Integrative Machine Learning Prediction of Prostate Biopsy Results From Negative Multiparametric MRI
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.27793
Abstract: Multiparametric MRI (mpMRI) is commonly recommended as a triage test prior to any prostate biopsy. However, there exists limited consensus on which patients with a negative prostate mpMRI could avoid prostate biopsy. read more here.
Keywords: integrative machine; multiparametric mri; prostate biopsy;
Integrative Machine Learning of Glioma and Coronary Artery Disease Reveals Key Tumour Immunological Links
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Cellular and Molecular Medicine"
DOI: 10.1111/jcmm.70377
Abstract: It is critical to appreciate the role of the tumour‐associated microenvironment (TME) in developing strategies for the effective therapy of cancer, as it is an important factor that determines the evolution and treatment response of… read more here.
Keywords: disease; glioma coronary; machine; machine learning ... See more keywords
Integrative Machine Learning Model for Overall Survival Prediction in Breast Cancer Using Clinical and Transcriptomic Data
Sign Up to like & getrecommendations! Published in 2025 at "Biology"
DOI: 10.3390/biology14111539
Abstract: Simple Summary Breast cancer is the most common cancer in women, and the Luminal A type is usually linked to better survival. However, age and menopause can affect how the disease behaves and how patients… read more here.
Keywords: cancer; breast cancer; survival; clinical features ... See more keywords
Integrative Machine Learning Approaches for Identifying Loci Associated with Anthracnose Resistance in Strawberry
Sign Up to like & getrecommendations! Published in 2025 at "Plants"
DOI: 10.3390/plants14182889
Abstract: Anthracnose, predominantly caused by Colletotrichum fructicola, severely reduces yield in Fragaria × ananassa production. We assessed ensemble machine learning (ML) frameworks to improve genomic prediction (GP) of resistance using a training population of 300 individuals… read more here.
Keywords: resistance; strawberry; machine learning; learning approaches ... See more keywords