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ASCO 2026 · Chicago

Partner with Vanquish AI at ASCO 2026

Modular AI infrastructure for oncology programs, translational research, and industry collaborations in pancreatic cancer.
Chicago, IL
Friday–Tuesday · McCormick Place

ASCO 2026 Partnership Meetings

Explore PANDA modules for oncology, research, and industry

Meet with Vanquish AI to discuss how PANDA modules can support earlier case identification, surveillance operations, cohort development, pathology standardization, and trial enablement across cancer programs and partner networks.
Schedule a Meeting

Featured Platform

PANDA Modular Platform

Built for clinical utility, research scale, and partnership deployment
PANDA is a modular platform designed to help oncology teams identify at-risk patients earlier, operationalize surveillance, standardize case review, generate research-ready cohorts, and support trial and evidence-generation workflows.
Its module architecture supports clinical operations, translational research, and partner-facing deployment models rather than a single procedure-specific use case.
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Partnership areas

Where We’re Building with Partners

Industry partners: support trial feasibility, patient finding, endpoint-ready datasets, and real-world evidence programs.​

Health systems and networks: connect internal records, outside referrals, and de-identified multicenter data into a scalable operating layer.

Researchers: define cohorts across structured and document-derived variables, normalize data inputs, and create reusable study workflows.

Pathology and data partners: harmonize free-text pathology reads, resolve inter-reader discordance, and feed normalized outputs into downstream clinical and research systems.

Oncology programs: identify high-risk patients earlier, prioritize follow-up, and support tumor board, surveillance, and care coordination workflows.

Pathology and data partners: harmonize free-text pathology reads, resolve inter-reader discordance, and feed normalized outputs into downstream clinical and research systems.

Researchers: define cohorts across structured and document-derived variables, normalize data inputs, and create reusable study workflows.

Health systems and networks: connect internal records, outside referrals, and de-identified multicenter data into a scalable operating layer.

Industry partners: support trial feasibility, patient finding, endpoint-ready datasets, and real-world evidence programs.​

Oncology programs: identify high-risk patients earlier, prioritize follow-up, and support tumor board, surveillance, and care coordination workflows.

Modules in Focus

PANDA Modules Driving Collaboration

  • Discovery surfaces referral-worthy changes from EMR signals, outside referrals, and PANDA review to find new candidates for evaluation, surveillance, and escalation.
     

  • Surveillance supports clinic-side operational management with outreach status, ownership, urgency, overdue follow-up, and trial-status tracking.
     

  • Cohort Builder enables teams to define inclusion and exclusion logic across conditions, medications, trial participation, and RECIST-linked variables for research and operational workflows.
     

  • Pathology Normalization harmonizes interpretation across readers and sites while converting free-text pathology into structured variables for downstream use.
     

  • Structured downstream handoff supports patient review, treatment planning, research workflows, and endpoint-oriented data generation.

Collaboration model

Built for multicenter partnerships

We are pursuing partnerships with cancer centers, academic investigators, translational researchers, sponsors, and health-system collaborators interested in clinical deployment, multicenter studies, cohort development, and oncology workflow improvement.

The attached modules support collaboration models spanning de-identified research environments, operational clinical workflows, and partner-specific development pathways.

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