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Universal precautions

Latest AI and machine learning research in universal precautions for healthcare professionals.

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Early antifungal resistance prediction based on MALDI-TOF mass spectrometry and machine learning

Antimicrobial resistance (AMR) is a significant global health threat. Recent studies have shown that...

ESMDynamic: Fast and Accurate Prediction of Protein Dynamic Contact Maps from Single Sequences

Understanding conformational dynamics is essential for elucidating protein function, yet most deep l...

Artificial Intelligence for Genomics and Bioinformatics: Is Africa Lagging Behind?

Africa’s diverse pathogen and human genetics present significant opportunities for genomic medicine ...

A fully-open structure-guided RNA foundation model for robust structural and functional inference

RNA language models have achieved strong performances across diverse down-stream tasks by leveraging...

HPInet: Interpretable prediction of Host-Pathogen protein-protein Interactions using a transformer-based neural network

Gram-negative bacteria utilize a series of secretion systems (T1SS-T10SS) to deliver secreted effect...

Metabolomics-Guided Machine Learning Reveals Diagnostic and Mechanistic Biomarkers in CHB with MASLD

Metabolic dysfunction–associated steatotic liver disease (MASLD) often coexists with chronic hepatit...

BRAVE: a highly accurate method for predicting HIV-1 antibody resistance using large language models for proteins

Broadly neutralizing antibodies (bNAbs) that target the envelope glycoprotein (Env) of human immunod...

Decoding the interconnected splicing patterns of hepatitis B virus and host using large language and deep learning models

Hepatitis B virus (HBV) infection causes approximately one million deaths annually and remains a maj...

Bat anthropogenic roosting ecology influences taxonomic and geographic predictions of zoonotic risk

The ability of wildlife to live in anthropogenic structures is widely observed across many animal sp...

Predicting antifolate resistance in the unculturable fungal pathogen Pneumocystis jirovecii

Pneumocystis jirovecii is a fungal pathogen causing Pneumocystis pneumonia in humans, mainly in immu...

Novel Machine Learning-based Approach to Identify Viral Biomarkers of Human Respiratory Emissions from Oral and Nasal Metagenomes

Humans spend approximately 90% of their lives in built environments, making virus transmission indoo...

T-cell receptor specificity landscape revealed through de novo peptide design

T-cells play a key role in adaptive immunity by mounting specific responses against diverse pathogen...

ppIRIS: deep learning for proteome-wide prediction of bacterial protein-protein interactions

Protein–protein interactions (PPIs) are central to cellular processes and host–pathogen dynamics, ye...

Geno2pheno[bNAbs]: Interpretable and accurate HIV antibody resistance prediction

Antiretroviral therapy (ART) is a life saving option for people living with HIV-1 (PLWH) and is effe...

A comparative study of plant phenotyping workflows based on three-dimensional reconstruction from multi-view images

With the world facing escalating food demand, limited agricultural land, and environmental change, t...

Hyperspectral image analysis for classification of multiple infections in wheat

Plant diseases can cause heavy yield losses in arable crops resulting in major economic losses. Effe...

Robust and accurate diagnosis of infectious skin diseases from histopathology images by integrating deep learning and explainable AI

Accurate diagnosis of infectious skin diseases remains a major challenge, particularly for neglected...

Application and Characterization of the Multiple Instance Learning Framework in Flow Cytometry

For decades, flow cytometry has allowed for single-cell profiling based on selected biomarkers and i...

Decoding emergent properties of microbial community functions through sub-community observations and interpretable machine learning

The functions of microbial communities, including substrate conversion and pathogen suppression, ari...

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