Genetics

[Gastric function-preserving surgery (precision surgical treatment): breakthroughs in inheritance, advance in innovation].

Amid the developmental wave of "making breakthroughs while inheriting and forging ahead through innovation" in the field of gastrointestinal surgical diagnosis and treatment, the therapeutic concept of gastric cancer has undergone an in-depth transformation from the traditional "radical cure first" to "equal emphasis on radical cure and function preservation". As the core practice of this transfor...

[Centennial evolution and innovative practices of functional protection in colorectal cancer surgery].

In the over-century-long history of colorectal tumor surgery, achieving organ function preservation has consistently been a central topic. Currently, advancements in surgical techniques, updates in surgical platforms, and the development of multidisciplinary comprehensive treatment models have collectively driven the inheritance and evolution of theories and technologies for organ function preserv...

[Sphincter-preserving surgery for rectal cancer--From limits to perfection].

Sphincter-preserving therapy for low rectal cancer has always been a difficult and hot topic in colorectal cancer. Advanced understanding of the biolo...

NIPSNAP3B elevates mitochondrial biogenesis to attenuate lipid accumulation in childhood obesity via AMPK pathway.

OBJECTIVE: Childhood obesity (CO) has become a global epidemic, leading to rising burden of many diseases and premature death. Thus, this study was co...

A machine learning model for predicting complete virological response in chronic hepatitis B patients receiving first-line nucleos(t)ide analogues therapy.

BACKGROUND: Complete virological response (CVR) is the primary goal of nucleos(t)ide analogues (NAs) therapy for chronic hepatitis B (CHB) patients. T...

PHLDB1 and WDFY4 as dual-state biomarkers in SLE pathogenesis and lupus nephritis prediction.

OBJECTIVES: Our previous study confirmed systemic lupus erythematosus (SLE) associated with polymorphisms of PHLDB1 and WDFY4 genes. In this study, we...

Breast cancer frontiers: mapping molecular signals, intelligent diagnostics, and adaptive therapies.

Breast cancer continues to be a significant worldwide health concern, requiring ongoing improvements in early detection, therapeutic approaches, and c...

Sickle cell disease detection in low-resource conditions using transfer-learning and contrastive-learning coupled with XAI.

Sickle cell disease (SCD) is a severe hereditary blood disorder that affects millions worldwide, necessitating early and accurate detection to improve...

Research on the molecular mechanism of celastrol targeting CTNNB1/STAT3 to inhibit uveal melanoma based on network pharmacology and multi-omics analysis.

Uveal melanoma (UM) is among the most prevalent intraocular malignant tumors worldwide. Celastrol exhibits broad-spectrum anticancer properties; howev...

The impact of AI on modern oncology from early detection to personalized cancer treatment.

Artificial intelligence (AI) is quickly becoming a revolutionary and game-changing tool in modern oncology, with promising uses in early diagnosis and...

EDEN: multiscale expected density of nucleotide encoding for enhanced DNA sequence classification with hybrid deep learning.

BACKGROUND: DNA sequences are fundamental carriers of genetic information, and their accurate classification is essential for understanding gene regul...

Utilization of machine learning algorithms for the identification of the RLN associated prognostic model and feature biomarkers of RLN-related subtypes in breast cancer.

BACKGROUND: Breast cancer (BC) is the most common malignancy afflicting women worldwide, yet the role of relaxin-related genes (RLN) in BC progression...

Collaborative breakthroughs in precision diagnosis and treatment of nasopharyngeal cancer: Biomarker‑driven screening and endoscopic minimally invasive surgery reshape the new paradigm of early intervention (Review).

The management of nasopharyngeal carcinoma (NPC), a malignancy with pronounced geographic prevalence in Southeast Asia, is undergoing a paradigm shift...

From Tissue Archives to Liquid Biopsy: Transfer Learning for MicroRNA-Based Lung Cancer Diagnosis.

Serum microRNA-based liquid biopsy holds a great application prospect in noninvasive lung cancer diagnosis. However, building an efficient serum-based...

Protein language models trained on biophysical dynamics inform mutation effects.

Structural dynamics are fundamental to protein functions and mutation effects. Current protein deep learning models are predominantly trained on seque...

Optical photothermal infrared (OPTIR) spectroscopy assisted by machine learning for lactic acid bacteria identification at strain level.

Lactic acid bacteria (LAB) are widely used in food, health, and biotechnology sectors, where accurate strain level identification is critical. Convent...

TransSE: A Transfer Learning-Based Predictive Model for Distinguishing Super Enhancers and Typical Enhancers.

Super-enhancers (SEs), comprising clusters of transcriptional regulatory elements, play essential roles in gene expression regulation and cell fate de...

Machine Learning for RNA Secondary Structure Prediction: a review of current methods and challenges.

Predicting the secondary structure of RNA is a core challenge in computational biology, essential for understanding molecular function and designing n...

An integrated machine learning framework for developing a transcriptomic analysis and machine learning-based diagnostic model of gout based on sleep disorder-related genes.

Gout, often comorbid with sleep disorders (SDs), is prevalent in inflammatory arthritis. This comorbidity is notable in patients with impaired renal f...

The multi-omics and Mendelian randomization analyses unveiled potential marker genes in the progression of glioblastoma.

In glioma research, identifying key molecules for predicting patient prognosis is challenging due to high heterogeneity. This study explores the corre...