Boosting Breast Cancer Detection with Advanced AI Techniques
In the realm of modern medicine, the integration of advanced technologies has begun to redefine the landscape of diagnostics and...
cancer
Machine learning-based prediction of luminal breast cancer subtypes using polarised light microscopy
Human breast cancer samplesInstitutional ethics approval was obtained from the participating hospital institutions, University Health Network and Sunnybrook Hospital, both...
HAPIR: a refined Hallmark gene set-based machine learning approach for predicting immunotherapy response in cancer patients
Overview of HAPIRHAPIR is a machine learning model used for predicting response to ICIs. The HAPIR workflow mainly consists of...
A machine learning approach for multimodal data fusion for survival prediction in cancer patients
Picard, M., Scott-Boyer, M. P., Bodein, A., Perin, O. & Droit, A. Integration strategies of multi-omics data for machine learning...
New radiotherapy technique aims to protect the heart during lung cancer treatment
A new study presented at ESTRO 2025 introduces the RAPID-RT study, which uses an innovative rapid-learning approach to evaluate the...
Integrating single cell analysis and machine learning methods reveals stem cell-related gene S100A10 as an important target for prediction of liver cancer diagnosis and immunotherapy
ORIGINAL RESEARCH article Front. Immunol. Sec. Cancer Immunity and Immunotherapy Volume 15 - 2024 | doi: 10.3389/fimmu.2024.1534723 This article is...
