An artificial intelligence (AI) system that combines breast cancer tissue images with molecular marker data achieves high ...
A new study in Science Bulletin presents DVSTP, a deep learning system that integrates pathology images with spatial ...
Researchers at the Faculty of Information Technology at the University of Jyväskylä have used artificial intelligence to speed up the analysis of colorectal cancer samples and predict the functioning ...
Pediatric oncology is rapidly advancing through precision therapeutics, biomarker-informed trials, and adaptive treatment strategies designed to improve ...
Immune checkpoint inhibitors, adoptive cell therapies, and cancer vaccines have reshaped oncology, yet response remains highly heterogeneous and difficult ...
To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...
Abstract: Breast cancer is a notable global concern in female health due to its rapid spread and high mortality rate. Early detection is crucial, albeit challenging, in combating this disease. Machine ...
Abstract: Traditional econometric models, such as the Fixed Effects Model (FEM) and Random Effects Model (REM), effectively address structured datasets by capturing fixed and inter-group variability ...
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