Clinical & trials
Clinical trial matching software, built as specialist agents.
Match patients to trials, run calculator-guided risk prediction, and draft compliance-aware consent documents — evidence-backed agents with publications in Nature Communications and JAMIA.
Not for clinical decision-making
Outputs are intended for research support and workflow acceleration. They should be reviewed by qualified experts before being used in clinical or regulatory decisions.
Clinical & trials agents
Recruitment, risk, and regulatory documents.
20minds Co-Scientist
Our Co-Scientist acts as a collaborative partner designed to work side by side with computational scientists in healthcare, engineering, or product. It offers fast, interpretable, and actionable insights from your and public data. It is named after the Border Collie which is known to herd with intelligence, agility, and responsiveness.
Patient-to-trial matching assistant with retrieval and eligibility scoring.
TrialGPT helps match patients to relevant clinical trials by screening many studies, checking eligibility criteria, and ranking the best trial options. It is designed to reduce the manual effort of trial recruitment by narrowing a large trial database to a smaller, high-quality candidate list and explaining why a patient may or may not qualify. This can help research teams review options faster and improve recruitment workflows.
Jin et al. (2024). Matching patients to clinical trials with large language models. Nature Communications, 15, 9074.
Clinical risk prediction assistant backed by large calculator toolkits.
AgentMD is a clinical decision-support agent that finds and runs medical risk calculators (for example, triage and prognosis scores) from the research literature. It was built from a curated library of more than 2,000 executable clinical calculators and can automatically choose the right one for a patient case, delivering more accurate risk predictions than a general chatbot baseline. It can also aggregate results across many records to support hospital-level quality and risk management analysis.
Jin et al. (2025). AgentMD: Empowering language agents for risk prediction with large-scale clinical tool learning. Nature Communications, 16, 9377.
Clinical and regulatory document generator with iterative write-review-revise loops.
InformGen is an AI-assisted drafting workflow for clinical research documents, especially informed consent forms written for patients. It is designed for high-stakes, compliance-sensitive settings and uses retrieval plus structured review steps (with human oversight) to improve regulatory compliance and factual accuracy. Compared with using a general-purpose model alone, InformGen aims to produce safer, clearer, and more compliant consent documents from complex clinical trial protocols.
Wang et al. (2025). Compliance and factuality of large language models for clinical research document generation. Journal of the American Medical Informatics Association.
Frequently Asked Questions
Which agent should I use for clinical trial matching?
TrialGPT is the main agent for patient-to-trial matching and eligibility-oriented workflows. It is designed to retrieve candidate trials, evaluate criteria relevance, and help rank likely matches for faster screening.
Is this intended for clinical decision-making?
No. Outputs are intended for research support and workflow acceleration. They should be reviewed by qualified experts before being used in clinical or regulatory decisions.
Can these agents run code and analyze uploaded files?
Yes. You can upload datasets, run iterative analysis, generate figures, and review intermediate outputs in the same workspace.
Have a question? Please get in touch.