A Live Panel With FightCRC, Abbott, Amgen, and Komodo HealthFrom Testing to Treatment: How AI Can Connect the Colorectal Cancer Journey

A positive at-home test. Follow-up testing. A diagnosis. An oncology visit. A treatment plan. Every handoff risks a delay, with the data scattered across settings. Now, AI applied to millions of real-world patient journeys can move teams past “what happened?” to where gaps occur, who is affected, and what is driving them.

Thursday, November 12 at 2 pm ET. Join leaders from FightCRC, Abbott, Amgen, and Komodo Health® to discuss:

  • Where delays build: Follow a younger patient from screening to treatment
  • What happens after a positive at-home test: Learn where patients lose time before diagnosis
  • Where, who, and why: See how AI and real-world patient journeys answer all three
  • Four perspectives: Hear from a patient advocacy organization, a diagnostics company, a biopharma company, and a healthcare intelligence provider

Speakers

Nasim Asfar

Moderator: Nasim Afsar, MD, MBA

Health Tech Exec, Author of Intelligent Health

Victoria Chia

Victoria Chia

Executive Director, Center for Observational Research, Amgen

Anjee Davis

Anjee Davis

CEO, FightCRC

Burak Ozbay

Senior Director of HEOR, Abbott

Rathi Suresh

VP, Analytics, Komodo Health

FAQ

It is the path a younger adult takes from first signs, family history, or screening through an at-home or diagnostic test, a diagnosis, an oncologist visit, and the start of treatment. Most of the care pathway was built around older patients, so younger adults often meet friction, uncertainty, and delays at each step.

The data lives in different places. Screening, diagnostic testing, clinical care, and treatment are recorded by different organizations in different settings. Connecting them has historically meant stitching together partial views, which makes it hard to tell where patients stall or drop out.

Real-world data and analytics have been around for years. AI-powered healthcare intelligence helps teams investigate across the whole journey, for example by linking an at-home screening result to what happens months later in oncology care. It moves the question from “what happened?” to where gaps occur, who is affected, and what may be driving them.

A clearer picture of where younger patients run into delays between testing, diagnosis, and treatment. You will also hear how a patient organization, a diagnostics company, and a biopharma company each think about using connected data to find where to step in.

Yes, a recording will be shared for on-demand viewing with all registrants via email. It will also be available in our on-demand content library after the broadcast.