Infectious Disease

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

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Machine learning and clinician predictions of antibiotic resistance in Enterobacterales bloodstream infections.

BACKGROUND: Patients with Gram-negative bloodstream infections are at risk of serious adverse outcom...

Identification of sepsis-associated encephalopathy biomarkers through machine learning and bioinformatics approaches.

Sepsis-associated encephalopathy (SAE) is common in septic patients, characterized by acute and long...

Artificial intelligence-driven rational design of ionizable lipids for mRNA delivery.

Lipid nanoparticles (LNPs) have proven effective in mRNA delivery, as evidenced by COVID-19 vaccines...

Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper.

Antibiotic resistance is a global public health concern. Bacteria have evolved resistance to most an...

Hyaluronic Acid is Associated with Severity and Prognosis in Patients with Community-Acquired Pneumonia.

PURPOSE: Hyaluronic acid (HA) is a novel inflammatory biomarker with a prognostic value for several ...

ViroNia: LSTM based proteomics model for precise prediction of HCV.

Classification of viruses carries important implications in terms of understanding their evolution a...

Machine learning-based prediction of non-aeration linear alkylbenzene sulfonate mineralization in an oxygenic microalgal-bacteria biofilm.

Microalgal-bacteria biofilm shows great potential in low-cost greywater treatment. Accurately predic...

A calibration framework toward model generalization for bacteria concentration estimation in water resource recovery facilities.

Reduced bacteria concentrations in wastewater is a key indicator of the efficacy of water resource r...

Predictive modelling of hospital-acquired infection in acute ischemic stroke using machine learning.

Hospital-acquired infections (HAIs) are serious complication for patients with acute ischemic stroke...

Developing a fully applicable machine learning (ML) based sex classification model using linear cranial dimensions.

Recent advances in artificial intelligence (AI) and machine learning (ML) applications have elevated...

Fuzzy APPSS: A novel method for quantifying COVID-19 impact in India under triangular spherical fuzzy environment.

In the current scenario, decision-making models are essential for analyzing real-world problems. To ...

Modeling and analysis of dengue transmission in fuzzy-fractional framework: a hybrid residual power series approach.

The current manuscript presents a mathematical model of dengue fever transmission with an asymptomat...

Characterization and Biofilm Inhibition of Multidrug-Resistant Isolates.

Multidrug-resistant (MDR) poses a significant therapeutic challenge due to its resistance to multip...

Fluorescence excitation-emission matrix spectroscopy combined with machine learning for the classification of viruses for respiratory infections.

Significant efforts were currently being made worldwide to develop a tool capable of distinguishing ...

Hope for the best prepare for the worst: acute kidney disease and catastrophic comorbidities (a case report).

It is evident that Acute Kidney Injury (AKI) is an independent risk factor for both the survival of ...

Methodology for Safe and Secure AI in Diabetes Management.

The use of artificial intelligence (AI) in diabetes management is emerging as a promising solution t...

AI-Enhanced Healthcare: Integrating ChatGPT-4 in ePROs for Improved Oncology Care and Decision-Making: A Pilot Evaluation.

BACKGROUND: Since 2023, ChatGPT-4 has been impactful across several sectors including healthcare, wh...

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