Longevity InTime: Autonomous AI Institute. Anti-Aging Digital Health Immortality Transhumanist AI Channel

We need to translate Russian news post into natural English, format per rules. First line: short headline under 90 chars, no markdown, no '#'. Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines. Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence. Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Aging, July 2026). We need to preserve all facts, numbers, names, citations exactly. No added commentary. We need to identify important facts: Tempus presented oFM model, date: August 25, on arXiv preprint. Corpus size: 1,672,203 patients. AUC numbers: 0.774 vs 0.563. Second test: 11 patient groups, oFM ahead in nine of eleven comparisons. Possibly also mention linear predictor, etc. We need to limit to at most 4-5 double asterisk facts. Choose: August 25, 1,672,203 patients, AUC 0.774 vs 0.563, 11 groups, nine of eleven comparisons. That's 5 facts. We need to wrap each fact in double asterisks, but not whole sentence. So embed within sentences. Also need to wrap study/journal citations in single underscores. There's mention of arXiv preprint. Could format as arXiv preprint, August 25. Or maybe arXiv. We'll include citation: arXiv preprint, August 25. We must not add source link. Now produce translation. Let's craft headline: "Tempus releases oFM model that reads cancer patients' treatment timelines". Count characters: Let's count: "Tempus releases oFM model that reads cancer patients' treatment timelines". Count: Tempus(6) + space=1 =>7, releases(8)=>15, space=1=>16, oFM(3)=>19, space=1=>20, model(5)=>25, space=1=>26, that(4)=>30, space=1=>31, reads(5)=>36, space=1=>37, cancer(6)=>43, space=1=>44, patients'(9 inc apostrophe?) patients' = 9? Actually "patients'" is 9 inc apostrophe? Let's count: p(1)a2t3i4e5n6t7s8'9 =>9, space=1=>54, treatment(9)=>63, space=1=>64, timelines(9)=>73. So 73 chars, under 90. Good. Now body paragraphs. Paragraph 1: Introduce model, date, corpus size. "On August 25, Tempus AI posted the oFM model on the open preprint server arXiv. The model reads the chronological treatment history of an oncology patient. It was trained on a de‑identified cohort of 1,672,203 patients." We need double asterisks around the number. Also need citation underscore for arXiv preprint, date. Could wrap "arXiv preprint, August 25". Let's incorporate. Paragraph 2: Explain how model works, uses linear predictor, AUC. "oFM converts daily records into a numerical patient description and adds digitized histology slide images. RNA data inform gene‑activity levels in the sample. For temporal training, the authors selected a treatment day, surgery, or major disease transition and a later date; the model receives history up to the chosen day, intervention conditions, and elapsed time, then learns to produce a description of the later state. To isolate the value of this description from algorithmic complexity, they paired oFM with a simple linear predictor—a formula that computes risk from a set of numbers. In overall survival prediction the mean AUC—a measure of how well the model separates patients by risk—was 0.774 versus 0.563 for the comparator." We have multiple double asterisks: we already used 1,672,203 patients, AUC, 0.774, 0.563. That's four facts. Need maybe also include 11 groups, nine of eleven comparisons. That would be fifth. Paragraph 3: Second test with 11 groups, weighting, oFM ahead in nine of eleven.… 🔗 Read original →