Deep learning model predicts how individual cells influence disease outcomes

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to patient outcomes using widely available bulk RNA sequencing data. The approach ...
ascopubs.org

Use of circulating tumor DNA (ctDNA) in the detection of residual disease and recurrence for patients with testicular cancer.

Circulating tumor DNA (ctDNA) as a real-time biomarker in marker-negative germ cell tumors (GCT): A proof-of-concept study. This is an ASCO Meeting Abstract from the 2026 ASCO Genitourinary Cancers ...
ascopubs.org

Use of ultra-sensitive whole genome circulating tumor DNA detection to predict early recurrence in high-risk localized RCC after nephrectomy: Preliminary real-world findings.

Use of spatial transcriptomics to analyze the molecular landscape of tuberous sclerosis complex–associated angiomyolipoma: Implications for diagnosis and therapeutic targeting.
IEEE

Efficient Liver and Tumor Segmentation Using a Compact Residual Network and Contrast-Enhanced Pre-Processing Pipeline

Abstract: Accurate liver and tumor segmentation in CT images is vital for diagnosis and treatment planning. This study presents SegResNet_2335, a lightweight 3D residual network optimized for ...