The MOFS (Multimodality Fusion Subtyping) framework is a comprehensive approach for integrating and analyzing multi-layer biological data to achieve clinically relevant disease subtype classification.
In total, 5,708 patients from five randomized phase III trials were included. Two MMAI algorithms were evaluated: (1) the distant metastasis (DM) MMAI model optimized to predict risk of DM, and (2) ...
Mental health disorders (MHDs) have significant medical and financial impacts on patients and society. Despite the potential opportunities for artificial intelligence (AI) in the mental health field, ...
Pre-surgical 68Ga-PSMA-11 PET for biochemical recurrence risk assessment: A surrogate of pelvic lymph node dissection? Follow-up analysis of a multicenter prospective phase 3 imaging trial. This is an ...
Objective: Cardiovascular disease (CVD) is one of the leading causes of death worldwide, and answers are urgently needed regarding many aspects, particularly risk identification and prognosis ...
The Araripe Manakin (Antilophia bokermanni) is one of the rarest birds in the world, found only in a tiny forested valley in Brazil at the base of the Araripe Plateau. This critically endangered ...
Principal component analysis (PCA) is widely used for data reduction in group independent component analysis (ICA) of fMRI data. Commonly, group-level PCA of temporally concatenated datasets is ...
Analysis of brain connectivity has become an important research tool in neuroscience. Connectivity can be estimated between cortical sources reconstructed from the electroencephalogram (EEG). Such ...
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