Academic
Use Strength Training Research from your AI
Evidence lookup for resistance training. Searches PubMed narrowed by MeSH terms (Resistance Training, Muscle Strength), Europe PMC for open-access full text, and the wger open exercise database for target muscles and equipment. Both literature tools take a population filter, so a question about training healthy trainees is not answered from the sarcopenia and older-adult clinical literature that otherwise dominates this field, plus a study-design filter for reviews and meta-analyses. No API key required - Arlet supplies a PubMed key that raises the rate limit. For preprints, use the sports-science server, which owns the SportRxiv search.
Answers training questions from the literature instead of from folklore, and connects the findings to concrete exercises.
Tools:
- search_strength_training_studies: PubMed, narrowed with MeSH terms so a query like 'training volume' returns resistance-training work rather than general exercise or rehabilitation. Metadata and links only.
- search_strength_training_fulltext: Europe PMC, for broader coverage and abstracts of open-access articles.
- lookup_exercises_by_muscle: the wger open exercise database, listing exercises for a target muscle with category, primary and secondary muscles and required equipment.
Scoping the population: most resistance-training research is done on older adults and clinical populations, so a plain query about sets and volume returns sarcopenia and geriatric-rehabilitation papers alongside the trainee-focused work. Both literature tools therefore take population ('healthy_trained', 'older_adults', 'clinical') and study_design ('review', 'systematic_review', 'meta_analysis', 'randomized_trial') arguments. These are applied as query clauses whose exact shape was verified against the live APIs, because Europe PMC fails silently on some hand-written filter expressions - it drops MeSH terms inside an OR group and returns zero results for unparenthesized NOT chains. Prefer these arguments over writing filters into the query.
Preprints are deliberately not here: SportRxiv covers strength and endurance alike, so searching it from two servers returned identical results. That search lives on the sports-science server instead.
Abstract handling: abstracts are returned only for open-access articles under a CC license; other records carry metadata and a link, because abstract text remains the publisher's copyright. PubMed results never include abstract text for the same reason.
This server reports what studies found. It does not prescribe a training program, and it is not medical advice - anyone with an injury or a medical condition should consult a professional.
What you need
- An Arlet account
- No API key or account registration is needed. Just switch it on in Arlet.
Choose your AI client
Pick the AI client you use to see how to connect it with Strength Training Research.