ORDER A TEST Log In Contact Us
Back TO events
March 21 — 26, 2026 SAN ANTONIO, TX

Booth #542

4 Abstracts

USCAP 2026

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.

AI-enabled technologies
Time
March 23–24 | 9:30am–5:00pm CT
March 25 | 9:00am–4:00pm CT

Location
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.

Research Highlights
March 23, 2026
live session
Time
11:45am–12:00pm CT

Location
303b, Henry B. González Convention Center
Presenters
Shan Huang (Geisinger)

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

Abstract: #167

Time
9:30am–12:00pm CT

Location
Exhibit Hall, Henry B. González Convention Center
Presenters
Shan Huang (Geisinger)

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

Abstract: #2655
Poster Board: #80

March 24, 2026
Time
9:30am–12:00pm CT

Location
Exhibit Hall, Henry B. González Convention Center
Presenters
Kshitij Ingale

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

Abstract: #513
Poster Board: #170

Time
1:00pm–4:30pm CT

Location
Exhibit Hall, Henry B. González Convention Center
Presenters
Kshitij Ingale

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

Abstract: #208
Poster Board: #175

Schedule a meeting with us

We'll be in touch shortly.