Reframing the first-generation academic experience First-gen MIT graduate students, including HST students, are claiming their identity, forming community, and holding space for one another. MIT engineers design a soft, implantable ventilator The new design works with the diaphragm to improve breathing. Meet the 2022-23 Accenture Fellows This year's fellows, including an HST student, will work across research areas including telemonitoring, human-computer interactions, operations research, AI-mediated socialization, and chemical transformations. Kate Hodgins wins HMS award for excellence in medical education The Richard A. Gillis Award for Excellence in Medical Education is given to those who exemplify the standards of excellence of the MD program at Harvard Medical School Large language models help decipher clinical notes Researchers, including an HST faculty member, used a powerful deep-learning model to extract important data from electronic health records that could assist with personalized medicine. Pagination First page « First Previous page Previous … Page 25 Page 26 Page 27 Current page 28 Page 29 Page 30 Page 31 … Next page Next Last page Last »
Reframing the first-generation academic experience First-gen MIT graduate students, including HST students, are claiming their identity, forming community, and holding space for one another.
MIT engineers design a soft, implantable ventilator The new design works with the diaphragm to improve breathing.
Meet the 2022-23 Accenture Fellows This year's fellows, including an HST student, will work across research areas including telemonitoring, human-computer interactions, operations research, AI-mediated socialization, and chemical transformations.
Kate Hodgins wins HMS award for excellence in medical education The Richard A. Gillis Award for Excellence in Medical Education is given to those who exemplify the standards of excellence of the MD program at Harvard Medical School
Large language models help decipher clinical notes Researchers, including an HST faculty member, used a powerful deep-learning model to extract important data from electronic health records that could assist with personalized medicine.
