COVID-19

Characterising oral microbial signatures for periodontal disease in the NHANES population.

OBJECTIVE: This study aims to characterise the relationship between the oral microbiota and periodontal disease (PD) by leveraging the latest and largest oral microbiota database from the US National Health and Nutrition Examination Survey (NHANES). METHODS: This study represented a secondary analysis of publicly available data from the NHANES 2009-2012 cycle. Within this dataset, subjects with PD...

Development of Machine Learning Models for Predicting Prostate Cancer in Biopsy Candidates Using Prostate-Specific Antigen, Magnetic Resonance Imaging, and Hematologic Parameters.

INTRODUCTION: Prostate-specific antigen (PSA) alone is insufficient for the diagnosis of prostate cancer (PCa), particularly within the gray zone range of 4-10 ng/mL. Multiparametric magnetic resonance imaging (mpMRI), although widely used, has notable limitations in the diagnostic pathway. The aim of this study was to develop a biopsy prediction model by evaluating multiple machine learning (ML) ...

PEG-Modified Selenium Nanoparticles Dramatically Increases Antibody Binding Sites for Ultrasensitive Point-of-Care Detection of NT-proBNP.

Portable disease monitoring is made possible by point-of-care testing (POCT), which can help prevent clinical deterioration. The widespread adoption o...

Machine learning-based prediction of postoperative delirium from intraoperative EEG signal alterations in brain functional connectivity.

OBJECTIVES: Postoperative delirium (POD) is a frequent complication following cardiovascular surgery and requires timely intervention. While early ris...

WGCNA and machine learning identify mitochondria programmed cell death-related genes as diagnostic biomarkers for septic shock.

Septic shock (SS), the most severe stage of sepsis, has a high mortality rate. Mitochondria-mediated programmed cell death (MPCD) plays a key role in ...

Artificial intelligence and multi-omic empowered-tracing macrophage diagnostic and druggable implications in coronavirus pneumonia.

BACKGROUND: As the innate immune barrier, macrophages play an important role in coronavirus infection pneumonia and post-infection regeneration. OBJEC...

Artificial Intelligence and Multiomics Beyond PSA Screening in African and Middle Eastern Prostate Cancer Patients.

Prostate cancer (PCa) remains a major global health burden, with incidence rising as populations age. The molecular, histological, and patient-specifi...

An improved dataset for predicting mammal infecting viruses from genetic sequence information.

There have been several attempts to develop machine learning (ML) models to identify human infecting viruses from their genomic sequences, with varyin...

Parvalbumin Neuron-Targeted Loss of Alzheimer's Disease Risk Gene BIN1 Is Insufficient to Drive Cognitive or Network Excitability Changes.

Bridging integrator 1 (BIN1) is one of the strongest genetic risk factors for Alzheimer's disease (AD), yet its function in the brain and role in AD r...

Leveraging weighted embedding and Transformer architecture to improve phenotype prediction of complex traits for crops.

Understanding the relationship between genomic variation and phenotype is fundamental to deciphering the genetic architecture underlying complex trait...

Development and validation of a highly accurate multigene gene expression biomarker to predict chemotherapy response in primary triple-negative breast cancer.

PURPOSE: Triple-negative breast cancer (TNBC) is an aggressive subtype lacking estrogen and progesterone receptors and HER2 amplification. Representin...

A Deep Learning-Driven Framework Integrating Organoid-Based Functional Validation Identifies Universal Neoantigens from Recurrent Glioma Mutations.

Glioblastoma (GBM) is the most common malignant intracranial tumor in adults, with a median survival of only 16-20 months. Neoantigen therapy has show...

Enriched resting-state EEG prediction of cognitive decline in prodromal Alzheimer's disease: a machine-learning approach.

OBJECTIVE: We evaluated the accuracy of standard machine learning (ML) algorithms in predicting 1-year cognitive decline in Alzheimer's disease patien...

Ultrasound Localization Microscopy Learned from power doppler by uncertainty frequency density estimation and semantic consistency awareness.

Ultrasound Localization Microscopy (ULM) achieves micron-level vascular visualization beyond the resolution of conventional ultrasound imaging by trac...

Integrating Mechanistic Modeling and Machine Learning to Study CD4+/CD8+ CAR-T Cell Dynamics with Tumor Antigen Regulation.

Chimeric antigen receptor (CAR) T cell therapy has shown remarkable success in hematological malignancies, yet patient responses remain highly variabl...

[Digital intelligence empowerment for future bioengineering education building a competency based teaching system under emerging engineering paradigm].

Leveraging a solid foundation in engineering education, we have built a bioengineering talent development system tailored to intelligent biomanufactur...

Metagenomic analysis of the gut microbiota in Cryptosporidium-infected Tibetan sheep.

Cryptosporidium are important causative parasitic protozoa that cause gastrointestinal discomfort and diarrhea in humans and animals, posing a huge th...

AI-discovered cellular morphometric biomarkers in needle biopsy of prostate cancer predict neoadjuvant androgen deprivation therapy response and enable therapeutic targeting of mTOR in androgen deprivation therapy-resistant tumors.

It is imperative to identify patients with prostate cancer (PCa) who will not benefit from androgen receptor signaling inhibitors and to improve their...

Bioinformatics and machine learning identify ITIH4 and ZC3H13 as novel mRNA biomarkers for major depressive disorder that promote microglial M1 polarization.

UNLABELLED: Major depressive disorder (MDD), a prevalent mental illness, currently lacks reliable biomarkers and depends predominantly on subjective d...

Biotechnology advances and the parasitology paradigm: From genomes to multi-omics and translation.

Parasitic diseases impose a substantial and often underestimated burden on human and animal health, food security and economic development. Over recen...