Infectious Disease

Bacterial Infection

Latest AI and machine learning research in bacterial infection for healthcare professionals.

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Showing 715-735 of 7,695 articles
A machine learning method for predicting molecular antimicrobial activity.

In response to the increasing concern over antibiotic resistance and the limitations of traditional ...

Feb 2025 39994442
Machine learning-based prediction model for patients with recurrent Staphylococcus aureus bacteremia.

BACKGROUND: Staphylococcus aureus bacteremia (SAB) remains a significant contributor to both communi...

Feb 2025 39994766
AI-augmented Biophysical modeling in thermoplasmonics for real-time monitoring and diagnosis of human tissue infections.

Identifying tissue infections from the body still poses an unprecedented challenge in society. Conve...

Feb 2025 40023011
Integrated learning framework for enhanced specific surface area, pore size, and pore volume prediction of biochar.

Specific surface area, pore size, and pore volume are essential biochar properties. Optimization typ...

Feb 2025 39988010
Machine learning detection of heteroresistance in Escherichia coli.

BACKGROUND: Heteroresistance (HR) is a significant type of antibiotic resistance observed for severa...

Feb 2025 39986174
Impact of Sepsis Onset Timing on All-Cause Mortality in Acute Pancreatitis: A Multicenter Retrospective Cohort Study.

BackgroundSepsis complicates acute pancreatitis (AP), increasing mortality risk. Few studies have ex...

Feb 2025 39967283
[Validation of a decision tree for selective dry cow therapy of dairy for a digital expert system].

In this study, a decision tree derived from scientific literature on selective dry cow therapy (ST),...

Feb 2025 39965578
Cloning, Characterization, and Computer-Aided Evolution of a Thermostable Laccase of the DUF152 Family From Klebsiella michiganensis.

Bacterial laccases exhibit relatively high optimal reaction temperatures and possess a broad substra...

Feb 2025 39950717
A diagnostic model for sepsis using an integrated machine learning framework approach and its therapeutic drug discovery.

BACKGROUND: Sepsis remains a life-threatening condition in intensive care units (ICU) with high morb...

Feb 2025 39953444
Artificial intelligence-driven approaches in antibiotic stewardship programs and optimizing prescription practices: A systematic review.

Antimicrobial stewardship programs (ASPs) are essential in optimizing the use of antibiotics to addr...

Feb 2025 39955846
EDSRNet: An Enhanced Decoder Semantic Recovery Network for 2D Medical Image Segmentation.

In recent years, with the advancement of medical imaging technology, medical image segmentation has ...

Feb 2025 40030272
RespBERT: A Multi-Site Validation of a Natural Language Processing Algorithm, of Radiology Notes to Identify Acute Respiratory Distress Syndrome (ARDS).

Acute respiratory distress syndrome (ARDS) is a severe organ dysfunction associated with significant...

Feb 2025 40030382
MSCMamba: Prediction of Antimicrobial Peptide Activity Values by Fusing Multiscale Convolution with Mamba Module.

Antimicrobial peptides (AMPs) have important developmental prospects as potential candidates for nov...

Feb 2025 39915928
Deep learning-driven bacterial cytological profiling to determine antimicrobial mechanisms in .

Tuberculosis (TB), caused by , remains a significant global health threat, affecting an estimated 10...

Feb 2025 39913203
End-To-End Deep Learning Explains Antimicrobial Resistance in Peak-Picking-Free MALDI-MS Data.

Mass spectrometry is used to determine infectious microbial species in thousands of clinical laborat...

Feb 2025 39893590
Machine learning reveals the dynamic importance of accessory sequences for outbreak clustering.

UNLABELLED: Bacterial typing at whole-genome scales is now feasible owing to decreasing costs in hig...

Jan 2025 39873499
Integrating Machine Learning with MALDI-TOF Mass Spectrometry for Rapid and Accurate Antimicrobial Resistance Detection in Clinical Pathogens.

Antimicrobial resistance (AMR) is one of the most pressing public health challenges of the 21st cent...

Jan 2025 39940908
Using machine learning to forecast peak health care service demand in real-time during the 2022-23 winter season: A pilot in England, UK.

During winter months, there is increased pressure on health care systems in temperature climates due...

Jan 2025 39869558
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