Industry Affiliate Partners Program
Partner with Stanford's Center for AI Innovation in Digestive DiseaseThe Stanford GI Artificial Intelligence Network (GAIN) brings together leading GI clinicians, data scientists, and engineers to accelerate AI-driven discovery in gastroenterology — and we’re inviting device vendors, AI companies, and life sciences partners to shape that future alongside us.
Real World Evidence
GI faculty & fellows
Linked Stanford AI centers
Roadmap to national leadership
About GAIN
A Dedicated Center for AI in Gastroenterology — at Stanford
The Stanford GI Artificial Intelligence Network (GAIN) is a newly established center within the Division of Gastroenterology designed to centralize AI, data science, and partnership infrastructure for GI research and clinical innovation. GAIN provides every faculty member and fellow with shared resources for data access, AI tooling, and translational pathways — eliminating the friction that has historically limited the pace and scale of GI discovery.
The Industry Affiliate Partners (IAP) program is GAIN’s structured pathway for companies to engage with Stanford’s GI faculty, datasets, and clinical infrastructure. Membership provides unrestricted support for GAIN’s research, education, and operational activities, while opening direct channels to Stanford’s GI ecosystem.
Member applications are accepted year-round. A three-year commitment is expected under Stanford University’s policies for Industry Affiliates Programs.
Real World Data Analytics
AI Infrastructure
Partnerships & Translation
Education & Culture
AI in GI conference, grand rounds, fellow & faculty training
Why Partner with GAIN
The GI AI Partnership That No Other Academic Center Can Offer
GAIN sits at the intersection of Stanford’s clinical data infrastructure, deep GI clinical expertise, and world-class AI research capability. For industry partners, this combination is rare — and directly actionable.
Unmatched GI Data Access
Partners gain facilitated pathways to one of the nation’s richest GI clinical datasets — Epic Clarity, Cosmos, procedure registries, biobanks — for clinical validation, algorithm training, and real-world evidence generation.
Faculty-Led Research Collaboration
Direct access to Stanford GI faculty for co-authored studies, clinical validation trials, and sponsored research agreements — from endoscopy AI to IBD biomarkers to colorectal cancer screening tools.
Accelerated Clinical
Validation
GAIN’s embedded data scientist support, IRB pathways, and GI clinical trials infrastructure cut validation timelines significantly. Move from algorithm to clinical evidence faster than anywhere else.
AI Ecosystem at Stanford
GAIN partners gain warm introductions to Stanford HAI (Human-Centered AI Institute), the Center for Digital Health, AIMI (AI in Medicine and Imaging), and top-tier Stanford engineering labs.
National GI Network
GAIN’s partnerships with the American Gastroenterological Association (AGA), ASGE, and multi-center consortium connections give industry partners reach across the national GI research community.
Talent Pipeline & Recruitment
Access Stanford’s graduate students, postdocs, and GI fellows — a uniquely skilled pipeline combining clinical GI knowledge with AI and data science training — for recruitment and early collaboration.
Who Should Join
Tailored Value for Three Categories of Industry Partners
Device & Endoscopy Vendors
→ Clinical validation of AI-assisted endoscopy tools (polyp detection, Barrett’s, ESD)
→ Access to GI procedure video datasets and annotated clinical records
→ IRB-supported human factors and usability studies
→ FDA regulatory evidence generation in a real-world clinical setting
→ Co-authorship on landmark validation publications
AI & Health Technology Companies
→ Algorithm training and evaluation on curated GI clinical datasets
→ Prospective clinical pilot programs within Stanford GI clinics
→ Access to secure Stanford AI compute infrastructure
→ Co-development of responsible AI frameworks for GI applications
→ Licensing and commercialization pathways via Stanford OTL
Life Sciences & Pharma Companies
→ AI-augmented clinical trial design for GI indications (IBD, CRC, NASH/MASH)
→ Patient cohort identification and enrichment via real-world GI data
→ Biomarker discovery and validation using multi-omic GI datasets
→ Drug response prediction modeling for GI therapeutics
→ Sponsored research in GI pharmacogenomics and precision medicine
Membership & Fees
Four Levels of Partnership — Annual Membership with 3-Year Commitment
All tiers provide unrestricted support for GAIN’s research, teaching, and administrative activities. Higher tiers unlock project-level collaboration and governance opportunities.
Basic
- Acknowledgment on GAIN website & publications
- Facilitated meetings with GAIN faculty
- Invitations to GAIN events, seminars & AI in GI conference
- Regular research & program updates
- Student & fellow recruiting opportunities
- Research collaboration tokens
- Faculty site visit
Core
- All Basic benefits
- Faculty site visit to your company (results shared publicly)
- Regular research & program updates
- Student & fellow recruiting opportunities
- Visiting scholar placement at Stanford
- Introductions to GI-adjacent Stanford startups
- IAP Advisory Board seat
Most Popular
Strategic- All Core benefits
- 1 Research Token — dedicated GI research focus area
- Visiting scholar placement at Stanford GI / GAIN
- Warm introductions to Stanford GI startups & spinouts
- Priority access to GI dataset cohorts for clinical validation
- Co-sponsorship of AI in GI Annual Conference
- IAP Advisory Board seat
Platinum
- All Strategic benefits
- 2 Research Tokens — two dedicated project collaborations
- Seat on GAIN IAP Advisory Board
- Named sponsorship opportunities (conference, fellowship, lab)
- Early access to GAIN IP and commercialization pipeline
- Joint press release & public announcement with Stanford GI
- Dedicated introductions to OTL for licensing discussions
Benefits Comparison
Full Membership Benefits Matrix
| Benefit | Core $50K |
Associate $100K |
Strategic $150K |
Principal $250K |
|---|---|---|---|---|
| Visibility & Recognition | ||||
| Acknowledgment on GAIN website & publications/presentations | ✓ | ✓ | ✓ | ✓ |
| Named sponsorship (conference, fellowship, or research program) | – | – | – | ✓ |
| Joint press release with Stanford GI / GAIN | – | – | – | ✓ |
| Access & Engagement | ||||
| Facilitated meetings with GAIN faculty and researchers | ✓ | ✓ | ✓ | ✓ |
| Invitations to GAIN events, seminars, and AI in GI Annual Conference | ✓ | ✓ | ✓ | ✓ |
| Regular research, education & program updates | ✓ | ✓ | ✓ | ✓ |
| Student, postdoc & fellow recruiting opportunities | ✓ | ✓ | ✓ | ✓ |
| Co-sponsorship of AI in GI Annual Conference | – | – | ✓ | ✓ |
| Research Collaboration | ||||
| Research Tokens (dedicated GI research focus projects) | – | 1 project | 2 projects | 3 projects |
| Faculty site visit to company (all results shared publicly) | – | ✓ | ✓ | ✓ |
| Priority access to GI clinical dataset cohorts for validation studies | – | – | ✓ | ✓ |
| Access to Stanford secure AI compute infrastructure for GI pilots | – | – | ✓ | ✓ |
| Network & Translation | ||||
| Introductions to Stanford GI startups, spinouts & adjacent labs | – | – | ✓ | ✓ |
| Visiting scholar placement at Stanford GAIN / GI Division | – | – | ✓ | ✓ |
| Early access to GAIN IP & OTL commercialization pipeline | – | – | – | ✓ |
| Dedicated OTL introductions for licensing discussions | – | – | – | ✓ |
| Seat on the GAIN IAP Advisory Board | – | – | – | ✓ |
* Faculty site visits and all information, data, and results arising from such interactions will be shared with all program members and the public. Affiliate Program members may provide additional funding above their membership tier. All research results arising from additional funding will be shared with all members and the public. GAIN uses and develops open-source software; all software will be released under an open-source model.
Research Focus Areas
Priority Areas for Industry-Sponsored Research at GAIN
Strategic and Principal members may designate research tokens toward any of GAIN’s priority focus areas, or collaborate with the GAIN Director to define a novel focus area aligned with your pipeline.
01
Endoscopy AI & Computer Vision
Polyp detection, Barrett’s esophagus surveillance, ESD assistance, and quality metrics automation using video and image AI across ERCP, colonoscopy, and upper endoscopy.
02
Inflammatory Bowel Disease (IBD)
AI-powered disease activity prediction, treatment response modeling, remission biomarker discovery, and remote patient monitoring for Crohn’s disease and ulcerative colitis.
03
Colorectal Cancer Screening & Prevention
Risk stratification algorithms, AI-assisted pathology review, microsatellite instability prediction, and population-level screening optimization tools.
04
NASH / MASH & Metabolic Liver Disease
Non-invasive fibrosis staging models, imaging biomarker development, treatment response prediction, and real-world evidence for emerging NASH therapeutics.
05
GI Microbiome & Precision Medicine
Multi-omic integration for GI disease phenotyping, microbiome-drug interaction modeling, and AI-driven patient stratification for precision GI therapeutics.
06
AI-Augmented Clinical Trials
Adaptive trial design for GI indications, AI-powered patient recruitment and eligibility screening, digital endpoints development, and real-world evidence integration.
How to Join
Four Steps to GAIN Partnership
Step 1:
Initial Conversation
Contact the GAIN team to discuss your organization’s goals, pipeline interests, and how the IAP program aligns with your research and commercial objectives.
Step 2:
Membership Application
Submit a membership application with your preferred tier. Applications are reviewed on a rolling basis throughout the year. Stanford’s standard IAP policies apply.
Step 3:
Onboarding & Introductions
Upon acceptance, GAIN facilitates introductions to relevant faculty, schedules an onboarding meeting, and activates your tier benefits including Research Token scoping.
Step 4:
Collaborate & Grow
Engage in research projects, attend events, recruit talent, and explore commercialization pathways. Annual reviews ensure your partnership goals stay on track.
Program Leadership
Meet the GAIN Team
Joo Ha Hwang, MD, PhD
Executive Sponsor, Stanford GAIN Chief, Division of Gastroenterology & Hepatology
Provides executive leadership and divisional commitment to GAIN, championing AI innovation as a strategic priority for Stanford GI research and clinical care.
Ashish Atreja, MD, MPH
Founding Executive Director, Stanford GAIN
Innovation leader with deep expertise in digital health, AI, and clinical informatics. Architect of Stanford GAIN’s research and industry partnership strategy.
Uri Ladabaum, MD
Co-Director, Stanford GAIN, Professor of Medicine (Gastroenterology and Hepatology)
Director of the Gastrointestinal Cancer Prevention Program and heads the Clinical Service of the Division of Gastroenterology and Hepatology at Stanford University School of Medicine.
GAIN Faculty Network
40+ GI Clinicians, Researchers & Data Scientists
Stanford GI faculty spanning endoscopy, IBD, hepatology, oncology, and motility disorders — each engaged with GAIN’s AI infrastructure and open to industry collaboration.
IAP Advisory Board
Principal Members & Program Steering
Principal-level industry partners sit on the GAIN IAP Advisory Board, providing strategic direction on research priorities, partnership models, and the annual AI in GI Conference agenda.
Program Policies
Transparency, Open Science & Stanford Guidelines
All GAIN Industry Affiliate Partner memberships operate under Stanford University’s Policies for Industry Affiliates Programs. Key principles include:
Open-source software: GAIN uses and develops open-source software. It is the intention of the GAIN IAP that any software developed through the program will be released under an open-source model.
Shared research results: All information, data, and results arising from faculty site visits and Research Token projects will be shared with all program members and the general public.
Additional funding: Members may provide additional funding above their membership tier to support a particular research area or named faculty member on GAIN’s website. The GAIN Director will determine how additional funding is deployed within the program’s research goals.
Commitment: A three-year membership commitment is expected. Annual membership fees are due at the start of each program year.
Visiting Scholars: Information on the Stanford University visiting scholar program is available through the Stanford VPGE office.
Ready to Partner with Stanford GAIN?
Member applications are accepted year-round. Contact the GAIN team to begin a conversation about how your organization can engage with Stanford’s GI AI ecosystem.