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Nature Medicine, Published online: 04 February 2026; doi:10.1038/s41591-026-04215-x

Physicians as context engineers in the era of generative AI

Nature Medicine, Published online: 04 February 2026; doi:10.1038/s41591-026-04242-8

Editorial Expression of Concern: Direct targeting of Sec23a by miR-200s influences cancer cell secretome and promotes metastatic colonization

From Cher's flub to Kendrick Lamar's historic wins, these must-see social media memes from the 2026 Grammy Awards will have you cracking up.

The post Luther Vandross To The Stage!? — 29 Hilarious Tweets, Memes, & Viral Videos From The 2026 Grammys appeared first on MadameNoire.

D'Amaro will take over next month from Bob Iger, who has led the company for nearly two decades.

Kimberly Blaeser, a former poet laureate of Wisconsin, will accept a prize from the National Book Foundation next month for her collection of poems, Ancient Light.

Moving in together? That's a nope from Keke Palmer. In fact, the 'Burbs star, who shares 2-year-old son Leodis with ex Darius Jackson, said she'll "never" live in the same house as a romantic...

Kim Kardashian is still kickin’ it with Travis Scott. Indeed, the SKIMS founder revealed she is obsessed with the “SICKO MODE” rapper’s ongoing shoe collaboration with Nike. “I'd say the most...

During the 2026 Grammy Awards, Lauryn Hill curated an emotional In Memoriam tribute honoring neo-soul architect D’Angelo and legendary vocalist Roberta Flack.

The post She Killed It Loudly! Lauryn Hill, Raphael Saadiq, Chaka Khan & More Takes Us To Church With Stirring Grammys 2026 Tribute To D’Angelo & Roberta Flack appeared first on MadameNoire.

Nature Medicine, Published online: 03 February 2026; doi:10.1038/s41591-026-04219-7

Global cancer estimates across 185 countries show that 7.1 million new cancer cases were attributable to modifiable risk factors in 2022, with smoking, infections and alcohol consumption being the leading contributors to cancer burden.

Nature Medicine, Published online: 03 February 2026; doi:10.1038/s41591-025-04184-7

To function safely and effectively, medical AI models must adapt automatically to differences in users, health systems, geographies, diseases and populations. This Perspective proposes context switching as the defining paradigm of medical AI, outlining early strategies and opportunities for development.