COVID-19

Progress in structure prediction and design of adaptive immune receptors.

Adaptive immune receptors (AIRs), including antibodies and T-cell receptors (TCRs), mediate antigen recognition and represent a major class of therapeutic biomolecules. Their unique architecture, combining conserved framework with highly diverse complementarity-determining regions (CDRs), poses challenges for structure prediction and design. Recent advances in deep learning have transformed these ...

Clinical-Radiomics Model Based on T2-Weighted and Diffusion-Weighted Magnetic Resonance Images on Predicting "Double Gray Zone" Prostate Cancer of PSA and PI-RADS.

OBJECTIVES: This study aimed to develop a clinical-radiomics model based on T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI) to improve the diagnostic performance in the "double gray zone" population characterized by prostate-specific antigen (PSA) levels of 4-10 ng/mL and a Prostate Imaging Reporting and Data System (PI-RADS) score of 3. MATERIALS AND METHODS: A total of 93 eligibl...

Detection of periapical lesions in teeth with fixed prostheses using segmentation models and analyzing crown-lesion relationships.

STATEMENT OF PROBLEM: Periapical lesions in teeth with fixed prostheses often remain undiagnosed in routine panoramic radiographic evaluations, leadin...

The carbon reduction effect of China's national AI innovation pilot zone policy.

Artificial intelligence (AI) holds substantial potential for systemic optimization and carbon emission reduction, yet concerns remain over the carbon ...

Simulation of covariate and concept drift in machine learning hospital admission prediction from emergency triage.

Machine learning models that predict hospital admission at triage may support patient flow forecasting, yet the effects of covariate drift, concept dr...

Enhancing tumor T cell antigen prediction by integrating deep protein representations.

BACKGROUND: Cancer is a major threat to human health, and cancer immunotherapy is considered the most promising treatment option. It offers high effec...

Uncovering the mechanism of DCLK3 in colorectal cancer progression through WGCNA and machine learning.

BACKGROUND: Colorectal cancer (CRC) is a prevalent malignant tumor of the digestive tract with high morbidity and mortality rates. Although doublecort...

Bioinformatics analysis reveals the association of bile acid metabolism-related genes with sepsis.

BACKGROUND: Sepsis, is a life-threatening syndrome triggered by infection. Bile acid metabolism may be involved in the pathogenesis of sepsis, the und...

Longitudinal bilateral parotid delta-radiomic kinetics and variance signatures for prediction of late xerostomia following radiotherapy.

BACKGROUND AND PURPOSE: Radiation-induced xerostomia remains a significant concern in head-and-neck cancer radiotherapy, inadequately predicted, with ...

TimeSight: Kinetics-aware detection for digital nucleic acid amplification via spatiotemporal convolutional learning.

Digital nucleic acid amplification enables absolute molecular quantification by partitioning samples into thousands of micro-reactions, yet current an...

Prefrontal Connectivity Alterations and Oscillatory Dynamics in Cannabis Use Disorder.

Long-term cannabis use can result in the development of cannabis use disorder (CUD) and dependence via the endocannabinoid system pathway. A brain net...

Comprehensive Performance Testing and External Validation of an AI Algorithm to Detect and Segment Brain Metastases.

BACKGROUND: Artificial intelligence (AI)-based models have shown initial promise in imaging brain metastasis; however many lack validation against adv...

Celldetective, an AI-enhanced image analysis tool for unraveling dynamic cell interactions.

Analysis of multimodal and multidimensional data capturing dynamic interactions between diverse cell populations is a current challenge in bioimaging,...

Validation of EEG mental workload markers using integrated statistical and machine learning analyses.

AIM: Attentional and working-memory processes can be monitored noninvasively using electroencephalography (EEG), which provides physiological indices ...

Astragalus polysaccharide-based thermoresponsive hydrogel loaded with β-elemene nanoemulsion in combination with anti-PD-L1 therapy for triple-negative breast cancer.

Triple-negative breast cancer (TNBC) is classified as an immunologically cold tumor, which markedly weakens the therapeutic efficacy of immune checkpo...

An explainable AfroXLMR approach for multi-label emotion classification of Amharic social media text with dataset release.

Emotion detection from social media is crucial for understanding human emotions across languages. However, for low-resourced languages such as Amharic...

FABIAN-variant 2026: improved prediction of the effects of DNA variants on transcription factor binding.

Variants in promoters and enhancers can alter the binding of transcription factors (TFs), but their functional assessment remains difficult. FABIAN-va...

Cracking the code of heatstroke: new insights into diagnosis and pathological mechanisms.

As global temperatures continue to rise, the incidence and mortality rates of heatstroke (HS) have significantly increased. However, the current foren...

Mitochondrial dysfunction in peri-implantitis: bioinformatics and machine learning analysis with in vivo experiment.

This study aimed to identify mitochondria-related hub genes in peri-implantitis and to detect their expression in a Sprague-Dawley (SD) rat model. Hum...

Machine-Learning-Enabled Rapid Evolution of Photoenzymes for the Asymmetric Synthesis of gem-Difluorophosphonates.

gem-Difluorophosphonates are pivotal structural motifs in pharmaceuticals and bioactive molecules. While photoenzymatic catalysis provides a powerful ...