Cross-dataset pan-cancer detection by correlating cell-free DNA fragment coverage with open chromatin sites across cell types. [PDF]
Olsen LR +24 more
europepmc +1 more source
Hybrid deep learning models for text-based identification of gene-disease associations. [PDF]
Fadhil Jumaa N +3 more
europepmc +1 more source
Hybrid neurofibroma/schwannoma in schwannomatosis-a diagnostically challenging benign peripheral nerve sheath tumour. [PDF]
Tippner D +6 more
europepmc +1 more source
Discrimination of Rheumatoid and Psoriatic Arthritis Based on Raman and NIR Spectra Using Machine-Learning Algorithms. [PDF]
Cuprych P +4 more
europepmc +1 more source
Impact of Natural Language Processing models on diagnosis and decision-making in healthcare, business, education, and sports: a review. [PDF]
Choudhary A +3 more
europepmc +1 more source
BanglaNewsClassifier: A machine learning approach for news classification in Bangla Newspapers using hybrid stacking classifiers. [PDF]
Hossain T +5 more
europepmc +1 more source
Primary CNS histiocytic sarcoma: Two case reports highlighting a novel MIGA2::BRAF gene fusion and genome-wide DNA methylation profiling results. [PDF]
Cecchi R +7 more
europepmc +1 more source
Scientific literature on carbon dioxide removal revealed as much larger through AI-enhanced systematic mapping. [PDF]
Lück S +25 more
europepmc +1 more source
M&M: an RNA-seq based pan-cancer classifier for paediatric tumours. [PDF]
Wallis FSA +21 more
europepmc +1 more source
DNA methylation-based classification of central nervous system tumours [PDF]
Accurate pathological diagnosis is crucial for optimal management of patients with cancer. For the approximately 100 known tumour types of the central nervous system, standardization of the diagnostic process has been shown to be particularly challenging-
David Capper +2 more
exaly +3 more sources

