AgingResearch.News

Use this to find the papers themselves: when the user asks which studies exist or what papers say on a subject in the biology of aging or an age-related disease, often without the word aging: senolytics, epigenetic clocks, partial reprogramming, mitochondria, NAD+, immune aging, ovarian aging and menopause, neurodegeneration, sarcopenia, long-lived species. Pass 2 to 4 key terms, not the question: "rapamycin lifespan humans", not "does rapamycin extend lifespan in humans". Searches the titles and abstracts of every paper AgingResearch.News has read, best match first, by default only papers about aging. Supports "quoted phrases", OR, -exclusions and the filters below. When the terms together find fewer than 3 papers, the results match all but one of them (relaxed: true). The record is not all of PubMed: no match does not mean no study exists. Not for personal medical advice, symptoms or product recommendations. Read one in full with get_paper.

Use this when the user asks what is new: the latest papers in a field, of a study type such as randomized trials, on a body system, or by one author (a name, or an author_id from get_paper). Newest first by the date AgingResearch.News added them, with search_papers' filters and an optional words filter. For the papers that best answer a question, use search_papers.

Use this when the user wants one paper in depth: what it did and found, in which species and how many subjects, its caveats, who wrote it and where they work. Takes a paper id such as MED-42823970 from another tool's results, or the paper's own DOI, PMID, PMCID, arXiv id or a link to it. Returns how it bears on aging, the language it was published in with its own-language title when that is not English, every author with ORCID iD and institutions, its full story (headline, body, why it matters, caveats) when published, the drugs, genes and processes it studies and its findings, and a link to the paper at its source. It does not replace the paper.

Use this when the user wants a readable round-up of recent findings: this week in aging research, the notable results in a field, a list for a journal club. AgingResearch.News's plain-language stories about new papers, newest first, each checked against its paper and given with it. For every paper on a question, use search_papers.

Use this to find the type and key of what a question names (a drug, supplement or diet, a gene or protein, a biological process, a disease, a biomarker, an organism, a method or a hallmark of aging) before get_entity, list_claims or list_grants. Matches part of a name, a key or a known synonym, case-insensitive: the most-studied entity the words name exactly first, then the rest most-studied first, MeSH headings last, with how many papers involve each. Pass a result's type and key to get_entity.

Use this for questions about one drug, supplement, gene, process or disease: is there human evidence, has it been replicated by independent labs, in which species, which trials test it and how many posted no results, who funds it and which companies are tied to it. Takes a type and key from find_entities (intervention rapamycin). Returns the entity and its papers, newest first, with its role in each; for an intervention, gene or process, `evidence` gives its evidence as structure, never a grade. Counts are of the papers AgingResearch.News has read, not all the literature. Not for personal medical advice or doses.

Use this when the user asks what has been found about a relation: does an intervention extend lifespan and in which organisms, what lowers a biomarker. Findings extracted from papers as subject, relation and object (rapamycin extends_lifespan in Mus musculus), with organism, effect size and the paper, newest first. Check one that matters with get_paper. Not for personal medical advice.

Use this when the user asks about clinical trials on aging or an age-related condition: what is recruiting, what changed lately, which trials test a drug, which companies run them. Trials that bear on human aging, newest registry update first, with phase, status, sponsor, size, conditions, interventions and the latest change. Read one with get_trial.

Use this when the user asks about one clinical trial by its registry number (NCT, ISRCTN, ChiCTR, CTRI, CTIS and others): its design, outcomes and dates, every change recorded and the papers that cite it. Show a WHO ICTRP record with its attribution and the day WHO processed it.

Use this when the user asks about events in aging research and the longevity industry: financings and deals, trial readouts, approvals, policy, conferences. One story per event, newest first, with a link to every outlet that covered it. Not for general or market news.

Use this when the user asks who funds work on a target, drug, process or lab, how much and since when. Aging research grants from NIH, the EU (CORDIS), UKRI and Wellcome, newest award first: title, funder, holder, investigators, amount, period and a link to the record. For company financings use list_news.

Use this when the user asks which meetings on aging research and age-related disease are coming up or were just held. The conference calendar, soonest first, then recent ones, each edition with its dates, place and abstracts held. Read one with get_conference.

無需輸入參數。

Use this when the user asks about one meeting from list_conferences, or what was presented there: its organizer, site and editions; with `edition`, that edition's abstracts most worth reading, each with the paper it was later published as. An abstract is not a peer-reviewed paper.

Use this when the user asks which drugs or therapies are in development against a target, mechanism, hallmark of aging or age-related disease, who develops them and how far each has got. Drug and therapy programs, furthest stage first, with developers, partners, code names, modality, targets, mechanism, indications with stages and lifespan evidence. Read one with get_asset; count them with count_pipeline. A plan that includes drug and therapy programs reads every record in full; others read an outline, as on the site.

Use this when the user asks about one drug or therapy program by its name or a code name (UBX-1325, BMS-986278): developers and partners, targets, mechanism, modality, indications with stage and source, lifespan evidence, published research, designations (orphan, breakthrough, fast track, PRIME), patents and exclusivity, development status by country, the next catalyst (a PDUFA date, an advisory committee, a readout) and the newest events from filings and regulators. A plan that includes drug and therapy programs reads every record in full; others read an outline, as on the site.

Use this when the user asks how many drug and therapy programs there are, or how a field's pipeline splits. Counts programs by stage, modality, target, hallmark, indication, the developer's country or the developer, each group by stage. Takes list_assets' filters: by=target with indication=obesity counts the targets of obesity programs. A plan that includes drug and therapy programs reads every record in full; others read an outline, as on the site.

Use this when the user asks to follow a drug, gene, process, disease or other entity on AgingResearch.News, so its new papers reach them in For you and the daily follow email. Takes a type and key from find_entities or get_entity.

Use this when the user asks to stop following an entity on AgingResearch.News. Takes a type and key from list_follows, find_entities or get_entity.

Use this when the user asks what they follow on AgingResearch.News: entities and saved searches, newest first, each with its page; an entity's id is the type:key unfollow takes.

無需輸入參數。

Use this when the user asks about questions they asked AgingResearch.News (Ask) before: their recent conversations, newest first, each with its title and address.

Use this when the user wants a written, cited answer rather than a list of papers, to a research question on the biology of aging, longevity interventions, age-related disease, or the people and companies of the field (does rapamycin extend lifespan in people, who works on epigenetic clocks). For the papers themselves, use search_papers. Not for personal medical advice, doses or symptoms. Answers in about 350 words from AgingResearch.News's record of papers, trials, approvals, lifespan results, genetics, researchers and companies, with numbered sources, and says when that record is thin. Spends one of the user's Ask questions for the day. Pass conversation_id for a follow-up. If the answer is not ready in the call, read it with get_ask_answer.

Use this when the user asks for a full review of the evidence on a research question in aging or longevity, beyond a short answer. Not for personal medical advice, doses or symptoms. Writes over several minutes a review in five sections: the bottom line, the evidence by kind of study, contradictions and gaps, how far it has got toward patients, what would change the answer. Counts against the user's Ultradeep reviews. Returns at once with the conversation's address and a question_id for get_ask_answer.

Use this when ask_arn or start_ultradeep said an answer is still being written, or the user wants it again: the answer with its numbered sources once written, else where it stands. Waits up to 20 seconds for a short answer nearly done; an Ultradeep review takes several minutes.