Applied Sciences

SEP 7, 2026 · JOURNAL ARTICLE

MRI-Based Radiomics and Machine Learning for Predicting Pathological Tumor Invasion and Nodal Status in Rectal Cancer: A Retrospective Study

Applied Sciences

A retrospective single-center study using cross-validation in a small, heterogeneous cohort (152 patients, split by treatment) that reports surrogate endpoints (AUC) rather than clinical outcomes; radiomic findings did not improve on baseline models, limiting clinical utility.

AUG 16, 2026 · JOURNAL ARTICLE

Quantum Horizons in Cancer Radiotherapy: Integrating DNA Damage Modeling, Radiobiology, and Emerging Treatment Technologies

Applied Sciences

This is a narrative review examining theoretical quantum-mechanical principles and emerging technologies in radiotherapy without reporting empirical results, clinical outcomes, or comparative evidence.

AUG 12, 2026 · JOURNAL ARTICLE

Development and In Vitro Validation of a Mobile 13.56 MHz Radiofrequency Hyperthermia Platform in Cancer Cell Models

Applied Sciences

First-generation technical development with in vitro proof-of-concept in cancer cell lines; lacks clinical outcome, adequate power analysis, or comparative control to support stronger evidence classification.