How artificial intelligence is reshaping health care
After years of hype about the impact artificial intelligence (AI) could have on health care, many experts believe that we are now on a cusp of a revolution in which AI will reshape various aspects of medicine, from…
Student startups chosen for Harvard Innovation Labs support
Eleven teams affiliated with Harvard T.H. Chan School of Public Health were selected for the Harvard Innovation Labs Fall 2020 i-lab Venture Program cohort.
A call for greater transparency, reproducibility in use of artificial intelligence in medicine
For immediate release: October 14, 2020 Boston, MA – Scientists working at the intersection of Artificial Intelligence (AI) and cancer care need to be more transparent about their methods and publish research that is reproducible, according to a…
Course introduces students to the promise, challenges, of artificial intelligence in health
AI can enhance health care delivery and research, but it’s not a replacement for the knowledge and skill of providers and scientists.
Human Immunomics Initiative will decode immune system, speed new vaccines
Harvard Chan School, Human Immunomics Initiative announce project to speed vaccines.
Conference explores intersection of cancer, immunology, and data science
The Program in Quantitative Genomics conference explored the intersection of cancer, immunology, and data science.
Artificial intelligence could reshape public health, but obstacles abound
The potential for artificial intelligence (AI)to reshape the field of health care — to help improve diagnosis and enable an increasingly precision approach to medicine — may seem boundless. But the lack of technological infrastructure, nascent policy debates,…
Could artificial intelligence transform health systems?
November 13, 2018 – In an October 22, 2018 article in the Journal of Global Health, Rifat Atun, professor of global health systems at Harvard Chan School, and co-authors write that machine learning—a field of artificial intelligence in…
Computer model more accurate at identifying potential sources of foodborne illnesses than traditional methods
A new computer model was significantly more accurate in identifying potentially unsafe restaurants when compared with existing methods of consumer complaints and routine inspections.
Can artificial intelligence help predict the likelihood of a heart attack?
It may be someday be possible to use artificial intelligence (AI) algorithms to gauge a person’s risk of cardiovascular disease (CVD). That’s according to research being done by Catherine Kreatsoulas, research fellow in the Department of Social and…