Genetics

Artificial Intelligence for Genetic Cancer Risk Assessment in Gynecologic Oncology: A Review of the Current Landscape and Future Directions.

Hereditary cancer syndromes are associated with up to 25% of ovarian and 5% of endometrial cancers, yet rates of genetic testing and counseling remain low. Artificial intelligence (AI) offers new opportunities to streamline risk assessment, enhance gene variant interpretation, and expand access to genetic counseling. This narrative review synthesizes current evidence on AI applications in gynecolo...

Automated CT-derived body composition predicts pathologic response to neoadjuvant immunotherapy in non-small cell lung cancer.

Tumor-intrinsic biomarkers alone insufficiently predict pathological complete response (pCR) to neoadjuvant immunochemotherapy (NICT) in non-small cell lung cancer (NSCLC). Artificial intelligence (AI)-based three-dimensional CT-derived body composition may provide complementary predictive value. We evaluated its association with pCR following NICT in NSCLC. This multicenter retrospective study of...

Integration of inter-simple sequence repeats with machine learning approach for diversity analysis and authentication of Iranian cotton cultivars.

Cotton (Gossypium hirsutum L.) has experienced extensive breeding in recent decades, leading to a narrowed genetic base that presents challenges for a...

Mitigating psychological stress-induced cardiac injury: The impact of CB2R agonists on endoplasmic reticulum stress and mitophagy.

BACKGROUND: Psychological stress is a recognized contributor to cardiac injury and disease; however, the molecular mechanisms underlying this relation...

Interpretable Aging Signatures in Human Retinal Cell Types Revealed by Single-Cell RNA Sequencing and Sparse Logistic Regression.

PURPOSE: To characterize cell-type-specific transcriptional changes during human retinal aging and develop machine learning (ML) model for cellular ag...

Integrated bioinformatics and clinical validation reveals PRDX6 as a mitochondrial hub gene in systemic lupus erythematosus.

OBJECTIVES: Peroxiredoxin 6 (PRDX6), a potent antioxidant enzyme, has garnered considerable interest for its potential involvement in inflammatory dis...

Single‑cell mapping of neutrophil extracellular trap signatures in lung adenocarcinoma reveals immune landscapes, prognostic potential, and therapeutic targets.

Neutrophil extracellular traps (NETs) have emerged as key modulators in the tumor microenvironment, yet their cellular heterogeneity, molecular mechan...

Artificial intelligence in metagenome-assembled genome reconstruction: Tools, pipelines, and future directions.

Metagenomic sequencing has revolutionised the field of microbial ecology, as it has led to cultivation-independent exploration of complicated microbia...

AI-aided virtual screening and biological evaluation for discovering new potential poly (ADP-ribose) polymerase-1 (PARP-1) inhibitors.

Poly (ADP-ribose) polymerase-1 (PARP-1) is a key DNA repair enzyme targeted in cancer therapy. We developed an AI-assisted virtual screening workflow ...

Immunomodulatory Agents and Factors in Poor Hematopoietic Stem Cell Mobilization: Current Strategies and Future Prospects.

UNLABELLED: Hematopoietic stem cell (HSC) mobilization is a critical step in bone marrow transplantation for treating hematological malignancies and o...

Identification and validation of key autophagy-related genes in Lupus nephritis.

OBJECTIVES: Lupus nephritis (LN) is one of the most common complications of systemic lupus erythematosus. This study aimed to identify key autophagy-r...

Bridging process diversity in cell therapies toward standardization of manufacturing workflows.

Cell therapies offer transformative potential for a wide range of diseases. However, their manufacturing remains complex due to the inherent variabili...

Accelerating genetic gain through integrated genomic selection in crop plants.

Meeting the projected 70% rise in agricultural output by 2050 to sustain a global population of 9.6 billion poses a formidable challenge amid intensif...

A droplet digital LAMP-based lab-on-a-disc system for multiplex allele-specific detection of tumor-derived DNA mutations.

The absence of accurate, rapid, fully automated, and cost-effective detection methods has hindered the clinical translation of tumor-derived DNA mutat...

Artificial intelligence in diagnostic, prognostic, and predictive genomic biomarkers for prostate cancer: Ready for prime time?

INTRODUCTION: Until recently, the widespread use of genetic markers in prostate cancer (PCa) has been limited by the complexities and cost of genomic ...

Network toxicology and multi-omics analyses identify diagnostic genes and elucidate underlying mechanisms of 6PPDQ-induced hepatocellular carcinoma.

With the rapid expansion of tire production, the antioxidant N-(1,3-dimethylbutyl)-N'-phenyl-p-phenylenediamine (6PPD) and its transformation product,...

1-oxa-3,7-diazaspiro[4.5]decan-2-one derivatives as potent KRAS-G12D inhibitors: A multidisciplinary approach integrating machine learning, synthesis, and biological evaluation.

Oncogenic RAS mutations, which are common in human tumors and occur in about 30 % of cancer cases, present significant challenges to effective cancer ...

DNA-Encoded Chemical Library Screening with Target Titration Analysis: DELTA.

DNA-encoded chemical libraries (DELs) enable the highly efficient screening of billions of small molecules for binding to a target of interest and pro...

Metabolic-immune interactions in gastric cancer T cells: A single-cell atlas for prognostic biomarker identification.

Metabolic alterations and immune dysfunction within the gastric tumor microenvironment critically drive gastric cancer (GC) progression and therapeuti...

UniSplicer: A deep-learning framework for accurate splice-site prediction and splice-altering mutation detection across diverse taxa.

RNA splicing removes non-coding introns from pre-mRNA to generate mature mRNA in eukaryotes, and accurate identification of splice sites is essential ...