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

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31 August 2026
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We need to translate Russian news post into natural English, format with headline line (<90 chars), blank line, then body 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. Wrap study/journal citations and publication references in single underscores. We need to preserve all facts, numbers, names, citations exactly. No added commentary. No source link. We need to identify important facts: Outer Bio presented Yuna on August 24 (date). Yuna system for four-week experiments on living human skin experiments. 8-millimeter full-thickness biopsy. 3D-printed porous insert. Study 2020 other model preserved integrity up to nine days. Authors observed biopsies from 19 donors up to four weeks and performed 118 replicates. Early adaptation period; gene activity profiles weeks 1-4 closer to each other than fresh skin. Next experiment: biopsies of four donors treated three weeks with immune signaling molecules IL-17A and IL-22. Inflammatory changes persisted: gene activity related to inflammation and skin barrier changed; inflammatory proteins secreted into medium. Tofacitinib, a drug that blocks one immune signaling pathway, attenuated part of these changes. Separate experiment: skin of three donors aged 58–74 treated three weeks with dasatinib alone or combined with quercetin. At end, authors registered reduced levels of IL-6 and MMP1. Calculated by SenSkin gene activity — a marker of skin cellular aging — and authors' chronic inflammation signature also decreased. Four-week window allows separating early tissue adaptation from changes caused by long treatment. In it one can observe processes in human skin that unfold over weeks, not only first days of culture. We need to wrap key numbers, percentages, drug/company/gene names, dates in double asterisks. At most 4-5 per post. So we need to select maybe 4-5 important facts: date August
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FDA increasingly relies on single studies for drug approvals In 2024, the US FDA approved 69.4% of new drugs based on the results of a single study. An article published August 26 examined all FDA approvals from 2016 to 2024 and the 6,763 related studies. Over that period, the average number of studies supporting each approval fell from 3.41 to 1.39. The authors extracted from FDA packages the studies the agency directly relied on and those cited in the decision rationale. In February, FDA guidance proposed treating one pivotal study as the usual basis for approval. In the authors’ data, a single study became the most common approval basis already in 2017; in 2024, only 5.6% of approved drugs relied on three or more studies. The historical preference for two studies is tied to reproducibility: “Requiring at least two studies for approval reflects the core scientific principle of reproducibility.” The evidentiary package also includes trial design details—what treatment was compared to, how participants were allocated, and 🔗 Read original →
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We need to translate Russian news post into natural English, format per rules. First line: short headline under 90 chars? Actually under 90 characters. 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 have a preprint by Zongmin Lu dated August 26. So date is August 26 (year unspecified). We'll put date in double asterisks? It's a key fact. Also numbers: average correlation 0.555, 0.681, ceilings 0.745, 0.825, consistency 0.897, 70–90%, 63%, 18%, accuracy rose from 0.175 to 0.235, etc. Need to select at most 4-5 double-asterisk facts. Choose the most important: date, average correlations, ceilings, consistency, maybe the improvement in accuracy. That's 5. We must not wrap whole sentences, only the facts inside double asterisks. So embed them within sentences. Also need to wrap study/journal citations in single underscores. There's no explicit journal citation; it's a preprint. Could treat the preprint as a citation? Probably not needed. But we could wrap the preprint reference: Preprint by Zongmin Lu, August 26? However rule says wrap study/journal citations and publication references in single underscores. Since it's a preprint, we can treat as a publication reference: Preprint, August 26. We'll do that. We need to ensure we don't exceed 4-5 double asterisks. Let's pick: - August 26 (date) - 0.555 and 0.681 (two numbers) maybe combine? But each number counts as a fact. Could combine as "average correlations of 0.555 and 0.681". That's two double asterisks. - 0.745 and 0.825 (ceilings) two more. - 0.897 (consistency) one more. - 70–90% (percentage) one more. - 63% and 18% maybe two more but that would exceed.
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Did DARPA Develop Injectable Mind‑Control Tech? Spoiler: No The N3 (Next‑Generation Nonsurgical Neurotechnology) program was launched in 2018 with the goal of creating a non‑ or minimally invasive neurointerface capable of reading and writing neural signals in under 50 ms, providing at least 10 degrees of freedom, and achieving 95 % of the fidelity of implanted electrodes. The effort was divided into external helmets (TA1) and minimally invasive delivery routes (TA2) such as injections, swallowing, or nasal administration. The most ambitious TA2 track was BrainSTORMS from Battelle, funded with $12.9 million by DoD, which proposed injecting magnetoelectric nanoparticles into the bloodstream, steering them with external magnets to target brain areas, and converting neuronal electric activity into magnetic signals for an external helmet. Rice University’s MOANA project received $13.8 million to use viral vectors to make brain cells optically readable and magnetically stimulable, reaching phase III in May 2024. To date, the only human‑tested system is Carnegie‑Mellon’s SharpFocus, which relies on external electrodes and focused electric fields. A March 2026 study on BrainSTORMS traces concluded that reverse reading of neural activity via nanoparticles remains “predominantly theoretical,” and the Johns Hopkins Lab, end 2024 admitted that picking up signals through the scalp and skull is still 🔗 Read original →
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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 Machine Intelligence, August 28, 2026? Actually article date: 28 августа в Nature Machine Intelligence вышла статья. So we need to wrap that citation: Nature Machine Intelligence, August 28, 2026? The year not given; article presumably 2024? But we just keep as given: "28 августа в Nature Machine Intelligence вышла статья". We'll wrap the journal name and date: Nature Machine Intelligence, August 28. We need to preserve facts, numbers, names, citations exactly. Important facts: GOLLuM method, date Aug 28, article in Nature Machine Intelligence, 23 tasks, budget 50 experiments, GOLLuM average found 36.3% of conditions in top 5% results; standard Bayesian optimization 29.7%; in Buchwald-Hartwig reactions test, proportion of top 5% conditions rose from 24% (language model without fine-tuning) to 43% after joint training with GP. Also mention that they started with ten conditions below median. Also mention they released code, data, configs. We need to select at most 4-5 double asterisk facts. Choose: August 28, Nature Machine Intelligence, 23 tasks, 50 experiments, 36.3%, 29.7%, 24%, 43%. That's many; need limit to 4-5. We'll pick the most important: date, journal, 23 tasks, 50 experiments, 36.3% vs 29.7%, maybe also the Buchwald-Hartwig improvement 24% to 43%. That's more than 5. Let's think: we need at most 4-5 double asterisk facts. Could combine some: maybe we can embed multiple numbers in one double asterisk? The rule: wrap the few genuinely important facts — key
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Intestinal ACP7 secretion extends lifespan in C. elegans Researchers artificially boosted ACP7 production in the intestine of C. elegans and found that lifespan increased only when the enzyme was secreted from gut cells. The median lifespan rose by 10%, and the age at which 10 % of worms survived increased by 22%; the study appeared on 27 August in Cell Reports. Using TurboID labeling in the endoplasmic reticulum, the team performed mass spectrometry on worms aged 3, 8, and 13 days, identifying 238 extracellular or secreted proteins, of which 191 changed with age and 89 have human homologs. Four candidate proteins were tagged with fluorescent markers and all were detected outside the intestine and in coelomocytes; ACP7 levels were shown to rise with the worms’ age. Removing the 21‑amino‑acid signal peptide kept ACP7 inside the intestine and abolished its life‑extending effect, while the ACP7‑7A variant with seven substitutions in the metal‑binding domain retained secretion but lost phosphatase activity and failed to prolong lifespan. Human ACP7 was secreted in cell culture and demonstrated phosphatase activity on an artificial substrate; a computational screen pointed to 28 extracellular proteins that could be dephosphorylated by worm ACP7, providing targets for future work linking the enzyme’s activity to longevity. 🔗 Read original →
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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 .... We need to preserve facts, numbers, names, citations exactly. No added commentary. We need to identify important facts: numbers: 27 August (date), 6,053 people, 443 centenarians with preserved cognition, 3,219 control participants, 2,391 Alzheimer's patients, 24,651 DNA variants grouped, Hap-B associated with DRB1*04, Hap-R with DRB1*01:01, Hap-Y with DRB1*15:01, Braak stage, etc. We need to select at most 4-5 double-asterisk facts. Choose maybe: 27 August, 6,053 participants, 443 centenarians, 3,219 controls, 2,391 Alzheimer's patients? That's 5. But we need to be selective; maybe we can include date and total participants, and numbers of groups. Could also include gene names: DRB1*04, DRB1*01:01, DRB1*15:01. Those are also important facts. But we have limit 4-5 double asterisks total. We need to decide which to highlight. Probably highlight: 27 August, 6,053 participants, 443 centenarians, DRB1*04, DRB1*01:01? But also need DRB1*15:01 maybe not. Alternatively we could highlight numbers and gene names combined: e.g., DRB1*04, DRB1*01:01, DRB1*15:01 as three, plus date and total participants = 5. Let's decide: double asterisk for: 27 August, 6,053 participants, DRB1*04, DRB1*01:01, DRB1*15:01. That's 5. Now single underscores for study/journal citations and publication references. The text mentions a preprint published 27 August. No journal name given. Could be something like bioRxiv? Not given. It says "В препринте, опубликованном 27 августа". So we can wrap the preprint
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Adaptyv Bio Links Lab Validation to Rosalind Workbench via API Adaptyv Bio announced on 29 August that it has linked its lab validation to Rosalind Workbench OpenAI via the Adaptyv API; experimental data will flow into the next round of protein design. On 28 August, OpenAI launched Rosalind Workbench as a workspace for biological research, where a researcher can pose a question, run analysis, and draft an experiment plan. In an example, Workbench helped select nanobody candidates — small proteins that bind a given molecule — and plan and evaluate the cost of binding tests for five nanobodies. The new integration adds a laboratory step to this workflow. Through the Adaptyv API, the protein sequence (the amino‑acid order) is sent to the experiment; the lab can test whether the produced protein binds the target molecule and return the results via the platform or API. Adaptyv Bio notes that the physical‑experiment data feed directly into the next design round, so the subsequent protein‑sequence choice is based on the binding‑test result. 🔗 Read original →
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We need to translate Russian news post into 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. Let's extract facts: - Date: 28 августа (August 28) in Cell Reports (re-analysis of data). So date: August 28 (year not given? The article presumably 2024? Not given. We'll keep "August 28" as given. - Data: single-cell brain data of male mice. - After QC: 12,310 cells remained. - Pairs of young and old mice with surgically joined circulations – heterochronic parabiosis. - One-cell atlas of such pairs in 2022 collected by Robert Palovich with coauthors; Palovich also in current team. - Mice of same age served as control. - Authors identified eight microglial states. - In six activated states, 75 genes changed similarly in at least five of them. - Forty of these 75 genes entered the common age shift in all four brain regions. - Common program manifested in all regions, but each had its own shifts. - In young mice with old partners, gene activity in cerebellum and cortex changed in same direction as normal aging, albeit weaker. - Under both influences, most changes seen in cerebellum. - In old mice with young partners, in cerebellum 41 genes changed activity opposite to age changes; in cortex and hippocampus 25 each; in striatum three. We need to wrap key numbers, percentages, drug/company/gene names, dates in . At most 4-5 per post. Select maybe: 12,310 cells, August 28, 75 genes, 40 genes, 41 genes, 25 genes, three genes? That's many. Need max 4-5. Choose most important: tota
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TranslAGE Defends Biomarker Responsiveness Amid Critique TranslAGE brought together 51 studies in which human participants had blood drawn before and after an intervention. In every dataset the authors uniformly calculated 16 epigenetic clocks — algorithms that estimate age‑related changes from DNA chemical marks. On August 30 Raghav Segal, the first author of TranslAGE, replied to criticism from biogerontologist Matt Kaeberlein. Kaeberlein’s objection is whether a shift in such a marker can be used to judge the impact of a drug, diet, or exercise regimen on a person. The authors harmonized the data from those 51 studies and applied a single panel of the 16 clocks to each dataset, making it possible to compare marker shifts across different groups, time periods, and interventions. Segal phrases the article’s core question as: “Do these biomarkers respond to interventions in the expected direction, how strongly, and how consistently?” He describes the route to a clinically useful marker in three words: prognostic → responsive → surrogate. Prognostic ties the marker to future disease, function, or mortality; responsiveness shows its shift after an intervention; surrogacy would let that shift predict a patient‑relevant outcome. In the paper responsiveness is presented as a step toward a surrogate marker, which TranslAGE tests by examining how the clocks react to presumed anti‑aging interventions. Kaeberlein’s follow‑up question is whether that shift can be linked to the concrete outcome of a specific intervention in an individual. 🔗 Read original →
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NAD+ and NADPH levels in muscle correlate with function more than with age On 28 August the authors of a preprint measured six metabolism‑related compounds in muscle biopsies from 137 men aged 20–93 years. Total NAD(H) and NADP(H) pools showed no significant age‑related change. After adjusting for age, NAD+ remained associated with walking speed, leg power, muscle mass and mitochondrial count; NADPH retained links to walking, leg power, muscle mass, mitochondrial respiration and mitochondrial number. NAD+ fuels energy‑producing reactions, while NADPH supports biosynthesis and glutathione regeneration. Both glutathione forms rose with age in parallel, keeping their ratio stable. To test whether the NAD(P) links reflected mitochondrial quantity or respiratory capacity, the authors used citrate‑synthase activity as a mitochondrial‑number marker. NAD+ and NADPH correlated with both citrate‑synthase activity and maximal respiration; when respiration was normalized to citrate‑synthase activity, the associations disappeared, indicating mitochondrial number as the proximate explanation. The authors note that 2022 study data had shown lower NAD+ in older adults, especially those with poorer physical performance, whereas trained older adults approached youthful levels. A May analysis of NAD+ in whole blood across seven human cohorts also found little age‑related change. They conclude that NAD(P) exchange metrics better reflect preserved muscle health than aging, and that NAD‑modulating interventions should be evaluated by corresponding tissue‑specific functional outcomes. 🔗 Read original →
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Jaba Tkemaladze proposes centriole inheritance as a marker of aging in renewing tissues On 28 August he posted a preprint on the Research Square platform outlining the “centriole counter” hypothesis. In tissues that renew through repeated divisions, a cell lineage can retain changes in the centriole from one division to the next. In his earlier framework of four hallmarks of cellular age, Tkemaladze placed centrioles alongside telomeres and mitochondria. The current preprint narrows the focus to tissues that constantly replenish themselves with new cells. A renewing tissue simultaneously replaces specialized cells and maintains a reserve of cells that can divide again. During division, the two daughter cells may receive 🔗 Read original →
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Retro expands Phase I trial of RTR242 to 108 volunteers in Australia Retro will add two high‑dose cohorts and increase its Phase I study of RTR242 to 108 participants in Australia. The trial enrolls healthy adults aged 18–65 years. This expansion follows the initial dosing that began earlier this year. The company is adding 32 participants and two new dose‑escalation groups to better define the dose for further clinical development. These groups will help Retro select the optimal dose for subsequent trials. The move aims to pinpoint a tolerable level that can be taken forward. On August 26, CEO Joe Betts‑Lacqua told Business Insider that the study would grow from 76 to 108 volunteers. In May Retro announced the first human administration of RTR242. Since that start, the company has been expanding enrollment and raising doses. Betts‑Lacqua explained that early tolerability testing has not yet revealed an upper dose limit, so the team must find a level participants can tolerate and carry into later studies. He said, “This is for us in some sense both a curse and a blessing: because of this it’s a bit harder to assess the moment when we can say: ‘hurray, the drug works’.” Retro describes RTR242 as a small‑molecule compound that enhances autophagy — the process whereby a cell delivers damaged proteins and cellular components to lysosomes for breakdown. In lysosomes, the acidic interior degrades this cargo into reusable building blocks. The company expects RTR242 to restore lysosomal acidity and make this recycling more efficient. Full Robbins, a biochemist at the University of Minnesota, called lysosomes an intriguing target for intervention. With the additional 32 participants, Retro widens the dose range from which it will choose the level for further development of RTR242. 🔗 Read original →
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We need to translate Russian news post into natural English, format per rules. First line: short headline under 90 chars, no markdown. 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. Let's extract facts: - João Pedro de Magalhães (note spelling: "Жуан Педру де Магальяйнш" -> "João Pedro de Magalhães"). - He hypothesized that cancer protection may limit regeneration. - On August 27 he hypothesized: developmental transitions could limit tissue restoration to reduce cancer risk. - On August 22 Michael West asked whether a short reprogramming signal would suffice to restore large damaged tissue. - Magalhães added safety condition: returning regenerative ability could weaken tumor protection. - Partial reprogramming temporarily returns adult cell to a younger gene expression mode while preserving specialization. - To repair damaged tissue, cells need to divide and build new structure. - This growth simultaneously requires control: uncontrolled division forms tumor. - In the post, which references an article in Nature Reviews Cancer, Magalhães formulated hypothesis: "One of the reasons why developmental transitions limit regenerative capacity is, as I suppose, to reduce cancer risk." - By this evolutionary hypothesis, natural selection could have preserved mechanisms that reduced cancer risk in young organism. - These same mechanisms stop dangerous cell division and after tissue damage may restrain its regeneration. - Two animal experiments show such conflict in specific systems. - In a 2010 study on mice, the MRL line, which has good ear-hole regeneration, ear connective tis
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LessWrong user links egg freezing to family planning decisions On 26 August, LessWrong user boba_girl wrote a note following the June Reproductive Frontiers conference, linking egg and embryo freezing to family‑size planning. She views oocyte cryopreservation, embryo creation, and polygenic screening as interconnected decisions about timing, partner choice, and the number of possible births. She starts from her personal situation: she wants children but is still looking for a partner. “I think that once I find a partner I will also try to freeze some embryos,” she writes. Until then, storing eggs buys her time to choose a partner. Embryos are created after a partner appears, and their number helps the family envision how many birth attempts they could plan. Thus, her reasoning links the choice between eggs and embryos to two goals: preserving freedom to choose a partner and anticipating the possible embryo stock. On the consumer market for polygenic screening, the procedure looks like a series of IVF cycles, genetic testing, and selection. boba_girl starts this chain earlier, asking what options can be preserved before embryos exist. Polygenic ranking compares the resulting embryos using statistical forecasts of disease risk and certain complex traits derived from genetic data. The number of viable embryos determines both the number of comparison options for that ranking and the number of potential birth attempts. In her note, reproductive technology enters family planning step‑by‑step: first freeze eggs, then decide with a partner about embryos, and finally choose among those that are obtained. 🔗 Read original →
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We need to translate Russian text into English, format: first line 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 Chemical Biology, August 26, 2024? Actually date given: 26 августа в Nature Chemical Biology вышла работа о BrainCAB — метке на основе бринзоламида. So citation: Nature Chemical Biology, August 26, 2024? The year not given but likely 2024? The original Russian says "26 августа в Nature Chemical Biology вышла работа". No year given; we can just put Nature Chemical Biology, August 26 (no year). But we need to preserve facts exactly: date is 26 августа. We'll translate to August 26. No year given, so we omit year. We need to wrap key numbers etc: e.g., BrainCAB tag based on brinzolamide, one chemical step, concentration ~8 times higher, 20 mg/kg dose, Car4 gene, etc. Must be selective: at most 4-5 double asterisk wrapped facts. Choose: BrainCAB tag based on brinzolamide, one chemical step, concentration ~8-fold higher, 20 mg/kg dose, Car4 gene knockout. That's 5. Wrap study/journal citation in single underscores: Nature Chemical Biology, August 26. Now produce headline under 90 chars: maybe "BrainCAB Tag Enables Antibody Delivery Across Blood‑Brain Barrier in Mice and Newborn Macaques". Count characters: Let's count: "BrainCAB Tag Enables Antibody Delivery Across Blood‑Brain Barrier in Mice and Newborn Macaques". Count: B(1) r2 a3 i4 n5 C6 A7 B8 (space9) T10 a11 g12 (space13) E14 n15 a16 b17 l18 e19 s20 (space21) A22 n23 t24 i25 b26 o27 d28 y29 (space30) D31 e32 l33 i34 v35 e36 r37 y38 (space39) A40 c41 r42 o43 s44 s45 (space46) B47 l48 o49 o50 d‑51 B52 r53 a54 i55 n56 (space57) B58 a59 r60 r61 i62 e6
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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 must preserve all facts, numbers, names, citations exactly. No commentary. We need to identify key facts: numbers: 25,306 images, 40 tissue types, 970 donors, age 21-70 years, 15 tissues reliable trajectories, arteries peak at 30s, uterus/vagina early/mid 50s, digestive tissues, prostate, testes two peaks ~30 and ~50 years, three other algorithms, etc. Also mention date: 31 August in Nature Aging (the work came out). Actually text: "31 августа в Nature Aging вышла работа о PathStAR". So date: August 31, publication in Nature Aging. Could wrap date in double asterisks? It's a date. Also maybe wrap the number of images, donors, tissues, etc. But limit to 4-5 double asterisks total. We need to be selective: maybe highlight: 25,306 images, 970 donors, 15 tissues, 30s (arteries), early/mid 50s (uterus/vagina), ~30 and ~50 years (digestive, prostate, testes). That's many. Need max 4-5. Choose most important: number of images, number of donors, number of tissues with reliable trajectories, peak ages for arteries, peak ages for uterus/vagina. That's 5. Alternatively we could include date as double asterisk? But date is also important. However we need max 4-5. Let's decide: include 25,306 images, 970 donors, 15 tissues, arteries peak in the 30s, uterus/vagina peak in early/mid‑50s. That's 5. We must not wrap whole sentences; just wrap the fact inside double asterisks, not the whole sentence. Eg: "The study analyzed 25,306 images..." That's okay. Now c
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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 citations: The text mentions "27 августа в Science вышла работа о конкурсе OpenKnot". So citation: Science, August 27? Actually date: 27 августа (August 27). Should we keep date? It says "27 августа в Science вышла работа". So we need to wrap the citation in single underscores: Science, August 27. Also maybe mention "OpenKnot" contest? Not a citation. Also mention "SHAPE" as a method, not citation. Also mention "cryo-electron microscopy". Not citation. We need to wrap key numbers etc in double asterisks. Let's identify important facts: - Algorithms and participants achieved score 90 out of 100 on 19 out of 20 targets in each of two new rounds. - In first round: six AI methods and Eterna participants worked on 17 targets; most algorithms lagged behind humans. - In second round: participants got RNet in interface; AI methods updated with its predictions. - Then two new sets of 20 targets each, one set with RNA length up to 240 nucleotides. - In both sets, AI and Eterna participants found solutions scoring 90/100 for 19 targets. - For 19 out of 20 targets of third round, at least one design showed recovery of at least 80% of specified stems. - Three molecules, whose sequences were proposed by AI methods, were investigated by cryo-electron microscopy; in all three, seven intended stems were visible. - On two most detailed maps, additional pairs
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Longevity Survey Database 'Who Wants to Live Forever' Released On August 31, database creator Maxim Elison announced the release of version 1.1.3 of the 'Who Wants to Live Forever' registry, which links longevity percentages to specific questions and their sources. The registry contains 185 sources, 2,404 numerical observations, and 37 charts, storing for each result the exact question, conditions, and primary source. The dashboard includes two U.S. records from 2025 about living to 100 years. In one survey respondents name their desired age, with 30% selecting 100. In another, a yes/no question receives agreement from 49% of participants. A different pair shows 57% wanting to reach 1 🔗 Read original →
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AI‑Driven AutoDiscovery Finds Immune Signal in Lobular Breast Cancer On 27 August, Ai2 and Providence Swedish reported work in which the AutoDiscovery language model searched breast‑cancer data for testable hypotheses; oncologist comments narrowed the search, and one signal was later validated in independent data and tumor tissue. Lobular cancer was compared with the more common ductal type using the open TCGA database, which contains 1,097 cases with tumor type, mutations, gene activity, and treatment outcomes. AutoDiscovery generates hypotheses, plans analyses, writes executable Python code, runs calculations, and highlights results that most shift its hypothesis score; researchers receive the hypothesis, analysis, and code to reproduce the check. In the SetScope study, two coding errors altered results enough for the author to retract them. The first run examined only table descriptions and tested 100 hypotheses, which reviewers deemed unsuitable for clinical interpretation, prompting the oncologist to comment on 26 positive findings. A second run evaluated 500 hypotheses. Among the 13 top‑scoring results from the second run, the third‑ranked hypothesis proposed higher activity of PDCD1 and CD274 in lobular tumors. PDCD1 encodes the PD‑1 receptor and CD274 encodes the PD‑L1 ligand; their interaction suppresses T‑cell attack on the tumor. Using the METABRIC database, the authors selected hormone‑sensitive, HER2‑negative primary tumors: 696 ductal and 74 lobular. Both genes showed slightly higher expression in lobular tumors. They then stained 12 lobular tumor samples and six normal tissue samples to distinguish cell types, finding more CD8⁺ and CD4⁺ T cells bearing PD‑1 in the stroma surrounding lobular cancers. Oncologist Kelly Polson described the sequence in the partnership announcement: “AutoDiscovery helped us see a promising signal we might otherwise have missed; we then checked it on additional data sets and in the lab.” The earlier GELATO 2
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1 September 2026
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Light‑softening gel lets researchers control crypt division in mouse intestinal organoids On 29 August, researchers published a study in Advanced Science describing how a light‑softening hydrogel enabled precise control of crypt division in mouse intestinal organoids. The organoids are three‑dimensional models of the intestinal epithelium that contain stem‑cell‑rich crypts. In normal growth or repair, a crypt can split into two daughter crypts, but in standard organoids this splitting occurs randomly, making it hard to follow a single structure from start to finish. They placed the organoids in a soft gel that a laser can locally soften. First, the laser created a single channel for one crypt; after three days, two V‑shaped channels were made at its base. The tissue grew into the softened regions, allowing the researchers to set the time and place of division and to watch one crypt develop into two 🔗 Read original →
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We need to translate Russian news post to English, format: first line headline under 90 chars, no markdown prefix. 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). Must preserve facts, numbers, names, citations exactly. No commentary, no invented detail. No source link. We need to extract facts: date: 29 August (presumably 2024? Not given year. The text: "29 августа в Advanced Science вышла работа о мышиных кишечных органоидах". So date: August 29 (year not given). Could be 2024? Not specified. We'll keep as "August 29". Might need year? The original Russian didn't include year. We'll just keep "August 29". Might be ambiguous but we preserve exactly as given: "29 августа". In English: "August 29". We'll not add year. Important facts to bold: numbers: 184 organoids, ~70% formed daughter crypts, ~85% of successful divisions had short/long daughter length ratio >=0.7, channel widths 50 and 70 micrometers, gene Myh9, myosin IIA, maybe also "light‑softening gel". We need at most 4-5 bolded facts. Choose: 184 organoids, ~70%, ~85%, 50 and 70 micrometers, Myh9 gene. That's 5. Citations: need to wrap study/journal citation and publication references in single underscores. The work published in Advanced Science on August 29. So we need "Advanced Science, August 29". Also maybe mention "2025 year work"? The text: "В работе 2025 года часть нынешней команды уже пользовалась светочувствительным гелем...". That is a citation to a 2025 work. We need to wrap that as well: maybe "2025 work" but better: "some 2025 study" but we need to keep exact reference: "В работе 2025 года". So we can put "2025 work" but we need to preserve the fact that it's a 2025 work.
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2 September 2026
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We need to translate Russian news into English, format with headline line under 90 chars, then blank line, then body paragraphs (2-3 sentences each) separated by blank lines. Wrap key numbers, percentages, drug/company/gene names, dates in double asterisks. At most 4-5 per post. Wrap study/journal citations and publication references in single underscores. We need to identify key facts: FATE DNA editor, described August 31 in Nature Communications. Gene LMNA, progerin, farnesyl. Numbers: 322 of 323 progerin-positive muscle cells, 8.55% editing efficiency. Possibly also mention date August 31. Also maybe mention Hutchinson-Gilford progeria syndrome. Also mention FATE replaces one letter in LMNA tail. Also mention lipid nanoparticles. We need to select at most 4-5 double asterisk wrapped facts. Choose: August 31, Nature Communications, 322 of 323, 8.55%, maybe FATE? But gene names also need double asterisks? The rule: wrap the few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. So gene names like LMNA, progerin, farnesyl, FATE could be considered important. But we need to be selective, at most 4-5 total. So we need to decide which to highlight. Probably include: August 31, Nature Communications, 322 of 323, 8.55%, and maybe LMNA or FATE. But we need to keep within 4-5. Let's pick: August 31, Nature Communications, 322 of 323, 8.55%, LMNA. That's 5. Now citations: study/journal citations and publication references in single underscores. So we need to wrap the journal name and date: Nature Communications, August 31. Or maybe Nature Communications and date separate? The rule: wrap study/journal citations and publication references in single underscores (e.g. Nature Aging, July 2026). So we should put the whole citation: Nature Communications, August 31. That satisfies. Now we need to produce headline under 90 chars, no markdown, no prefix '#'. Something like: "DNA editor FATE detaches progerin from nuclear e
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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. Wrap study/journal citations and publication references in single underscores (e.g. Nature Aging, July 2026). We need to preserve facts, numbers, names, citations exactly. No added commentary. We need to identify key facts: date 31 августа (August 31) in Nature Communications described FATE. Gene LMNA, progerin, farnesyl, etc. Numbers: 322 of 323 progerin-positive muscle cells lacked γH2AX foci; 53BP1 retained at nuclear envelope. Also editing efficiency max 8.55% after ten days. Also maybe mention Hutchinson-Gilford progeria syndrome (HGPS). Also mention that FATE replaces one letter in LMNA tail. Also mention lipid nanoparticles delivering mRNA. We need to select at most 4-5 double-asterisk facts. Choose: date (August 31), journal Nature Communications, gene LMNA, progerin, farnesyl, numbers 322/323, editing efficiency 8.55%, maybe Hutchinson-Gilford progeria syndrome. But we need to be selective: at most 4-5. Let's pick: August 31, Nature Communications, LMNA, progerin, farnesyl, 322 of 323, 8.55%. That's many. Need max 4-5. Let's choose: August 31, Nature Communications, LMNA, progerin, 8.55% maybe also 322 of 323. That's 6. Need reduce. We can combine some: maybe we can put date and journal together? But each double asterisk wraps a fact; we could put "August 31 in Nature Communications" but the citation should be underscores, not double asterisks. So date could be double asterisk, journal underscores. So date August 31 is one. Journal Nature Communications is underscores (not counted). Then we need gene name LMNA maybe double asterisk? Could be considered important. Progerin
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C
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CAR-T cells may show second receptor before first recognizes target On August 31 the authors posted a preprint describing a two‑step CAR‑T strategy in which the synthetic SynNotch receptor detects high HER2 density and then activates a CAR that kills the target. In some T cells the CAR appeared on the surface before the SynNotch signal arrived. In three different constructs the basal CAR surface level was measured at 6%, 2%, and 0.2% of resting T cells. The construct with the highest background (6%) showed the poorest ability to discriminate between high‑ and low‑HER2 cells. In a two‑tumor mouse model the high‑background construct reduced both high‑ and low‑HER2 tumors. After binding HER2, CAR triggers T‑cell proliferation, so even a small initial CAR‑positive fraction can shape the whole population. The authors’ mathematical model incorporated the fraction of such cells, HER2 density, and the T‑cell‑to‑target ratio; experiments indicated that optimal discrimination required different T‑cell doses for each construct. To lower basal CAR expression they attached the mScarlet tag to the CAR C‑terminus, which cut the background by about 60% while preserving signal‑induced CAR. Degron tags reduced background further in culture, but T cells bearing degrons lost cytotoxic activity more quickly after CAR activation. In mouse models, mScarlet improved discrimination, suppressing high‑antigen tumors while low‑antigen tumors continued to grow. For the two‑step CAR‑T design, both the timing of CAR expression and its residual level after proper signaling are crucial. Rohelo Hernandez‑Lopez et al., 2021 🔗 Read original →
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