Flatiron Health Brings 25+ Research Acceptances and Next-Generation Capabilities to ASCO 2026
Flatiron's real-world evidence research and live Flatiron Telescope demonstrations at booth #21149 showcase how scale and rigor advance oncology decision-making
Flatiron’s presence at ASCO 2026 closely follows the launch of Flatiron Telescope, a multi-agent adaptive analytics platform designed to help life sciences teams find the right patients faster, assess study feasibility in real time, and generate oncology insights on demand. Flatiron Telescope will be demonstrated at the company’s booth (#21149) for attendees to build and iterate on patient cohorts using natural language and generate insights in real time.
"Our presence at ASCO 2026 proves that innovation and rigor aren't at odds—they reinforce each other," said
Research highlights include:
- Digital twin modeling for treatment prediction: validating novel counterfactual prediction approaches in NSCLC using clinical trial data, demonstrating how AI-enabled simulation can move beyond observational analysis to model patient outcomes under different treatment scenarios
- Physician adoption of landmark clinical trial findings: a large-language model-based analysis documenting how ASCO plenaries translate to clinical decision-making in real-world practice, the largest such analysis of clinician-patient trial discussions to date
- Recurrence risk prediction in early breast cancer: leveraging multi-site observational data to build predictive models for early breast cancer populations, showing how scale enables discovery in underrepresented patient groups
- Post-operative circulating tumor DNA as a prognostic indicator: examining ctDNA's role in identifying high-recurrence risk in muscle-invasive and locally advanced bladder cancer, demonstrating the value of real-world biomarker data in routine practice
- Real-world treatment patterns in platinum-resistant ovarian cancer: analyzing platinum re-challenge outcomes in a population with limited evidence guidance, highlighting how Flatiron's depth of longitudinal data reveals clinical practices that diverge from trial design and guidelines
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Poster Presentations
From plenary to practice: a large language model (LLM)-based thematic analysis of landmark clinical trial discussions and factors influencing their real-world adoption
Aaron B Cohen,
Author affiliations: Penn Medicine,
Abstract Number: 1583
Poster Session: Care Delivery/Models of Care
Poster Board: 501
Date and Time:
External validation of a deep learning CT biomarker to predict first-line immune checkpoint inhibitor monotherapy-associated survival in PD-L1-high metastatic non-small cell lung cancer
Author affiliations:
Abstract Number: 2534
Poster Session: Developmental Therapeutics—Immunotherapy
Poster Board: 324
Date and Time:
Prognostic value of post-operative circulating tumor DNA (ctDNA) in real-world treatment and outcomes among patients (pts) with muscle invasive (MIBC) and locally advanced (LA) bladder cancer (BC)
Khilna Patel,
Abstract Number: 4600
Poster Session: Genitourinary Cancer—Kidney and Bladder
Poster Board: 79
Date and Time:
Real-world second-line treatment patterns and outcomes by platinum sensitivity in extensive-stage small cell lung cancer in the post-immunotherapy era
Abstract Number: 8083
Poster Session: Lung Cancer—Non-Small Cell Local-Regional/Small Cell/Other Thoracic Cancers
Poster Board: 557
Date and Time:
Comparison of real-world overall survival between atezolizumab- and durvalumab-containing first-line induction and maintenance regimens in extensive-stage small cell lung cancer
Apar
Author affiliations: Jazz Pharmaceuticals,
Abstract Number: 8093
Poster Session: Lung Cancer—Non-Small Cell Local-Regional/Small Cell/Other Thoracic Cancers
Poster Board: 567
Date and Time:
A risk stratification schema for patients with non-small cell lung cancer with multiple organ metastases
Author affiliations:
Abstract Number: 11138
Poster Session: Quality Care/Health Services Research Track
Poster Board: 121
Date and time:
Platinum re-challenge in platinum-resistant ovarian cancer: real-world patterns and outcomes
Prakirthi Yerram,
Abstract Number: 5566
Poster Session: Gynecologic Cancer
Poster Board: 232
Date and Time:
Using ML to predict rapid progression for patients (pts) with HR+/HER2- metastatic breast cancer (mBC) treated with frontline (1L) CDK 4/6 inhibitors (CDK 4/6i)
Author affiliations: Gilead Sciences,
Abstract Number: 1025
Poster Session: Breast Cancer—Metastatic
Poster Board: 139
Date and Time:
RW post-progression outcomes following first-line (1L) ribociclib (RIB) + aromatase inhibitor (AI) versus AI alone in
Vk Gadi,
Author affiliations:
Abstract Number: 1073
Poster Session: Breast Cancer—Metastatic
Poster Board: 187
Date and Time:
Recurrence risk prediction using a large, multi-site observational dataset of patients with early breast cancer including early-onset disease
Abstract Number: 547
Poster Session: Cancer—Local/Regional/Adjuvant
Poster Board: 32
Date and Time:
Online Acceptances
Digital twin models for counterfactual prediction in NSCLC: a validation study using clinical trial data
Aaron B Cohen,
Author affiliations:
Abstract Number for Publication: e20517
Real-world treatment patterns and outcomes among patients with high-risk and very high-risk non-metastatic prostate cancer
Eunice A. Hankinson,Yunzhi Qian,
Abstract Number for Publication: e17120
Drivers of organotropism and patterns of metastatic progression in metastatic non-small cell lung cancer
Author affiliations:
Abstract Number for Publication: e20541
Real-world biomarker testing rates, targeted therapy use, and clinical outcomes in patients with advanced gastric or GEJ cancer in
Abstract Number for Publication: e16039
About Flatiron
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