GConferenceGridThe Conference Catalogue · Vol. 2026Folio № CCF959
Technology

AI in Healthcare & Pharma Summit 2026

U

niting AI experts and healthcare innovators to explore applications transforming drug discovery, clinical trials, diagnostics, and patient outcomes.

Visit the official site
37Voices
11Underwriters
0Exhibitors
22On the bill · sessions
44Companies · in total
§I

The Voices

Programmed at AI, in alphabetical order.
Abeer Minhas
Product Lead - Generative AI Medical Writing Tools · Merck
Amir Tahmasebi
Director, Computer Vision and NLP, Healthcare · Becton Dickinson
Anemone Kasasbeh
Lead Data Scientist · IPG Health
Arta Subagiarta
Associate Medical Director · Sanofi
Benjamin O'Connor
Strategic Account Director · Adlib
Bickkie Solomon
Director of Pharmacy / Residency Program Director PGY2 HSPAL · HCA Florida North Florida Hospital
Cesar Koirala
Former Director of Responsible AI in Healthcare and current lecturer · NYU
Chris Huff
CEO · Adlib
Christie Mealo
SVP of AI Product · IPG Health
Ellie Norris
Director, D&A Strategy, Clinical Development & Digital Solutions · Merck
Ellis Wong
Chief Information Security Officer · JST Digital
Fidelis Ndombera
Study Lead QC Scientist III · Labcorp
Hao Zhang PhD, MBA
Digital Health Consultant · Pfizer/MT-Pharma (former)
Harsh Maheshwari
Principal AI Architect and Strategist · SUPERSET/ former OPTUM
Ittai Dayan, MD
CEO · Rhino Federated Computing
Janelle Sullivan
Regional Vice President, Health, Insurance & Public Sector · SS&C Blue Prism
Jerry Calvanese
Senior Director, Technical Sales · Informatica
Kevin Anderson
Sr. Director, Clinical Operations · Moderna
Lance Bradshaw
Director of Workforce Transformation · Intermountain Health
Linda Hermer
Chief Data Strategy Officer · Ammon Labs
Manasi Ghogare
Senior Technical Product Manager · Takeda Pharmaceutical
Matt Dixon
Cloud Architect · Northwell Health

— and 15 more, by name unsung —

§II

Underwritten By

The houses behind the program. Tiers as disclosed.
Accenture
Amazon
Axionable
Facebook
Google
IBM
Intel
Microsoft
SAS
TD Bank
Weights & Biases
§III

The Programme

Selected from 22 sessions on the bill.
  • Day 1

    Accelerating the Use of Digital Health Technology in Biopharma in the Age of AI

    Track B: Accelerating Drug Development & Personalized Medicine
  • Day 1

    AI-Enabled Commercialization: Building a Scalable Framework for Accelerating Drug Access

    Explore how a modular, privacy-first AI framework can close the post-approval commercialization gap and speed equitable patient access. - Identify key post-approval bottlenecks th…

  • Day 1

    Application of AI/ML and Computer Vision in Drug Development

    Track B: Accelerating Drug Development & Personalized Medicine
  • Day 1

    Building the AI Stack in Pharma – Unifying Data, Deployment, and Model Governance

    Enterprise-scale AI requires infrastructure that scales with science, not against it. - What defines a modern, production-ready AI stack in pharma? - How are data engineering, MLO…

  • Day 1

    CLOSING KEYNOTE: Human-Centered Adoption of AI in the Modern Healthcare and Life Sciences Enterprise

  • Day 1

    FIRESIDE CHAT: Crafting Personalized Patient Access Pathways with AI

    Personalized care access is becoming table stakes—and AI is the engine behind it. - How are AI tools optimizing prior auth, eligibility, and intake? - What’s the balance between au…

  • Day 1

    From Promise to Practice – Overcoming Barriers to AI Adoption in Healthcare

    This talk will trace how long-standing, human-centered barriers to innovation adoption—leadership, culture, and self-efficacy—persist today, and identify the unique challenges of c…

  • Day 1

    Innovation Showcase 1: The Future is Now: Agentic Automation and AI Governance

  • Day 1

    Innovation Showcase 2: Accuracy-First AI in Pharma: From Messy Documents to Measurable ROI

    Most GenAI initiatives stall because the inputs (SOPs, batch records, clinical/CMC and regulatory files) aren’t clean, structured, or governed. This talk shows how to build validat…

Intermission
Part the Second · For the Buyer

An audience of 44 companies, parsed from the program.

44 companies in attendance.

The numbers below are derived from the speakers, sponsors, and exhibitors on this page — cross-referenced into one ledger. They are the only thing here that 10times.com cannot tell you.

01Fig. 01 — Composition of the House
0All threespeak · spons · exh
11Sponsoringsponsor only
0Exhibitingexhibitor only
33Speakingspeaker only
02Fig. 02 — The Voices, by Seniority

65% of the speakers carry senior titles — C-suite, Founder, VP, or Director-level.

  • C-suite514%
  • VP-level411%
  • Director / Head of1541%
  • Manager / Lead25%
  • Product25%
  • Engineer · IC411%
  • Research / Science38%
  • Advisor / Investor13%
  • Other roles13%

Of 37 on the bill · classified by free-text title

03Fig. 03 — The Heaviest in the Room
  1. 01AccentureSp
  2. 02AmazonSp
  3. 03AxionableSp
  4. 04FacebookSp
  5. 05GoogleSp
  6. 06IBMSp
  7. 07IntelSp
  8. 08MicrosoftSp
  9. 09SASSp
  10. 10TD BankSp
  11. 11Weights & BiasesSp
  12. 12Adlib2V
  13. 13IPG Health2V
  14. 14Merck2V
04Fig. 04 — By Tier
unspecified11
100% of 11
05Fig. 05 — The Missing · who's at peer events but not here

These companies sponsored two or more peer events recently, but aren't on this program. For an organizer, that's a list of warm prospects.

06Fig. 06 — Adjacent Convocations · by shared underwriters