Medicine
Medicine

Medicine

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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.

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3 Questions: Should we label AI systems like we do prescription drugs?

Researchers argue that in health care settings, “responsible use” labels could ensure AI systems are deployed appropriately.

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MIT-Takeda Program wraps up with 16 publications, a patent, and nearly two dozen projects completed

The program focused on AI in health care, drawing on Takeda’s R&D experience in drug development and MIT’s deep expertise in AI.

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School of Engineering welcomes new faculty

Fifteen new faculty members join six of the school’s academic departments.

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From steel engineering to ovarian tumor research

Ashutosh Kumar, a materials science and engineering PhD student and MathWorks Fellow, applies his eclectic skills to studying the relationship between bacteria and cancer.

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When an antibiotic fails: MIT scientists are using AI to target “sleeper” bacteria

Most antibiotics target metabolically active bacteria, but with artificial intelligence, researchers can efficiently screen compounds that are lethal to dormant microbes.

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Brain surgery training from an avatar

MIT.nano Immersion Lab works with AR/VR startup to create transcontinental medical instruction.

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New model identifies drugs that shouldn’t be taken together

Using a machine-learning algorithm, researchers can predict interactions that could interfere with a drug’s effectiveness.

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Doctors have more difficulty diagnosing disease when looking at images of darker skin

Dermatologists and general practitioners are somewhat less accurate in diagnosing disease in darker skin, a new study finds. Used correctly, AI may be able to help.

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What to do about AI in health?

Although artificial intelligence in health has shown great promise, pressure is mounting for regulators around the world to act, as AI tools demonstrate potentially harmful outcomes.