Enterprise Limited released the MIT-Takeda Software, a collaboration to guidance customers of the MIT community performing at the intersection of artificial intelligence and human well being. Housed at the Abdul Latif Jameel Clinic for Device Understanding in Wellness, the collaboration aims to use artificial intelligence to each reward human health and assist in drug improvement. Combining technological innovation with cutting-edge health and fitness investigation, the program’s members hope to improve health results across the earth.

Thus far, the partnership has supported joint exploration initiatives centered on matters this sort of as automated inspection in sterile pharmaceutical producing and machine finding out for liver phenotyping.

Every year, the plan also resources graduate fellowships to aid college students pursuing investigate on a wide variety of challenges tied to well being and AI. This year’s Takeda fellows, described beneath, are working on investigate involving electronic wellness document algorithms, distant sensing knowledge as it relates to environmental well being hazard, and neural networks for the development of antibiotics.

Monica Agrawal

Agrawal is a PhD student in the Office of Electrical Engineering and Pc Science (EECS). Her study focuses on the advancement of equipment studying algorithms that could unlock the possible of electronic overall health information to ability customized, actual-environment studies of comparative efficiency. She is tackling the challenge from three interconnected angles: comprehending the primary setting up blocks of scientific textual content, enabling the structuring of scientific timelines with only small labeled data, and redesigning medical documentation to incentivize significant-high-quality structured details at the time of generation. Agrawal earned equally a BS and an MS in pc science from Stanford College.

Peng Cao

A PhD college student in EECS, Peng Cao’s investigation is concentrated on producing a new tactic to checking oxygen saturation by examining the radio frequency alerts that bounce off a person’s entire body. To this conclusion, she is extracting respiration signals from the radio indicators and then instruction a neural community to infer oxygen levels from it. Peng earned a BS in computer system science from Peking College in China.

Bianca Lepe

A PhD pupil in organic engineering, Bianca Lepe is working to benchmark present and defining upcoming-era vaccine candidates for tuberculosis. She is making use of publicly readily available data blended with machine mastering algorithms to recognize the Mtb proteins that are perfectly-suited as subunit vaccine antigens throughout the range of the human leukocyte antigen alleles. Lepe gained a BS in biological engineering and small business from Caltech an MS in methods and synthetic biology from the University of Edinburgh in Scotland and an MPhil in know-how policy from the College of Cambridge in England.

Caroline McCue

Caroline McCue is a PhD pupil in mechanical engineering who is establishing a method that could simplify and velocity up the system of mobile passaging. Much more particularly, she is developing and tests a platform that triggers cell detachment in reaction to simple external stimuli, these types of as a transform in voltage or in mechanical qualities. She designs to take a look at the efficacy of this platform by making use of machine studying to quantify the adhesion of Chinese hamster ovary cells to these surfaces. McCue acquired a BS in mechanical engineering from the University of Maryland.

Somesh Mohapatra

A PhD college student in the Office of Components Science and Engineering, Somesh Mohapatra is also pursuing an MBA at the MIT Sloan Faculty of Management as part of the Leaders for World Operations Plan. His doctoral investigate, in near collaboration with experimentalists at MIT, focuses on developing biomacromolecules working with interpretable equipment studying and simulations. Specially, Mohapatra leverages macromolecule graph representations to develop device finding out types for quantitative prediction, optimization, and attribution methods. He then applies these resources to elucidate layout ideas and to improve overall performance and synthetic accessibility of operation macromolecules, ranging from peptides and glycans to electrolytes and thermosets. Mohapatra acquired his BTech in metallurgical and materials engineering from the Indian Institute of Know-how Roorkee in India.

Luke Murray

Luke Murray is a PhD student in EECS. He is creating MedKnowts, a technique that brings together equipment finding out and human laptop conversation procedures to lessen the hard work demanded to synthesize knowledge for healthcare decision-making, and writer substantial-high-quality, structured, clinical documentation. MedKnowts unifies these two at present splintered workflows by providing a seamless interface that re-imagines documentation as a normal byproduct of clinical reasoning, instead than as a compliance need. Murray attained his BS in laptop science from Brown University.

Ufuoma Ovienmhada

Ufuoma Ovienmhada SM ’20 is a PhD student in aeronautics and astronautics. Her exploration employs a blended-strategies method (local community-centered structure, techniques engineering, and machine mastering) to satellite remote sensing info to develop resources that consider how human wellbeing hazard relates to environmental hazards. Ovienmhada acquired her BS in mechanical engineering from Stanford University and her SM in media arts and sciences from MIT.​

Lagnajit Pattanaik

Lagnajit “Lucky” Pattanaik is a PhD scholar in chemical engineering. He seeks to shift the paradigm of predictive organic and natural chemistry from qualitative to quantitative. More specifically, his exploration is focused on the growth of device mastering procedures for predicting 3D buildings of molecules and reactions, like transition point out geometries and the geometrical conformations that molecules consider in option. He acquired a BS in chemical engineering from Ohio Point out University.

Na Sun 

A PhD pupil in EECS, Na Solar is functioning in the emerging field of neuro-immuno-genomics. Much more especially, she is establishing equipment mastering strategies to greater recognize the interactions amongst two extremely sophisticated systems: the human brain and its dozens of cell types, and the human immune technique and the dozens of biological processes that it integrates throughout cognition, pathogen response, diet regime-physical exercise-weight problems, and synaptic pruning. Solar gained her BS in everyday living sciences from Linyi College in China and an MS in developmental biology from the University of Chinese Academy of Sciences in China.

Jacqueline Valeri

Jacqueline Valeri is a PhD college student in biological engineering who utilizes neural networks for antibiotics discovery. Her endeavours consist of the recycling of compounds from current compound libraries and the computationally assisted layout of novel therapeutics. She is also enthusiastic by broader applications of equipment discovering and artificial intelligence in the fields of wellness care and biomedicine. Valeri attained her BSE and MSE in bioengineering from the University of Pennsylvania.

Clinton Wang

A PhD pupil in EECS, Clinton Wang SM ’20 has produced a new sort of conditional generative adversarial community centered on spatial-intensity transforms. It achieves substantial picture fidelity, is robust to artifacts in teaching facts, and generalizes to held-out scientific web-sites. Wang now aims to extend his product to even extra hard purposes, which includes visualizing transformations of focal pathologies, these types of as lesions, the place it could provide as a highly effective device for characterizing biomarkers of malignancy and treatment response. Wang gained a BS in biomedical engineering from Yale University and an SM in electrical engineering and computer science from MIT.