Latest AI and machine learning research in genetics for healthcare professionals.
BACKGROUND: Bladder cancer (BCa) diagnosis typically relies on invasive cystoscopy, which is effective but costly and uncomfortable. Urinary microRNAs (miRNAs), especially exosomal ones, are promising non-invasive biomarkers due to their stability in biological fluids and disease specificity. The let-7c cluster, owing to its tumor-suppressive function and frequent dysregulation in BCa, has emerged...
BACKGROUND: Muscle-invasive bladder cancer (MIBC) is an aggressive and heterogeneous malignancy with limited biomarkers to guide patient stratification and response to neoadjuvant chemotherapy (NAC). We sought to define the biological basis and clinical utility of a bladder cancer-associated ten-gene signature for predicting prognosis and therapeutic response. METHODS: Bulk transcriptomic data fro...
The past decade has witnessed an unprecedented convergence of exposomic technologies, population-scale genomics, and AI-enabled data science, creating...
INTRODUCTION: Inherited retinal diseases (IRDs) represent a heterogeneous group of progressive disorders that lead to visual impairment and blindness ...
The large-scale application of pesticides in present-day agriculture renders the demand for prompt, portable, and precise analytical tools for monitor...
Gastrointestinal nematodes (GIN) are a major health concern in dogs, particularly in high-density environments such as shelters. Toxocara canis, Ancyl...
Neoadjuvant therapy (NAT) has strengthened systemic control in breast cancer and promoted precision de-escalation of axillary management. For clinical...
The transformer architecture in deep learning has revolutionized protein sequence analysis. Recent advancements in protein language models have paved ...
Chalcogenide perovskites have emerged as promising absorber materials for next-generation photovoltaic devices, yet their experimental realization rem...
To determine lactate metabolism-associated biomarkers for non-alcoholic fatty liver disease (NAFLD). Based on NAFLD datasets from the gene expression ...
Most respiratory pathogens exhibit distinct seasonal and periodic outbreak patterns driven by climatic factors. However, predictive models that jointl...
BACKGROUND: Endometriosis is a chronic, estrogen-dependent inflammatory disorder characterized by the ectopic implantation of endometrial-like tissue....
Genetic neuromuscular diseases are highly heterogeneous disorders characterized by diagnostic challenges and limited therapeutic options, underscoring...
Preeclampsia (PE) is a severe pregnancy-specific complication characterized by new-onset hypertension and proteinuria after 20 weeks of gestation, whi...
For locally advanced rectal cancer (LARC), neoadjuvant chemoradiotherapy (nCRT) combined with total mesorectal excision has emerged as the standard th...
We introduce a lightweight universal machine-learning interatomic potential (uMLIP), SevenNet-Nano, based on the graph neural network architecture Sev...
Alzheimer's disease (AD) is a complex neurodegenerative disorder which is multifactorial in nature. Some of its characteristics are slow cognitive dec...
BACKGROUND: Osteoarthritis (OA) is a common chronic inflammatory orthopedic disease, and ferroptosis (a novel OA-associated cell death mechanism) rema...
Weiss-Kruszka syndrome (WSKA; OMIM 618619) is a rare autosomal dominant neurodevelopmental disorder caused by haploinsufficiency of ZNF462, a zinc-fin...
2'-O-methylation (Nm) is a key epitranscriptomic mark across diverse RNAs, yet its role in antiviral defense remains largely unexplored. To systematic...