Query 200M+ papers in natural language. Synthesize findings with specialized Bio-LLMs. Verify every claim against the original source. One continuous flow — from question to manuscript.
See It In Action
Watch how OpenBioCure connects evidence to action in one continuous flow.
Product Demo Video
The Problem
Today's research workflow is stitched together from disconnected tools. You search in one, synthesize in another, verify in a third, and write in a fourth. Every context switch introduces friction — and the risk of missed evidence.
How It Works
From your first query to your final manuscript — everything happens in one place, with every claim linked to its source.
Search 200M+ papers across PubMed, arXiv, ClinicalTrials.gov, Europe PMC, and NIH with natural language queries.
Bio-LLMs identify patterns, contradictions, and evidence gaps — with transparent reasoning chains.
Every claim is inline-cited. Click any citation to see the original source text in seconds.
Export publication-ready manuscripts with formatted citations and a full evidence audit trail.
The Trust Layer
This is the moment that changes everything. Every claim OpenBioCure generates is linked directly to its source. Click any citation to see the original passage, the study metadata, and the full context.
No more copying DOIs into new tabs. No more guessing whether the AI invented a reference. The evidence is right there — inline, instant, verifiable.
Recent studies indicate that acquired resistance to PD-1 inhibitors in non-small cell lung cancer may involve upregulation of alternative immune checkpoints, particularly TIM-3 and LAG-3 [Chen et al., 2024]. This suggests combination checkpoint strategies may overcome single-agent resistance in approximately 30–40% of previously progressing cases.
Chen, L. et al. (2024)
“Adaptive immune checkpoint resistance in NSCLC: mechanisms and therapeutic implications”
Journal of Clinical Oncology, 42(8), 1124–1138
Practice Optimization
Transform dense guidelines and scattered evidence into actionable protocols, optimized workflows, and audit-ready documentation.
Convert vague guidelines into specific, actionable protocols with decision trees and structured workflows.
Synthesize comparative evidence across technique variables to identify evidence-backed optimizations.
Screen for evidence-based interactions and contraindications across complex scenarios.
Synthesize recommendations from multiple guidelines and standards bodies simultaneously.
Instant gap analysis against current standards with AI-drafted revisions and audit trails.
Create decision trees, quick-reference cards, and onboarding guides from synthesized evidence.
Traction
Pilot results from real research and practice environments.
Who It's For
From senior academics managing complex literature reviews to junior researchers learning to build defensible hypotheses.
A university researcher in translational oncology juggles patient consultations, grant applications, and manuscript deadlines. She's tried multiple AI tools — each falls short on verifiability.
With OpenBioCure
Every claim is inline-cited and click-verifiable. Her workflow collapses from four separate tools into one continuous flow — from query to verified manuscript draft.
A medical student starting his first independent research project. There's a gap between reading papers and reasoning through them. Chat AI gives confident answers with no foundation.
With OpenBioCure
OpenBioCure shows what's supported, what's contradicted, and where the gaps are — with transparent reasoning that traces back to studies.
Data Sources
Every query searches across the most trusted and comprehensive biomedical databases available.
About OpenBioCure
OpenBioCure was built to close the gap between what we know and what we do — in research labs, in professional practice, and in the systems that turn evidence into better outcomes.
We envision a healthcare ecosystem where knowledge flows seamlessly, discoveries happen faster, and care is safer — powered by AI that is transparent, traceable, and collaborative.
Accelerate biomedical research and improve professional practice by combining advanced AI with evidence-based infrastructure. Empower researchers, professionals, and organizations to transform raw data into actionable knowledge that saves lives.
A multidisciplinary team spanning AI, biomedical research, product design, and platform engineering.

Leading OpenBioCure's vision and strategy. Focused on building the bridge between biomedical evidence and actionable outcomes at scale.

Architecting the platform's AI infrastructure, evidence verification systems, and multi-source data pipelines that power OpenBioCure.

Leading engineering execution across the platform. Building scalable, reliable systems for biomedical research infrastructure.
Every output is traceable. Every reasoning chain is visible. We build trust through openness, not obscurity.
We believe the biggest problems in biomedicine require cross-disciplinary collaboration and shared infrastructure.
We don't generate answers — we surface evidence. The professional stays in control. The AI stays honest.
Join the pilot and experience one continuous flow — from your first query to a verified, publication-ready manuscript.