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 ...
EurekAlert!

Researchers develop multimodal deep learning model to enhance precision radiotherapy decision-making

Cervical cancer is a major public health concern that poses a significant threat to women's health. Standard concurrent chemoradiotherapy (CCRT) achieves disease-free survival (DFS) in approximately ...
ascopubs.org

Non-invasive colorectal cancer detection using multimodal deep learning ensemble classifier.

Effect of breast tissue density on cell-free orphan non-coding RNAs secreted by breast cancers. Nature and distribution of methyl thioadenosine phosphorylase (MTAP) genomic loss in human tumors. This ...
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 ...