Latest AI and machine learning research in genetics for healthcare professionals.
BACKGROUND: Sjögren's disease (SjD), mucosa-associated lymphoid tissue lymphoma (MALT lymphoma), and thyroid cancer (THCA) are clinically distinct yet immunologically intertwined diseases characterized by chronic inflammation and aberrant immune activation. However, the shared molecular basis linking autoimmunity and oncogenesis remains poorly defined. METHODS: We performed an integrative transcri...
Cis-regulatory elements (CREs) play a crucial role in regulating gene expression by controlling transcription, making the understanding and design of these elements essential for the advancement of biology. Traditional approaches often rely on empirical rules and iterative experimentation, which can be time-consuming and labor-intensive. Recent advances in deep learning have begun to influence thi...
This study investigated effects of ripening on physicochemical, aroma profiles, and microbial succession in Italian-style dry-cured ham (ISDCH). Resul...
Metabolic dysfunction-associated steatohepatitis (MASH) is a global health care burden. Appropriate large animal models mimicking the main MASH charac...
BACKGROUND: Hepatocellular carcinoma (HCC) is a common and aggressive form of cancer. There is an interplay between ferroptosis and lipid metabolism i...
Climate change, rising global food demand, and shrinking resources require transformative innovations in crop breeding. This review outlines recent ad...
BACKGROUND: Acute myocardial infarction (AMI) is a major global health burden, with current diagnostic biomarkers often limited by delayed elevation a...
The global rise of antimicrobial resistance has intensified the demand for novel antimicrobial agents with broad-spectrum efficacy and unique mechanis...
BACKGROUND: Breast cancer is a leading cause of cancer-related mortality worldwide, with poor prognosis largely due to its invasive and metastatic nat...
Chronic kidney disease (CKD) is a leading cause of death worldwide. Currently available drugs slow but do not cure or prevent progression to end-stage...
INTRODUCTION: Accurate cell type annotation remains a major bottleneck in plant single-cell RNA sequencing (scRNA-seq), where existing tools are often...
BACKGROUND: The World Health Organization encourages the development of novel diagnostic tools based on 'non-sputum' samples to meet global goals for ...
Effective treatment of diabetic osteoporotic fractures (DOF) requires biomaterials capable of promoting vascularized bone regeneration. A biodegradabl...
Graph Transformers (GTs), as emerging foundational encoders for graph-structured data, have shown promising performance due to the integration of loca...
Accurately predicting the phenotypic consequences of genetic variation is a major challenge for precision medicine. The problem is exacerbated by epis...
UNLABELLED: T-cell leukemias and lymphomas (TCL) form a heterogeneous group of rare and often aggressive malignancies. Because of the rarity and heter...
Although protein-RNA interactions are crucial for many biological processes, predicting their binding free energies (ΔG) is a challenging task due to ...
Synonymous single-nucleotide variants (sSNVs) are increasingly recognized as contributors to disease, yet existing variant annotation databases offer ...
INTRODUCTION: Sarcomas are rare, molecularly diverse malignancies that challenge accurate diagnosis and effective therapy. Japan has implemented natio...