Latest AI and machine learning research in genetics for healthcare professionals.
Fabry disease (FD) is a rare genetic disorder caused by mutations in the gene, affecting multiple organs. Over 60% of patients experience heart-related issues, primarily arrhythmias. Unlike typical cases, these arrhythmias are complex and often do not respond well to standard antiarrhythmic drugs, sometimes worsening symptoms. This paper presents a case study of a FD patient with paroxysmal atria...
: Identifying the associations between transfer RNA (tRNA) and diseases is critical for disease diagnosis and treatment. Computational methods offer an efficient approach for exploring these associations. : We proposed an MGC2ATDA model, which integrated a multiview graph convolutional network, a scaled attention fusion module, and a cross-attention mechanism to identify tRNA-disease associations....
MOTIVATION: Nanopores are highly sensitive sensors that have achieved commercial success in DNA/RNA sequencing, with potential applications in protein...
Cervical cancer is one of the most common cancers in women. Despite progress in prevention and success in early detection through cytologic screening ...
Genetic testing for pathogenic germline variants is critical for the personalized management of high-risk breast cancers, guiding targeted therapies a...
Only a minority of patients with rare genetic diseases are currently diagnosed by exome sequencing, suggesting that additional unrecognized pathogenic...
Ischemic stroke (IS) is a multifactorial disease caused by the interaction of a variety of environmental and genetic factors, which can lead to severe...
Bladder cancer is the fourth most common malignant tumor in men, with limited therapeutic biomarkers and heterogeneous responses to immunotherapy. Dis...
Differentiating follicular thyroid adenoma (FTA) from carcinoma (FTC) remains challenging due to similar histological features separate from invasion....
Artificial intelligence has revolutionized computational biology. Recent developments in omics technologies, including single-cell RNA sequencing and ...
Structural data provides important information on the proteins' function. Recent development of advanced machine learning and artificial intelligence ...
Experimental-driven directed evolution has achieved remarkable success in enzyme engineering. However, it relies on random mutagenesis and high-throug...
Duck is one of the most widely distributed waterfowl in the world, with more than 6 billion of them farmed annually in the world, and has great econom...
Musculoskeletal tumors present a diagnostic challenge due to their rarity, histological diversity, and overlapping imaging features. Accurate characte...
Due to the decreasing age of onset and the postponement of childbearing, there is a growing number of patients with endometrial carcinoma (EC) and end...
Gastrointestinal tumors are among the malignancies with the highest global incidence and mortality rates, and their diagnosis and treatment heavily re...
Flavonoids are a diverse class of plant polyphenols with essential roles in development, defense, and environmental adaptation, as well as significant...
The tumor microenvironment (TME) significantly influences cancer prognosis and therapeutic outcomes, yet its composition remains highly heterogeneous,...
Goats are vital to the rural economy of India, contributing significantly to livelihoods, nutrition, and agricultural sustainability. With a populatio...
This investigation employed a synergistic approach integrating bioinformatics and machine learning methodologies to scrutinize overweight-related oste...