USCAP 2026

Booth #542

4 Abstracts

Join Tempus at the USCAP Annual Meeting to explore our comprehensive pathology offerings and latest research. Combining Paige’s industry-leading digital pathology expertise with the broader Tempus ecosystem, we are redefining what’s possible in AI-enabled pathology to empower anatomic and molecular pathologists worldwide.

Schedule a meeting with us→

AI-enabled pathology for your lab

Tempus and Paige are accelerating innovation and real-world adoption of AI-enabled pathology. Together, our comprehensive portfolio integrates modalities to deliver cutting-edge insights throughout your workflow, from primary signout to molecular testing, enabling more precise, data-driven decisions for pathologists and clinicians.

THU, JAN 01

March 23–24 | 9:30am–5:00pm CT March 25 | 9:00am–4:00pm CTLocation: Booth #542

Experience live demos of our AI applications

Visit our booth to learn more about our AI offerings for anatomic and molecular pathologists, including our most recent launch of Paige Predict. Experience live demos of our entire portfolio and see firsthand how our advanced diagnostic and biomarker applications are designed to support some of the most challenging cancer cases.

MON, MAR 23

11:45am – 12:00pm CDTLIVELocation: 303b, Henry B. González Convention Center

Al-Based Prediction of Microsatellite Instability in Solid Tumors: A Cost-Effective Screening Strategy for Cancer Immunotherapy

Abstract: #167

Shan Huang (Geisinger)

9:30am – 12:00pm CDTLocation: Exhibit Hall, Henry B. González Convention Center

Al-Based Prediction of Microsatellite Instability in Solid Tumors: A Cost-Effective Screening Strategy for Cancer Immunotherapy

Abstract: #2655 Poster Board: #80

Shan Huang (Geisinger)

TUE, MAR 24

9:30am – 12:00pm CDTLocation: Exhibit Hall, Henry B. González Convention Center

Validation of H&E-based Laboratory Development Test Predicting Molecular Alterations in Non-Small Cell Lung Cancer

Abstract: #513 Poster Board: #170

Kshitij Ingale

1:00pm – 4:30pm CDTLocation: Exhibit Hall, Henry B. González Convention Center

Laboratory Development Test Validation of an H&E-Based Deep Learning Histogenomic Model to Predict Biomarkers in Endometrial Cancer

Abstract: #208 Poster Board: #175

Kshitij Ingale

Schedule a meeting with us

We'll be in touch shortly.