Itrials

iTrials (Elara agentic AI platform) — An AI-generated Patient-360 eligibility layer: for each patient, a synthesised longitudinal clinical picture (encounter history, comorbidities, treatment pathways, medication timelines with treatment responses, disease-progression patterns, and signals extracted from physician notes) evaluated continuously against converted protocol intent. The licensable byproduct is the reasoning trail: protocol text converted to executable logic (a protocol-intent-to-logic pair), per-patient eligibility determinations with the contextual evidence chain behind each, lon…

Itrials offers (Alternative, Reference) — Not published; the site's metric counters render as animation placeholders with no values. Structural estimate only: each monitored patient generates a longitudinal synthesis (encounters, meds, labs, notes extractions) re-evaluated per active protocol, so order 10^3-10^4 reasoning events per patient-year per site; at pilot scale this implies well under 10^6 events to date. Confirm live volume directly with the company..

Training LLM/agent systems to convert protocol narrative into executable eligibility logic (a labelled intent-to-logic corpus); evaluation of clinical-context reasoning versus keyword filtering — an A/B benchmark of agentic versus rule-based screening on identical charts; explainable-AI training on evidence-chained eligibility verdicts; longitudinal disease-progression and treatment-response trajectory datasets for indication modelling; screen-failure prediction benchmarking; feasibility assessment automation research. The reasoning-trail format (context, inference, verdict) is the differentiated training shape; most competing sources ship verdicts without chains.

The data is with 1 years of history.

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