A vision for U.S. science success
In a talk at MIT, White House science advisor Arati Prabhakar outlined challenges in medicine, climate, and AI, while expressing resolve to tackle hard problems.
In a talk at MIT, White House science advisor Arati Prabhakar outlined challenges in medicine, climate, and AI, while expressing resolve to tackle hard problems.
The needle-free device could be used to deliver insulin, antibodies, RNA, or other large molecules.
The findings suggest that biochemical and physical effects of exercise could help heal nerves.
Thomas Heldt, associate director of IMES, describes how he collaborates closely with MIT colleagues and others at Boston-area hospitals.
The drug-device combination developed by MIT spinout Lumicell is poised to reduce repeat surgeries and ensure more complete tumor removal.
MIT engineers’ new model could help researchers glean insights from genomic data and other huge datasets.
By snugly wrapping around neurons, these devices could help scientists probe subcellular regions of the brain, and might even help restore some brain function.
The late-in-life health care option reduces patient costs, even as for-profit organizations expand in the sector.
Professors Matthew Vander Heiden and Fan Wang, along with five MIT alumni, are honored for their outstanding professional achievement and commitment to service.
The noninvasive screening procedure can reduce pregnancy risks and lower costs at the same time, but only when targeted effectively.
Novel method to scale phenotypic drug screening drastically reduces the number of input samples, costs, and labor required to execute a screen.
The devices could be a useful tool for biomedical research, and possible clinical use in the future.
Inspired by traditional medicine, 17-year-old Tomás Orellana is on a mission to identify plants that can help treat students’ health issues.
The scientists, who worked together as postdocs at MIT, are honored for their discovery of microRNA — a class of molecules that are critical for gene regulation.
New statistical models based on physiological data from more than 100 surgeries provide objective, accurate measures of the body’s subconscious perception of pain.