Genetics

Revealing and validating the biomarkers associated with demethylation in major depressive disorder: comprehensive insights based on bulk RNA sequencing data, single-nucleus RNA sequencing data, and clinical experiments.

BACKGROUND: The demethylation is suspected to play a role in the development of major depressive disorder (MDD), but the precise biological mechanisms remain unclear. Therefore, this study aimed to investigate biomarkers linked to demethylation in MDD by integrating bulk RNA sequencing (bulk RNA-seq) data and single-nucleus RNA sequencing (snRNA-seq) data. METHODS: The bulk RNA-seq data and snRNA-...

RETRACTED: Polygenic risk score and prostate specific antigen predict death from prostate cancer in men with intermediate aggressive cancer.

Polygenic risk scores (PRS) and the prostate specific antigen (PSA) test have been shown to be successful tools for predicting prostate cancer (PCa) incidence. In this study, we assessed the potential of combining PRS and PSA as biomarkers for PCa aggressiveness and subsequent mortality from patients with low to intermediate risk PCa from the TAPG-TURP cohort. Targeted sequencing of 140 PCa-relate...

AutoSGRL: Automated framework construction for self-supervised graph representation learning.

Automated machine learning (AutoML) is a promising solution for building a machine learning framework without human assistance and has attracted signi...

Development and validation of a breast cancer survival prediction model based on perioperative anesthesia-related drug target genes and analysis of immune microenvironment and drug sensitivity.

INTRODUCTION: This study aimed to create a survival prediction model for breast cancer(BC) using perioperative anesthesia - related drug target genes(...

Cutting-edge nanobiosensors: Revolutionizing cancer diagnosis and enabling precision medicine.

Integrating nanotechnology and artificial intelligence (AI) revolutionizes cancer diagnostics, propelling precision medicine into a transformative era...

Decoding the gut microbiota metabolite-matrix metalloproteinase-3 axis in breast cancer: a multi-omics and network pharmacology study.

Breast cancer is a malignant tumor originating from the breast epithelium, and emerging evidence suggests that the gut microbiota influences its devel...

Recent biotechnological advances in bioprospecting secondary metabolites from endolichenic fungi for drug discovery applications.

Endolichenic fungi (ELF) are symbiotic organisms residing in lichens. Since the initial report of its application in natural products and drug discove...

Elucidating anti-triple-negative breast cancer mechanisms and mitigating toxicity of Fritillaria thunbergii Miq.: A multi-omics and network pharmacology approach.

ETHNOPHARMACOLOGICAL RELEVANCE: Fritillaria thunbergii Miq. (Zhebeimu, ZBM) is traditionally recognized in Chinese medicine for its effects of clearin...

Advances in high-throughput drug screening based on pharmacotranscriptomics.

BACKGROUND: Drug screening constitutes the predominant paradigm for novel drug discovery. With the development of omics, drug screening has gradually ...

Diagnosis of leukemia using microarray analysis based on Hidden Markov Model and Random Convolutional Kernel Transform.

INTRODUCTION: Leukemia is one of the most prevalent cancers worldwide, and early detection is critical for effective treatment. Microarray data is a k...

Harnessing biomarkers to guide immunotherapy in esophageal cancer: toward precision oncology.

Esophageal cancer (EC) is one of the most serious health issues around the world, ranking seventh among the most lethal types of cancer and eleventh a...

Artificial intelligence-assisted assessment of metabolic response to tebentafusp in metastatic uveal melanoma: a long axial field-of-view [18F]FDG PET/CT study.

PURPOSE: Tebentafusp has emerged as the first systemic therapy to significantly prolong survival in treatment-naïve HLA-A*02:01 + patients with unrese...

Integrated machine learning-based RNA sequencing and single-cell analysis reveal RNA methylation regulation patterns in the immune microenvironment of Alzheimer's disease.

Residual disease in NPM1-mutated acute myeloid leukemia.

Acute myeloid leukemia (AML) represents a genetically heterogeneous malignancy, with mutations in the nucleophosmin-1 (NPM1) gene identified as the mo...

Chromosome Image Classification Using Edge Fusion Attention Network.

Identification of chromosome pairs is important for karyotype generation and genetic disease prediction. Conventional methods tend to fail with struct...

Metagenomics reveals potential antimicrobial peptides in Chinese baijiu fermentation.

Antimicrobial peptides (AMPs) from food fermentation microbiota hold promise for food preservation and as potential antimicrobial agents. However, the...

Novel risk calculator predicting long-term survival in pediatric versus adult patients diagnosed with spinal low-grade glioma: a nationwide analysis.

BACKGROUND CONTEXT: Spinal low-grade gliomas (SLGGs) are rare, slow-growing central nervous system tumors affecting both pediatric and adult populatio...

Identification of key genes in intracranial aneurysm via WGCNA: insights into immune microenvironment and therapeutic targets.

BACKGROUND: Intracranial aneurysms (IA) are prevalent vascular lesions whose rupture causes subarachnoid hemorrhage with high disability and mortality...

2.5 dimensional multimodal MRI improves convolutional neural networks performance in predicting the IDH mutation status of adult diffuse gliomas.

Machine Learning in Venous Thromboembolism-Why and What Next?

Venous thromboembolism (VTE) remains a leading cause of cardiovascular morbidity and mortality, despite advances in imaging and anticoagulation. VTE a...