Genetics

Bioinformatics roadmap for characterizing the gut microbiome to study its interactions and associations with the gut mucosal immune system.

Cataloging the gut microbiome and understanding its interactions and association with the host immune system remains relevant to identify potential treatments for complex chronic diseases, including cancer. Studying the gut microbiome is more accessible than ever, thanks to the dramatic cost reduction of sequencing and the continuous improvements in bioinformatics and machine learning approaches. ...

Early Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer using a Longitudinal US-based Stack-model.

RATIONALE AND OBJECTIVES: To evaluate the diagnostic performance of a longitudinal ultrasound (US)-based stack-model for early prediction of pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in breast cancer, as well as its practicality in assisting radiologists with diagnostic ability. MATERIALS AND METHODS: A total of 974 patients who underwent NAC were retrospectively inclu...

Genetic suppressors as new therapeutic targets for Mendelian diseases.

Most Mendelian diseases lack effective treatments, with current options often limited to symptomatic care rather than addressing the underlying geneti...

Integrated bioinformatics analysis reveals fatty acid metabolism subtypes and immune landscape in recurrent implantation failure.

Microarray and RNA-sequencing datasets for recurrent implantation failure (RIF) were retrieved from the Gene Expression Omnibus (GEO) database. Differ...

Integrating machine learning and structure-based simulations to prioritise Z4P as a mutation-resilient IRE1α inhibitor for breast cancer.

Breast cancer is one of the most prevalent and lethal malignancies affecting women globally. The increasing resistance to current therapeutic strategi...

A deep learning-based framework for fundus image classification of inherited retinal degeneration in dogs.

Inherited retinal degenerations (IRDs) are a frequent cause of vision impairment in numerous breeds of dogs. Veterinary ophthalmologists frequently su...

A review of bloodstream infections-pathogens, pathogenesis, diagnostic strategies, treatment methods-challenges and future aspects.

PURPOSE: Bloodstream infections (BSIs) remain a major cause of morbidity and mortality worldwide and continue to represent a substantial challenge to ...

Imaging-Derived Sarcopenic Obesity and Cardiovascular Outcomes: Insights Into Heart Failure Risk and Muscle Biology.

BACKGROUND: The prognostic value of obesity in cardiovascular disease is complex. Measures such as body mass index and waist-to-height ratio show diff...

Spiking Neural P Systems for Conversion Between Number Systems.

A number system is a method for representing numbers. Efficient conversion between digital systems is crucial in human-computer interaction and comput...

Recurrent Neural Network Based on DNA Strand Displacement Circuits and Its Application in Location Prediction.

With the rapid development of science and technology, various intelligent devices continuously generate large amounts of real-time location data. Effi...

From heterogeneity to mechanism: a systems-level analysis pinpoints the S100A8/A9 axis in colorectal cancer.

BACKGROUND: The functional roles of the S100 protein family in colorectal cancer (CRC) are enigmatic, marked by widespread dysregulation but limited p...

AI in Genomics: From Variant Calling to Multi-Omics Integration.

Artificial intelligence (AI) strategies are revolutionizing genomics by extracting complex patterns that traditional statistical pipelines are likely ...

Identification of PRKCB, NLRC4, and TNFSF10 as Key Regulators of the Lipid Metabolism-Autophagy Network in Atherosclerosis.

BACKGROUND: The occurrence and development of atherosclerosis (AS) are closely related to disorders of lipid metabolism and dysfunction of autophagy. ...

Integrative multi-omics and machine learning reveal PLAUR as a Pan-Cancer prognostic biomarker and potential therapeutic target.

Tumor heterogeneity remains a major barrier to effective cancer therapy, driving the need for novel biomarkers and targeted strategies. A bibliometric...

Unraveling the adverse outcome pathways of metabolic dysfunction-associated steatotic liver disease triggered by environmental mixtures via biological knowledge-driven machine learning.

Environmental pollutant mixtures are potential risk factors for metabolic dysfunction-associated steatotic liver disease (MASLD), yet their joint effe...

Integrative machine learning and CRISPR/Cas9 analysis reveals the role of APOE in lipid metabolism-associated kidney fibrosis.

Kidney fibrosis, characterized by excessive extracellular matrix deposition and progressive renal tissue remodeling, frequently culminates in End-stag...

Social Determinants of Health in Psychiatric Disorders: Exciting Opportunities for Biopsychosocial Research and Clinical Care.

Social determinants of health (SDoHs) are increasingly recognized as important contributors to the development, course, and outcomes of psychiatric di...

Analysis of end-stage renal disease mediated by cuproptosis-related genes.

OBJECTIVE: The complex pathophysiological mechanism of end-stage renal disease (ESRD) has not been fully understood. Cuproptosis is a newly discovered...

Exploring Complex Genetic Mechanisms in Brain Imaging Genetics via a New Multi-task Learning Method.

Brain imaging genetics generally combines genotype data with brain structure and functional measures to investigate the genetic basis of neurological ...

DeepMethylation: A deep learning framework for tissue-specific DNA methylation prediction and functional variant annotation.

DNA methylation is a key epigenetic modification that regulates gene expression and plays a vital role in cell differentiation, development, and tumor...