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OverviewPredictive patient monitoring
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← Research02

Medicine

Intelligence systems that accelerate the pace of medical discovery — from molecular simulation for drug candidates to diagnostic systems that augment clinical judgment.

Reducing the time from hypothesis to treatment from decades to years — by giving researchers tools that reason at the speed of computation.
4
Novel Compound Families
120K
Diagnostic Encounters
94.2%
Calibration Score
23%
Diagnostic Changes
Focus Areas
01
Drug Discovery
Odyssey-driven molecular simulation identifying novel candidates for antibiotic-resistant bacteria and rare diseases.
02
Diagnostic Intelligence
Uncertainty-aware clinical AI that knows what it doesn't know — calibrated confidence over raw accuracy.
03
Personalized Treatment
Long-context reasoning over complete patient histories to surface patterns clinicians miss.
04
Clinical Partnerships
Working with hospital systems to validate and deploy AI tools that meet the standards of medical practice.
Publications
2026-03-10
Oracle Class R Discovers Novel Drug Candidates for Antibiotic-Resistant Bacteria
Using frontier reasoning and molecular simulation to identify compounds that traditional methods miss.
Webbeon Medicine Team
2026-02-20
Diagnostic AI That Knows What It Doesn't Know
Uncertainty quantification in clinical AI systems — why calibrated confidence matters more than raw accuracy.
Webbeon Medicine Team
2026-01-15
Toward Personalized Treatment: Reasoning Over Patient Histories at Scale
How Oracle Class R processes longitudinal medical data to support individualized care decisions.
Webbeon Medicine Team