Exclusive for NIH Researchers
Workshop | Transforming Research Discovery: AI‑Enhanced Insights, Connections, and Collaboration in Biomedicine
Limited seats available — reserve yours now!
September 12, 2025
1:45–2:45 PM
NIH, FAES, Bethesda Campus, Bethesda, MD
Join us for a live, interactive session demonstrating how AllSci accelerates hypothesis generation, uncovers hidden insights, and connects researchers across institutes—purpose-built for NIH scientists.
What You’ll Gain
Live Platform Demo
See AI-driven hypothesis generation in action
Hands-On Exploration
Use the platform on your own research questions
Collaborative Discovery
Identify new connections and collaborators
Personalized Research Paths
Discover AI-curated suggestions for your next steps
Reserve Your Spot
Register now, and on the day of the workshop, we’ll unlock 7-day Pro Access just for NIH attendees — giving you access to advanced analytics, exploration tools and so much more.
By submitting this form you agree to receive workshop updates and platform communications. Pro access will commence the day of the workshop (September 12, 2025) and conclude 7 days after.
Trusted by leading scientists and top biopharma companies worldwide.
Meet the Facilitators
Tammy Hanna, Ph.D.
Product Director @ AllSci
Chemistry Ph.D., Cornell
Translational Research Leader, Industry–Academia Collaborator
Eva Szarek, Ph.D.
Director of Marketing @ AllSci
Molecular Biology Ph.D., Australia & ex-NIH Fellow
Life Sciences Strategy & Communications Expert
See AllSci in Action
Watch our 2-minute demo video and explore how AllSci accelerates biomedical discovery.
Understand how researchers like you are generating novel hypotheses, uncovering key insights, and connecting with collaborators—all powered by AI.
NEW: Clinical Trials Exploration
Move beyond static trial registries. With AllSci’s Explore Clinical Trials feature, you can filter active and past clinical trials by condition, company, keywords, or title — and overlay them with hypotheses and publications for deeper insights into translational research, trial feasibility, and unmet need.
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