Latest AI and machine learning research in gerd for healthcare professionals.
Protein–protein interactions (PPIs) form the backbone of most cellular processes, governing signal t...
Accurately annotating the functions of uncharacterised human proteins remains a major bottleneck in ...
Proteins are essential in biological processes, primarily through their interactions with other mole...
Protein-protein interactions (PPIs) are essential for the study of cellular function, yet computatio...
Robust prediction of protein–protein interactions (PPIs) requires models that generalize beyond the ...
With the growing pervasiveness of pre-trained protein large language models (pLLMs), pLLM-based meth...
Computational models of stress responses can highlight candidate genes underlying physiological adap...
Individuals homozygous for the Alpha-1 Antitrypsin (AAT) Z allele (Pi*ZZ) exhibit heterogeneity in C...
Several conditions exist that do not have their own unique diagnosis code in widely-used clinical te...
Self-attention mechanisms and token embeddings behind transformers allow the extraction of complex p...
Video capsule endoscopy (VCE) is an important technology with many advantages (non-invasive, represe...
Accurate evaluation of aortic regurgitation (AR) severity is necessary for early detection and chron...
Late radiation-associated dysphagia after head and neck cancer (HNC) significantly impacts patient’s...
Artificial intelligence (AI) has emerged as a transformative force in gastrointestinal (GI) endoscop...
Prediction-powered inference (PPI) [1] and its subsequent development called PPI++ [2] provide a nov...
Artificial intelligence (AI)-enhanced electrocardiogram (ECG) models are designed to detect specific...
Machine learning models for predicting structural heart disease (SHD) from electrocardiography (ECG)...
Fluid biomarkers are emerging as crucial markers for diagnosis and disease monitoring in neurology. ...
To evaluate performance of artificial intelligence (AI) models using electrocardiogram (ECG) and ech...
MRI-derived organ and tissue volumes are powerful endophenotypes for studying complex disease, but t...
Sleep disorders pose a major global health burden and are associated with a wide range of adverse he...