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Bioscience (including both fundamental biology and medicine) is arguably the most important engineering system that mankind wishes to model, understand, and engineer. EECS provides a rich set of analytical tools to tackle these systems.
bio-EECS website -
Caroline Uhler blends machine learning, statistics, and biology to understand how our bodies respond to illness. -
Encapsulating modified bacteria in tough hydrogel spheres prevents them from spreading genes to other microbes. -
EECS Associate Professor Thomas Heldt finds inspiration where fundamental physical principles intersect with human health. -
Regina Barzilay, Fotini Christia, and Collin Stultz describe how artificial intelligence and machine learning can support fairness, personalization, and inclusiveness in health care. -
Biological sensors developed by MIT spinout Glympse Bio could help clinicians make decisions for individual patients. -
Analysis reveals genetic control elements that are linked to hundreds of human traits. -
Scalable CRISPRi system from SMART allows scientists to identify and tackle causes of E. faecalis-related diseases and drug resistance. -
MIT researchers grow structures made of wood-like plant cells in a lab, hinting at the possibility of more efficient biomaterials production. -
Sensor developed by SMART researchers would allow rapid diagnosis of nutrition deficiency in plants, enabling farmers to maximize crop yield in a sustainable way. -
MIT mechanical engineers, working alongside a trio of EECS graduate students from Professor Daniela Rus’s group in CSAIL, have developed technologies to help hospitals around the world provide life-saving oxygen to patients with Covid-19 and other respiratory illnesses. -
AAAI Fellows are selected in recognition of their significant and extended contributions to the field (contributions which typically span a decade or more), including technical results, publications, patent awards, and contributions to group efforts. -
SMART researchers use Raman spectroscopy for early detection of SAS, which can help farmers better monitor plant health and improve crop yields. -
Katie Collins and Marla Odell are heading to the United Kingdom next fall for two years of graduate study. -
Prof. Fujimoto, the Elihu Thomson Professor of Electrical Engineering, will be awarded the Visionary Prize for his research, which focuses upon the areas of biomedical imaging, optical coherence tomography (OCT), advanced laser technologies and applications. -
M-CELS are purpose-driven living systems with multiple interacting living components. -
Koomson has focused her research on microelectronic systems for cell analysis and biomedical applications. -
Machine learning model predicts probability that a particular urinary tract infection can be treated by specific antibiotics. -
MIT conference illustrates technologies developed in response to the pandemic and new opportunities for AI solutions for clinical management. -
Computational method for screening drug compounds can help predict which ones will work best against tuberculosis or other diseases. -
MIT professor announced as award’s first recipient for work in cancer diagnosis and drug synthesis. -
July saw two new chair appointments within the department’s leadership. Please join us in congratulating Asu Ozdaglar and Joel Voldman on their accomplishments, and learn more about the new chairs here.MTL, RLE, InfoSys, ApplPhysDev, Biomed, Systems, Theory, bio-EECS, Connections, Multicore -
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Murray Eden, Emeritus Professor in Electrical Engineering at MIT, passed away on August 9, 2020, in Tucson, AZ. He was one week shy of his 100th birthday. -
Specialized nanoparticles create a “breath signal” that could be used to diagnose pneumonia and other infectious or genetic diseases. -
PhD student Geeticka Chauhan draws on her experiences as an international student to strengthen the bonds of her MIT community.
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