
Meanwhile, in Amsterdam, a team of researchers looked at pleural mesothelioma on CT scans and apparently said: what if we stopped pretending this cancer grows like a polite little marble?

Meanwhile, in Amsterdam, a team of researchers looked at pleural mesothelioma on CT scans and apparently said: what if we stopped pretending this cancer grows like a polite little marble?

Hot take: the most suspiciously clever part of this new Nature paper is that it asks the computer to stop doing all the vision work and lets a tiny patterned sheet of material bully light into doing the first pass instead. Rude to GPUs? Maybe. Deserved? Also maybe.

Monday morning in an AI-for-organic-chemistry lab starts with coffee, a reaction dataset full of weird gaps, and the quiet realization that half your “training examples” look like they were recorded by a brilliant scientist during a fire drill.
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The “AI can count the strawberries in this photo” meme has apparently grown up, gone to medical school, and started measuring tumors wrapped around lungs like extremely unwelcome cling film.

The punchline is that the chemistry lab’s new fortune teller does not read tea leaves - it reads the energy bill for every suspicious little intermediate hiding backstage.

Researchers have found antibiotic-like peptides hiding inside prion proteins, the biological shipwrecks we usually blame for fatal brain disease.

Gather 'round, for the scrolls of machine learning grow heavier by the moon, and most are filled with the same weary boast: bigger models, longer benchmarks, another half-point on a leaderboard nobody outside the guild can read. But every so often a paper arrives not to flatter the machines, but to...

85,000 clinical options sat inside the sandboxed electronic health record, and MIRA, the AI agent in Ferber et al.'s new Nature paper, had to choose which doors to open without accidentally summoning a medication-error demon.

The 38,650-molecule Neisseria gonorrhoeae screen is the benchmark here, and beating it matters because gonorrhea has spent decades treating antibiotics like poorly installed drywall - something to punch through, adapt around, and embarrass in public.

The old way of testing medical AI was like inspecting a house by admiring the front door while rain pours through the bedroom ceiling; BRIDGE is the human invention where someone finally climbs onto the roof with a flashlight and says, "Ah, yes, the water is entering through reality."

“Mapping the neuronal building blocks of human language with language models” is the kind of title that arrives wearing three lab coats. Plain English translation: researchers listened to individual brain cells while people spoke, then used language models to ask, “Which tiny sparks seem to care...

Verdict: this paper delivers a surprisingly well-balanced plate - not a finished clinical entree yet, but much more than an amuse-bouche with a p-value garnish.

Most people assume fake medical data is just spreadsheet cosplay - numbers wearing a lab coat and hoping nobody asks for credentials. Gatoula and colleagues argue the opposite: in gastrointestinal medicine, synthetic data might become the weirdly useful decoy that helps AI learn without dragging...

Your computer already spends its day guessing what you meant, cleaning up your photos, and politely pretending your 47 open tabs are a lifestyle choice. Now chemistry researchers are asking a similar question: can AI look at a flat molecular sketch and guess which catalyst is worth making before...

If you tell normal humans that today's exhibit is "nucleosome occupancy patterns in circulating DNA," they may back slowly toward the gift shop, and honestly, fair.

At 7:12 a.m., a complete blood count analyzer starts its shift by counting cells in a tube of blood and trying very hard not to get dragged into oncology.

The first reaction is a little vertigo: apparently your brain may not just remember the past, it quietly renegotiates how much of the past deserves a vote.

You've tried to spot one specific friend in a packed concert crowd. Now imagine that friend is a single protein, the crowd is a churning soup of identical-looking molecules, and nobody is allowed to wear a glow stick.

Compared with AlphaFold-style structure prediction, classic test-tube refolding experiments, and heroic cryo-EM/NMR snapshots of molecular chaos, Chan and colleagues took the extremely un-chill route: they watched half-born proteins fold while still attached to the ribosome, then used fluorine NMR...

The server room hums like a refrigerator that has developed opinions, while somewhere nearby a microscope slide waits under glass, stained pink and brown, pretending to be ordinary tissue.