Infectious Disease

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

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Machine learning reveals immediate disruption in mosquito flight when exposed to Olyset nets.

Insecticide-treated nets (ITNs) remain a critical intervention in controlling malaria transmission, ...

ImmunoStruct: a multimodal neural network framework for immunogenicity prediction from peptide-MHC sequence, structure, and biochemical properties.

Epitope-based vaccines are promising therapeutic modalities for infectious diseases and cancer, but ...

Advances in Wastewater-Based Epidemiology for Pandemic Surveillance: Methodological Frameworks and Future Perspectives.

Wastewater-based epidemiology (WBE) has emerged as a transformative approach for community-level hea...

A Complete Transfer Learning-Based Pipeline for Discriminating Between Select Pathogenic Yeasts from Microscopy Photographs.

Pathogenic yeasts are an increasing concern in healthcare, with species like often displaying drug ...

Computer Viewing Model for Classification of Erythrocytes Infected with spp. Applied to Malaria Diagnosis Using Optical Microscope.

Malaria is a disease that can result in a variety of complications. Diagnosis is carried out by an ...

Paper-based SERS chip with adaptive attention neural network for pathogen identification.

High-speed and accuracy identification of pathogens has become increasingly critical in both individ...

Zero-shot large language model application for surgical site infection auditing.

INTRODUCTION: Artificial intelligence, in particular large language models (LLM), may be able to ass...

Development of a risk prediction model for secondary infection in severe/critical COVID-19 patients.

OBJECTIVE: This study aimed to develop a predictive model for secondary infections in patients with ...

Metabolic signature of COVID-19 progression: potential prognostic markers for severity and outcome.

INTRODUCTION: There are significant challenges remain in accurately categorizing the risk of severe ...

Deep learning based multi attribute evaluation for holistic student assessment in physical education.

The evaluation of students in physical education remains a formidable challenge due to the limitatio...

Evaluation of Fourier-Transform Infrared Spectroscopy with IR Biotyper system for Streptococcus pneumoniae serotyping.

PURPOSE: Streptococcus pneumoniae is an important human pathogen and its virulence is centered on th...

Machine learning algorithms to predict the risk of hyperlipidemia in people living with HIV after starting HAART for 6 months.

OBJECTIVE: The purpose of this study was to use machine learning models to predict the risk of hyper...

Exploring the exportin-1 inhibitors for COVID-19 and anticancer treatment.

Nuclear export protein 1, also known as XPO1, plays a crucial role in cellular homeostasis and assis...

Enabling malic acid production from corn-stover hydrolysate in Lipomyces starkeyi via metabolic engineering and bioprocess optimization.

BACKGROUND: Lipomyces starkeyi is an oleaginous yeast with a native metabolism well-suited for produ...

Normative isokinetic knee strength values and prediction models in non-athletic Chinese adults.

BACKGROUND: Establishing normative isokinetic muscle strength values and prediction models for knee ...

Cross-species AI: shifting a convolutional neural network from pigs to lambs to detect pneumonia at slaughter.

Abattoir-based data are widely regarded as suitable tools to estimate farm animals' health and welfa...

12-Month trajectories of physical and mental symptom scores after COVID-19 hospitalization and their role in predicting "very long" COVID.

BACKGROUND: Long COVID syndrome (LCS) represents a significant global health challenge due to its wi...

Advances of oncolytic vaccinia viruses armed with interleukin in tumor therapy.

Oncolytic vaccinia viruses armed with interleukins represent a promising frontier in tumor therapy. ...

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