How an archeological approach can help leverage biased data in AI to improve medicine
Although computer scientists may initially treat data bias and error as a nuisance, researchers argue it’s a hidden treasure trove for reflecting societal values.
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Although computer scientists may initially treat data bias and error as a nuisance, researchers argue it’s a hidden treasure trove for reflecting societal values.
Center for International Studies Global Seed Funds program fosters collaboration and innovation.
The new approach could lead to intranasal vaccines for Covid-19 and other respiratory diseases.
Howard Hughes Medical Institute Gilliam Fellows are selected for their promise as future leaders in their scientific fields and for their commitment to advancing equity and inclusion.
The MIT School of Engineering recently honored outstanding faculty, students, and staff with its 2023 awards.
A one-week summer program aims to foster a deeper understanding of machine-learning approaches in health among curious young minds.
Nine faculty members have been granted tenure in six units across MIT’s School of Engineering.
PhD student Constantine Tzouanas investigates how interactions between individual cells help determine whether pathogens will defeat their hosts — or vice versa.
Three graduate students forged a path to the same Picower Institute lab through participating in the MIT Summer Research Program in Biology and Neuroscience.
Evaluating articles and journals using a new “diversity index” could promote a wider range of perspectives and better global health outcomes, researchers say.
Faculty and researchers across MIT’s School of Engineering receive many awards in recognition of their scholarship, service, and overall excellence.
Distinctive EEG patterns indicate when a patient’s state of unconsciousness under general anesthesia is more profound than necessary.
BioAutoMATED, an open-source, automated machine-learning platform, aims to help democratize artificial intelligence for research labs.
An MIT anthropology course encourages students to envision more equitable device design.
The machine-learning algorithm identified a compound that kills Acinetobacter baumannii, a bacterium that lurks in many hospital settings.