Genetics

Data-driven fuzzy information granulation for predicting freight volume trends.

Rail freight volume trend prediction faces challenges due to data fuzziness, complexity and nonlinearity, and traditional deterministic prediction methods frequently fall short of practical application needs, particularly in addressing uncertainty. To overcome these limitations, we proposed a freight volume trend prediction model that integrated Fuzzy Information Granulation (FIG) with evolutionar...

Multi-omics identification of aging-related diagnostic genes and therapeutic targets in renal fibrosis.

BACKGROUND: Renal fibrosis is a pathological hallmark of progressive chronic kidney disease, partly driven by aging-related molecular alterations. However, clinically relevant diagnostic biomarkers and therapeutic targets remain limited. METHODS: We integrated four GEO datasets (GSE76882, GSE65326, GSE22459, GSE7392) to identify aging-related differentially expressed genes (DE-ARGs) in renal fibro...

Next-generation gene editing strategies in cancer: Integrating CRISPR, PROTACs, and advanced molecular technologies.

Cancer is a significant therapeutic problem as tumors are heterogeneous, multidrug-resistant, and oncogenic drivers are undruggable. Genome editing an...

Advances in neuropharmacology: Innovative drug strategies targeting synaptic plasticity, neuroinflammation, and ion channel regulation for future CNS treatments.

As our understanding of the molecular and cellular mechanisms underlying central nervous system (CNS) disorders expands, neuropharmacology is undergoi...

Integrating protein and DNA embeddings for improving genome-wide transcription factor binding site prediction.

Transcription factors (TFs) regulate gene expression by binding to specific DNA sites on genome, making accurate TF binding site prediction critical f...

Genetics of bipolar disorder: Translating discoveries to biological insights and clinical decision support.

Bipolar disorder (BD) is a clinically heterogenous mental disorder with a diversity in clinical trajectories and treatment response. Twin studies have...

Deciphering spatial-temporal mechanisms of PD-1 blockade resistance via biologically informed machine learning.

Immune checkpoint inhibitors (ICIs), especially PD-1/PD-L1 blockade, have transformed cancer therapy; yet objective response rates to anti-PD-(L)1 mon...

Single-cell and spatial transcriptomic profiling of POU5F1 in Lung Adenocarcinoma: Dynamics, spatial niche, and prognosis via multi-algorithm ML.

BACKGROUND: POU5F1 (OCT4), a core regulator of pluripotency, plays an important role in tumor stemness and immune microenvironment remodeling, yet its...

Actually, what is a gain-of-function mutation?

For more than a century, scientists have worked to characterize, understand, and predict the consequences of mutations. For almost as long, scientists...

Hyperglycemia-driven metabolic memory signaling destabilizes METTL1 to trigger inflammatory hypertrophy and fibrosis in diabetic cardiomyopathy.

BACKGROUND: Diabetic cardiomyopathy (DCM) occurs in the context of coronary artery disease or pressure overload heart disease, characterized by altera...

Disparate language and model effects on AI-based translation and recognition of genetic conditions.

INTRODUCTION: Artificial intelligence (AI) is increasingly prevalent. Patients and clinicians may use AI-based tools in many different languages. OBJE...

AIEdit: Alignment-free genome assembly polisher trained on spaced seed match patterns.

Polishing, the process of correcting base-level errors in genome assemblies, is a critical step for ensuring accuracy in downstream analyses, such as ...

Improving predicted risk of recurrence using molecular profiling in papillary thyroid cancer.

Molecular testing can refine the prediction of cancer recurrence. We sought to compare patterns of gene expression in patients with and without recurr...

Mechanical fault diagnosis method based on multi-strategy improved SSA.

To address the unstable target localization and insufficient path planning efficiency caused by complex lighting and dynamic environments during autom...

A network medicine framework for multi-modal data integration in therapeutic target discovery.

The high cost and attrition rate of drug development underscore the need for more effective strategies for therapeutic target discovery. Here, we pres...

Machine learning-enabled smartphone CRISPR-Cas12a lateral flow platform for sensitive detection of circulating HPV DNA.

Persistent infection with high-risk human papillomavirus (HPV) is a major cause of cervical cancer, and improved point-of-care (POC) detection is crit...

Analytical approaches for the isolation and characterisation of circulating tumour cells in clinical practice.

Circulating tumour cells (CTC) are rare cells shed from primary and metastatic tumours into the bloodstream, representing a minimally invasive source ...

Establishing a competence model in discriminating Mycobacterium species and Mycobacterium abscessus subspecies by using surface-enhanced Raman spectroscopy.

Surface-enhanced Raman spectroscopy (SERS) is a powerful laser-based technique with high sensitivity and rapid detection. The present study aimed to e...

Artificial Intelligence Models Using Magnetic Resonance Imaging to Predict Response to Chemoradiotherapy in Rectal Cancer: A Systematic Review.

BACKGROUND: Pathological complete response (pCR) following neoadjuvant chemoradiotherapy (nCRT) in locally advanced rectal cancer (LARC) is a key prog...

xBind: an integrated webserver for large language model-enabled cross-molecular protein binding site prediction.

xBind is an interactive, freely accessible, and fully configurable webserver for large language model (LLM)-enabled cross-molecular protein binding-si...