Genetics

Insecticide Resistance Beyond Genetics: Integrating Microbiomes, Machine Learning, and Emerging Molecular Technologies.

Insecticide resistance has become a serious and escalating threat to global agriculture, undermining food security, farmer livelihood, and environmental health. Resistance is now widespread across major pest groups, including Lepidoptera, Hemiptera, Diptera, and Coleoptera, and affects nearly all major classes of insecticides. This review presents the recent progress in understanding the evolution...

IgA-Enriched Phenotype Predicts Liver-Related Events in MASLD.

BACKGROUND & AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a complex, multifactorial condition. To achieve truly personalized therapy for MASLD, it will be essential to stratify patients based on clinical and biochemical data by identifying subgroups with distinct disease mechanisms and prognostic trajectories. METHODS: This study conducted unbiased clustering analysis ...

Fluid identification of tight sandstone reservoirs using an improved double cost-sensitive random forest optimized by chaotic sparrow search algorithm.

Fluid identification of reservoirs is remarkably significant for the evaluation and development of tight sandstone oil gas reservoirs. Tight sandstone...

Single-Cell and Bulk RNA Sequencing Reveal MCL1 as a Key Regulator of Mitochondrial Function in Liver Ischemia-Reperfusion Injury.

Liver ischemia-reperfusion injury (LIRI), a significant complication following liver transplantation and surgical procedures, remains inadequately add...

Multi-Omics Framework Integrating Genetics, Microbiome, Metabolism, and Immunity for Deciphering Ulcerative Colitis Pathogenesis and Diagnostic Biomarker Discovery.

Ulcerative colitis (UC) is an inflammatory bowel disease involving complex interactions between genetics, gut microbiota, metabolism, and immunity. Th...

Unraveling the Mechanism of Drug Binding to SARS-CoV-2 RNA Pseudoknot With Thermodynamics-Driven Machine Learning.

The pseudoknot secondary structure in SARS-CoV-2 RNA is essential for regulating protein synthesis through - $$ - $$ 1 programmed ribosomal frameshi...

Machine learning-guided discovery of withangulatin A as a novel inducer of megakaryocytic differentiation through direct targeting of TYK2 in leukemia.

BACKGROUND: Leukemia is an aggressive hematological malignancy. Effective differentiation-inducing agents for non-acute promyelocytic leukemia (non-AP...

Integrating MRI radiomics and deep learning for predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer: a multicenter study.

OBJECTIVE: Develop a multimodal fusion model combining MRI radiomics and deep learning (DL) to predict pathologic complete response (pCR) in breast ca...

Gut microbiome in pediatric acute pancreatitis and Crohn's disease versus irritable bowel syndrome and healthy controls.

OBJECTIVES: Pediatric acute pancreatitis (AP), Crohn's disease (CD), and irritable bowel syndrome (IBS) are associated with gut dysbiosis, but differe...

Quantum Feature Engineering for Electronic Profiling of Biomolecules via Density of States: Beyond Transmission Fingerprints.

Feature engineering (FE) is highly crucial in machine learning (ML), which directly governs a predictive model's performance and thereby serves as a f...

Machine Learning for RNA-Targeting Drug Design.

Targeting RNA with small molecules offers significant therapeutic potential. Machine learning could substantially accelerate preclinical drug discover...

Multi-applications and Aquaculture of Seaweeds: Environmental Improvement, Health Benefit, and Sustainable Valorization with Integrated Artificial Intelligence.

Environmental and human health applications of seaweeds (SWs) have received attention in recent years. However, previous reviews lack of covering SWs ...

"Old and new" frontiers in embryo viability assessment: Current practices and introduction of emerging approaches.

Reliable assessment of embryo viability remains a critical yet challenging component of assisted reproductive technologies (ART). Traditional methods,...

Language Model-Enhanced Geometric Learning for Metalloprotein Pathogenic Mutations.

The interaction between proteins and metal ions plays a pivotal role in the pathogenesis of various diseases. Base pair substitution subsequently trig...

Application of cell-free RNA in liquid biopsy.

Cell free RNA (cfRNA) based liquid biopsy is pushing noninvasive diagnostics forward, moving the field from a static view focused on genomics into a m...

RNAGEN: A Generative Adversarial Network-Based Model to Generate Synthetic RNA Sequences to Target Proteins.

BACKGROUND: RNA-protein binding plays an important role in regulating protein activity by affecting localization and stability. While proteins are usu...

RNALig: An ML-Driven Structure-Based Scoring Function for Estimating Binding Affinities of RNA-Ligand Complexes.

Ribonucleic acid (RNA) has emerged as a crucial therapeutic target owing to its central roles in gene regulation, catalysis, and disease progression. ...

Gut microbiome signatures associate with DNA methylation-based biological aging.

Recent advances in machine learning have applied novel tools to aging research, yet the relationship between the gut microbiome and epigenetic aging r...

Artificial Intelligence in Clinical Genetics: Current Applications and Challenges.

Multiomics, next-generation, and long-read sequencing approaches have transformed the practice of medical genetics. Complex cases often require severa...

Perithyroidal Adipose Tissue Drives Thyroid Tumorigenesis through Adipokine Signaling and Immune Suppression.

The perithyroidal adipose tissue (PAT), given its direct anatomical proximity to the thyroid gland, has long been postulated as a modulator of the thy...