Stanford - Department of Biomedical Data Science

  • Home
  • News & Events
    • Research News
    • Events
    • Community Announcements
    • Weekly Seminar
      • Workshop Archives
        • Weekly Seminar Winter 2025 Archives
    • Openings in DBDS
  • People
    • Leadership
    • Department Faculty
    • Advising Faculty
    • Research Staff & Instructors
    • Administrative Staff
    • Trainees
      • PhD Trainees
      • Academic Research MS Trainees
      • Co-Terminal for Stanford Undergraduates
      • Honors Cooperative MS (HCP)
      • Postdoctoral Scholars
    • Visiting Scholars
  • Alumni
  • Academics & Admissions
    • Biomedical Data Science Graduate Program
    • For Current Students
    • For Prospective Students
    • Frequently Asked Questions
    • Warren Alpert Computational Biology & Artificial Intelligence (CBAI) Scholars
    • Online Biomedical Data Science
    • Resources for Postdocs
    • Data Science Mentoring
  • Resources & Centers
    • Data Studio
      • Data Studio Archives
    • AI in Health Training
    • Center for Cancer Systems Biology
    • Center for Innovative Study Design
    • Clinical Genome Resource
    • Research informatics Center
  • External Engagement
    • AI Frontiers of Healthcare and Medicine Summit
    • Ways to Engage
    • Collaboration and Careers Forum
      • Collaboration and Careers Forum 2024
      • Collaborators and Career Event 2023
    • Generative AI Workshops
    • Support

Nigam Shah lab’s technology leads to $33M raised to scale AI-powered real-world evidence

HomeStanford - Department of Biomedical Data Science  > Uncategorized  > Nigam Shah lab’s technology leads to $33M raised to scale AI-powered real-world evidence
photo of lightbulbs
17Jun
Posted on June 17, 2024
“Green Button” technology, which can quickly answer clinical questions—such as which drug is most effective for certain cancer patients—was developed by the Nigam Shah lab and led to raising $33M to scale AI-powered real-world evidence.
https://www.fiercehealthcare.com/health-tech/atropos-health-lands-33m-scale-ai-powered-real-world-evidence-build-out-pharma
Share Post

Recent News

  • May 12, 2025DBDS Education Committee publishes a review on graduate curriculum design
  • May 12, 2025AI Frontiers of Healthcare and Medicine Summit delivers exciting opportunity for collaboration between industry, biopharma, and DBDS
  • April 21, 2025Stanford 2025 Center for Cancer Systems Biology (CCSB) Symposium on May 1

Categories

  • Uncategorized 31
  • Research News 71
  • Community Announcements 73
  • DBDS 97
  • News Archive 23

Department of Biomedical Data Science
Stanford University School of Medicine
Mail Code: 5464
300 Pasteur, Edwards, Floor 3, R348
Palo Alto, CA 94304

Fax: (650) 497-1990
Email: dbds-operations@stanford.edu

Quick Links

  • Stanford
  • Stanford Medicine
  • Data Science Mentoring
© 2025 Stanford Department of Biomedical Data Science. All rights reserved.
site by Pendari