Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 25,581 to 25,590 of 217,759 articles
DDA-BERT: end-to-end training for data-dependent acquisition mass spectrometry-based proteomics.
Nature communications
Apr 27, 2026
Peptide-spectrum match (PSM) rescoring is critical for accurate peptide identification in data-dependent acquisition (DDA)-based proteomics. Existing rescoring frameworks typically combine search-engine scores with heuristic or learned auxiliary feat... read more
A self-supervised electrocardiogram foundation model for empowering cardiovascular disease prediction and genetic factor discovery.
Nature communications
Apr 27, 2026
Electrocardiogram (ECG) has been widely used in the diagnosis of cardiovascular disease (CVD). Current deep learning methods for CVD prediction using ECG often lack generalizability and interpretability, resulting in limited performance. Here, we hav... read more
Biomarker identification of triple negative breast cancer subtypes using machine learning.
NPJ systems biology and applications
Apr 27, 2026
Triple Negative Breast Cancer is a clinically aggressive and molecularly heterogeneous subtype of breast cancer that currently lacks effective targeted therapies. Recognising biologically distinct subtypes within this disease is crucial for enhancing... read more
Augmented prediction of multi-species protein-RNA interactions using evolutionary conservation of RNA-binding proteins.
Nature communications
Apr 27, 2026
RNA-binding proteins (RBPs) play critical roles in the regulation of gene expression. Recent studies have begun to detail the RNA recognition mechanisms of diverse RBPs. However, given the array of RBPs studied so far, it is implausible to experiment... read more
Early postpartum psychosocial profiles predict parenting maladjustment at 1 year.
Scientific reports
Apr 27, 2026
Parenting difficulties during the first postpartum year are a public health concern. Early screening mainly uses depressive-symptom measures such as the Edinburgh Postnatal Depression Scale (EPDS), which capture concurrent symptoms but may miss broad... read more
Anomaly detection of fermi surface morphology in Co2MnGaxGe1-x via interpretable machine learning.
Scientific reports
Apr 27, 2026
Regional machine learning-based estimation of methane emissions from rice cultivation in South Korea.
Scientific reports
Apr 27, 2026
Frequency-based deep learning to identify subtle postural instability in early, untreated Parkinson's disease.
NPJ Parkinson's disease
Apr 27, 2026
Despite evidence of early neurodegeneration, postural instability is commonly associated with later stages of Parkinson's disease (PD), mainly due to a lack of sensitive measures. Here, we aim to provide a sensitive, easily obtainable objective measu... read more
An explainable Grey Wolf optimized extreme learning machine framework for modulation classification in cloud environment.
Scientific reports
Apr 27, 2026
Automatic modulation classification (AMC) is a key component in modern wireless communication systems, supporting efficient spectrum utilization and reliable data transmission. This paper presents a novel AMC model named as XGEM-Net, an explainable g... read more
An optimized machine learning approach for reliable design of hybrid FRP-steel-concrete tubular columns.
Scientific reports
Apr 27, 2026
This study develops and evaluates machine-learning models for predicting the confined ultimate strength (fcc, u) and ultimate strain (εcc, u) of a hybrid multi-tube concrete column (MTCC). It is a pioneer structural system that uses a fiber-reinforce... read more
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