Infectious Disease

Latest AI and machine learning research in infectious disease for healthcare professionals.

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Identification of potential biomarkers for 2022 Mpox virus infection: a transcriptomic network analysis and machine learning approach.

Monkeypox virus (MPXV), a zoonotic pathogen, re-emerged in 2022 with the Clade IIb variant, raising ...

Machine Learning Potential for Identifying and Forecasting Complex Environmental Drivers of Infections in the United States.

BACKGROUND: Environmental change in coastal areas can drive marine bacteria and resulting infections...

Nanobody screening and machine learning guided identification of cross-variant anti-SARS-CoV-2 neutralizing heavy-chain only antibodies.

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) continues to persist, demonstrating the...

Leveraging AI-driven nudge theory to enhance hand hygiene compliance: paving the path for future infection control.

Hand hygiene is critical for preventing infections, yet maintaining compliance remains challenging a...

The clinical prediction model to distinguish between colonization and infection by .

OBJECTIVE: To develop a machine learning-based prediction model to assist clinicians in accurately d...

Predicting Postoperative Infection After Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy with Splenectomy.

BACKGROUND: Hematologic changes after splenectomy and hyperthermic intraperitoneal chemotherapy (HIP...

Pre-trained Maldi Transformers improve MALDI-TOF MS-based prediction.

For the last decade, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (M...

Interpretable COVID-19 chest X-ray detection based on handcrafted feature analysis and sequential neural network.

Deep learning methods have significantly improved medical image analysis, particularly in detecting ...

Deep learning-based image classification reveals heterogeneous execution of cell death fates during viral infection.

Cell fate decisions, such as proliferation, differentiation, and death, are driven by complex molecu...

Closing the loop: establishing an autonomous test-learn cycle to optimize induction of bacterial systems using a robotic platform.

One goal of synthetic biology is to provide well-characterised biological parts that behave predicta...

Global insights into MRSA bacteremia: a bibliometric analysis and future outlook.

BACKGROUND: Methicillin-resistant (MRSA) bloodstream infections (BSIs) pose a significant challenge...

Machine learning prediction models for mortality risk in sepsis-associated acute kidney injury: evaluating early versus late CRRT initiation.

BACKGROUND: Sepsis-associated acute kidney injury (S-AKI) has a significant impact on patient surviv...

Robotic versus manual disinfection of global priority pathogens at COVID-19-dedicated hospitals.

BACKGROUND: Twelve bacterial families identified as global priority pathogens (GPPs) pose the greate...

Bacteria Flagella-Mimicking Polymer Multilayer Magnetic Microrobots.

Mass production of biomedical microrobots demands expensive and complex preparation techniques and v...

Paying attention to the SARS-CoV-2 dialect : a deep neural network approach to predicting novel protein mutations.

Predicting novel mutations has long-lasting impacts on life science research. Traditionally, this pr...

Machine learning based prediction models for the prognosis of COVID-19 patients with DKA.

Patients with Diabetic ketoacidosis (DKA) have increased critical illness and mortality during coron...

Serum decorin and biglycan levels as predictive biomarkers for lung fibrosis severity and mortality risk in COVID-19 patients.

INTRODUCTION: Individuals experiencing severe symptoms of COVID-19 are at the greatest risk of devel...

CAM/TMA-DPH as a promising alternative to SYTO9/PI for cell viability assessment in bacterial biofilms.

INTRODUCTION: Accurately assessing biofilm viability is essential for evaluating both biofilm format...

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