Seeing the Signals: Multimodal Intelligence in Life Sciences with AWS

Life sciences teams have spent years collecting data. The problem was never volume — it was always whether the right information could be found, connected, and acted on at the moment it mattered.

This webinar shows how Reveal HealthTech, Vespa.ai and AWS solved that. Not conceptually. In production. You'll see a live demo that connects structured trial data, imaging, and free-text narratives into a single queryable system — and what that actually unlocks for research and clinical teams.

‍What You’ll See In This Demo - 

• Query across structured trial data, patient narratives, and brain scans in a single interface
• Build a specialized patient cohort using visual prompts — not SQL, not manual filters
• Surface clinical insights that keyword search and siloed tools simply can't find

Speakers

Ramesh Sridharan

Director of Machine Learning and AI, Reveal HealthTech

An AI and ML leader driving innovation from research to production for real-world impact.

Gloria Gao

Head of Applied AI Lab, Reveal HealthTech

Leads Reveal’s Applied AI Lab, transforming real-world healthcare and life sciences challenges into scalable, intelligent solutions.

Ariella Sasson 

Principal HCLS Data & AI Solutions Architect, AWS

Ariella bridges genomics, large-scale computation, and cloud infrastructure

Harini Gopalakrishnan

Head of Healthcare GTM, Vespa.ai

Worked across pharma, CRO, consulting, and tech on three continents — and brings that breadth to making AI in life sciences actually land in practice, not just in pitch decks.

If you work in healthcare AI, clinical research, or life sciences data infrastructure — this is the kind of session where you'll see something you haven't seen demoed before.Register below. Spots are limited.