Infectious Disease

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

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A scalable tool for analyzing genomic variants of humans using knowledge graphs and graph machine learning.

Advances in high-throughput genome sequencing have enabled large-scale genome sequencing in clinical...

Classification of chicken Eimeria species through deep transfer learning models: A comparative study on model efficacy.

Eimeria is a protozoan parasite that causes coccidiosis in various animal species, especially in chi...

Under-representation for Female Pelvis Cancers in Commercial Auto-segmentation Solutions and Open-source Imaging Datasets.

AIM: Artificial intelligence (AI) based auto-segmentation aids radiation therapy (RT) workflows and ...

Computational biology and artificial intelligence in mRNA vaccine design for cancer immunotherapy.

Messenger RNA (mRNA) vaccines offer an adaptable and scalable platform for cancer immunotherapy, req...

An effective COVID-19 classification in X-ray images using a new deep learning framework.

BackgroundThe global concern regarding the diagnosis of lung-related diseases has intensified due to...

Artificial Neural Network-Based Validation, DFT, Thermal and Biological Evaluation of 4-Aminoantipyrine-Derived Ru(III) Complexes.

New methodologies have been evaluated for validating analytical characterization with artificial neu...

Supervised learning approaches for predicting Ebola-Human Protein-Protein interactions.

The goal of this research work is to predict protein-protein interactions (PPIs) between the Ebola v...

Explainable deep learning and virtual evolution identifies antimicrobial peptides with activity against multidrug-resistant human pathogens.

Artificial intelligence (AI) is a promising approach to identify new antimicrobial compounds in dive...

Bacterial Wastewater-Based Epidemiology Using Surface-Enhanced Raman Spectroscopy and Machine Learning.

Although wastewater-based epidemiology has been used extensively for the surveillance of viral disea...

Mitigating bias in AI mortality predictions for minority populations: a transfer learning approach.

BACKGROUND: The COVID-19 pandemic has highlighted the crucial role of artificial intelligence (AI) i...

Machine learning to predict periprosthetic joint infections following primary total hip arthroplasty using a national database.

INTRODUCTION: Periprosthetic joint infection (PJI) following total hip arthroplasty (THA) remains a ...

Field-scale detection of Bacterial Leaf Blight in rice based on UAV multispectral imaging and deep learning frameworks.

Bacterial Leaf Blight (BLB) usually attacks rice in the flowering stage and can cause yield losses o...

W70: a probiotic with capacity to enhance ammonia assimilation in the rumen.

Ruminants excrete both undigested and excess consumed nitrogen (N) through feces and urine, which re...

Predicting work ability impairment in post COVID-19 patients: a machine learning model based on clinical parameters.

The Post COVID-19 condition (PCC) is a complex disease affecting health and everyday functioning. Th...

Machine learning models for predicting indoor airborne fungal concentrations in public facilities utilizing environmental variables.

Airborne fungi are major contributors to substandard indoor air quality, with potential implications...

Artificial intelligence and machine learning in veterinary medicine: a regulatory perspective on current initiatives and future prospects.

The US FDA's Center for Veterinary Medicine (CVM) is advancing its leadership in veterinary science ...

Applications of Machine Learning Approaches for the Discovery of SARS-CoV-2 PLpro Inhibitors.

The global impact of SARS-CoV-2 highlights the need for treatments beyond vaccination, given the lim...

Role of Artificial Intelligence in Identifying Vital Biomarkers with Greater Precision in Emergency Departments During Emerging Pandemics.

The COVID-19 pandemic has accelerated advances in molecular biology and virology, enabling the ident...

Therapeutic potential of against monkeypox: antioxidant, anti-inflammatory, and computational insights.

BACKGROUND: Monkeypox (Mpox) is a re-emerging zoonotic disease with limited therapeutic options, nec...

A comparison of the persuasiveness of human and ChatGPT generated pro-vaccine messages for HPV.

INTRODUCTION: Public health messaging is crucial for promoting beneficial health outcomes, and the l...

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