The headline is broadly defensible, but the qualifications matter. Effect sizes vary by population, the strongest claims rest on shorter trials, and credible voices push back on how it's typically framed.
we look at is a mutation present what gene is the mutation in how long is a cell free dna fragment is this mutation one of the mutations that is caused by smoking all these different things and they put that in the machine learning model and the machine learning model isn't just saying have i seen this mutation before in lung cancer but it's looking at these other properties to say do the properties of the mutations match what you'd expect in a lung cancer
Every Sunday: the week’s new conflicts and verdict changes — and nothing else.
Native comments, Twitter mentions, and Reddit threads about this claim — surfaced together so the conversation isn't fragmented across platforms.
Bookmarking — the dossier-vs-overview split is the right call. Most of the time I want overview; sometimes I want receipts.
Would love a "what would change this verdict" RSS feed. Sign me up if it exists.
and they put that in the machine learning model and the machine learning model isn't just saying have i seen this mutation before in lung cancer but it's looking at these other properties to say do the properties of the mutations match what you'd expect in a lung cancer and then the model ultimately spits out a probability that that blood sample was from a patient with lung cancer or not
Whole-body MRI screening in healthy adults produces more incidentaloma harm than cancer-mortality benefit.
Starting colonoscopy screening at 45 (vs 50) prevents enough early-onset cancers to justify the population cost.
Multi-cancer liquid-biopsy tests like Galleri detect early cancers at a stage that meaningfully improves survival.