UroToday

ProsTIC26: PETomics: Integrating PET Imaging and ctDNA Genomics via Deep Learning to Predict Response to 177Lu-PSMA‑617 in mCRPC Patients

Using baseline clinical data alone, the model incorporated prior treatments, blood-test results, ECOG performance status, PSA ...
ascopubs.org

Predicting clinical outcomes in the S1314-COXEN trial using a multimodal deep learning model integrating histopathology, cell types, and gene expression.

Correlation of urinary comprehensive genomic profile with risk of recurrence of BCG-unresponsive non-muscle invasive bladder cancer treated with atezolizumab in SWOG S1605. This is an ASCO Meeting ...
ascopubs.org

Deep-learning model for real-time prediction of recurrence in early-stage non-small cell lung cancer: A multi-modal approach.

Implications of EGFR expression in MAPK dependency and adaptive immunity status of EGFR-mutated lung adenocarcinoma. Baseline RADAR score and optimal threshold of predicting relapse within one year ...
eSchool News

Where AI and multimodal learning will go in 2025

Reflecting on the developments of 2024, this year has been transformative for the entire educational landscape. We’ve witnessed how the thoughtful integration of artificial intelligence can elevate ...
Frontiers

Advances in Deep Learning for Computational Pathology and Oncology Diagnostics

Computational pathology has recently emerged as a field that combines digital pathology, medical imaging, and artificial ...