COVID-19

Transcription Factor SPI1 Mediates Chronic Neuropathic Pain by Activating NLRC4 Transcription to Drive Microglial Activation and Inflammation.

Microglial polarization plays a key role in the process of chronic neuropathic pain (CNP). This study aims to investigate the molecular mechanism by which the transcription factor SPI1 mediates microglial polarization and participates in CNP by regulating NOD-like receptor C4 (NLRC4) expression. The GSE124272 dataset (blood samples of 8 intervertebral disc degeneration patients and 8 controls) was...

Artificial intelligence algorithm for real-time detection and counting of Trypanosoma cruzi parasites using smartphone microscopy.

Chagas disease affects 6-7 million people worldwide and causes approximately 12,000 deaths annually. Diagnostic methods vary by disease stage, with serological tests commonly used in the chronic phase, while microscopy and molecular techniques like PCR and LAMP are employed in the acute phase. While microscopy remains the most accessible tool in resource constrained settings, its effectiveness dep...

Global Perspectives on CNS Drug Innovation: Achievements, Barriers, and Priorities for the Next Decade.

BACKGROUND: Over the past decade, neuropsychopharmacology has shifted from stagnation to momentum, with first-in-class mechanisms and biomarker-enable...

A comparison of two- and three-dose MVA-BN mpox vaccination series on anti-monkeypox virus immunity.

The 2022 global outbreak of clade IIb mpox represented a turning point in public health's handling of poxviruses. The primary vaccine available for th...

Machine learning-based prognostic signature integrating mitochondrial function and programmed cell death patterns in pancreatic adenocarcinoma.

The interplay between mitochondria and programmed cell deaths (PCD) is associated with tumor pathogenesis. However, the specific roles of genes relate...

Integrative transcriptomic and machine learning approach reveals key DDR genes and predictors of ami risk in the Bangladeshi population.

Acute Myocardial Infarction (AMI) is a significant contributor to cardiovascular death, with rising prevalence in Bangladesh. Although DNA damage cont...

Multi-pathway feature-level interpretability in MHC-I antigen presentation via concept-based modeling.

Accurate prediction of MHC-I antigen presentation is central to neoantigen discovery and immunotherapy development. Although recent deep-learning base...

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. How...

Patentability of antibodies in the artificial intelligence era.

Artificial intelligence can accelerate antibody discovery, potentially reshaping how inventions must be disclosed while raising standards for truly cr...

Use of hydrogen deuterium exchange mass spectrometry in tandem with modern structural biology.

Hydrogen-deuterium exchange mass spectrometry (HDX-MS) is an established technique that measures the exchange rate of amide hydrogens, with this excha...

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...

Deep learning model for genotype prediction from echocardiographic videos in non-ischaemic dilated cardiomyopathy.

AIMS: Non-ischaemic dilated cardiomyopathy (DCM) is frequently characterized by the presence of pathogenic germline variants, and genotype positivity ...

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...

Short-horizon PM2.5 forecasting from multi-station networks: a mask-aware, leakage-safe framework.

Accurate short-horizon forecasts of fine particulate matter (PM₂.₅) at station resolution are critical for advisories, clinical preparedness, and epis...

Controlled human malaria infection in adults identify combinations of merozoite antigens associated with clinical immunity.

Two vaccines are currently licensed against Plasmodium falciparum malaria but offer only partial protection that wanes, necessitating repeated dosing ...

Deep learning model development and clinical validation for radiographic surrogate markers of implant esthetic risk.

Reliable risk assessment for implant-supported restorations in the esthetic zone is critical yet challenging due to complex anatomical variations and ...

Prediction of tumor regression grading in rectal cancer neoadjuvant chemoradiotherapy: a habitat radiomics analysis of imaging biomarker.

BACKGROUND: Tumor regression grading (TRG) is a core prognostic predictor of treatment outcomes in rectal cancer. Conventional TRG assessment methods ...

Identifying factors associated with vaping cessation in young adults: A machine learning and XAI approach.

The public health impact of vaping in the United States reflects a complex balance of potential benefits and emerging risks, as e‑cigarettes may reduc...

Anatomical deformation prediction using artificial intelligence for fusion imaging during aortic endovascular procedures.

Placement of an aortic stent graft induces anatomical deformations, particularly at the iliac level, because of the introduction of rigid devices. Ant...

Adaptive Deep Learning for High-Fidelity Quantitative Single-Molecule Imaging.

Accurate quantification of molecular dynamics in live cells is critical for elucidating receptor signaling and guiding therapeutic strategies. Yet cur...