Closing gaps in early-stage NSCLC with AI-enabled clinical intelligence

A deep dive into the ASCO 2026 Landmark study on improving biomarker testing and guideline-concordant care

Oct 14, 2026
Life Sciences
Webinar
Headshot of Karen Huelsman, MS, LGCKaren Huelsman, MS, LGCPrecision Oncology Lead and Licensed Genetic Counselor, TriHealth Precision Medicine and TriHealth Cancer Institute
Headshot of Dr. George SimonDr. George SimonVice President of Oncology, OhioHealth
Headshot of Heather RudicilHeather RudicilExecutive Director of Personalized Medicine, Community Health Network (CHN)
Headshot of Dr. Ezra CohenDr. Ezra CohenChief Medical Officer of Oncology, Tempus

Session highlights

 

Join us for a discussion on the findings of a multi-center, prospective study presented at the ASCO 2026 Annual Meeting. The study evaluated an AI-enabled clinical decision support program deployed across six geographically and socioeconomically diverse US community health systems, resulting in an absolute lift of up to +24% in biomarker testing rates. We will explore the study’s methodology, which combined education, real-time EHR monitoring and alerts, and longitudinal feedback dashboards to address non-adherence to biomarker testing guidelines. Panelists will discuss the study’s results and the real-world implications for clinicians, patients, and the future of AI in helping clinicians ensure patients receive guideline-concordant care.

 

  • The clinical challenges and importance of timely biomarker testing for patients with early-stage NSCLC.

  • Key results from a multi-center study, in which implementation of an AI-enabled program was associated with an absolute lift of up to +24% in biomarker testing rates.

  • Perspectives from clinical investigators on how an AI-powered program can be integrated into existing workflows to support guideline-concordant care.