Latest AI and machine learning research in infectious disease for healthcare professionals.
Tuberculosis is a high-mortality infectious disease. Manual sputum smear microscopy is a common and ...
Infected region segmentation is crucial for pulmonary infection diagnosis, severity assessment, and ...
OBJECTIVES: The current research investigations designates the numerical solutions of the chickenpox...
BACKGROUND: Identification of distinct clinical phenotypes of diseases can guide personalized treatm...
Microplastics (MPs) can adsorb antibiotics (ATs) to cause combined pollution in the environment. Res...
Accurate, real-time forecasts of influenza hospitalizations would facilitate prospective resource al...
OBJECTIVE: Adverse event (AE) extraction following COVID-19 vaccines from text data is crucial for m...
The rediscovery of known drug classes represents a major challenge in natural products drug discover...
BACKGROUND: Viral vaccines have been proven significant in protecting us against viral diseases such...
INTRODUCTION: Despite advances in diagnostic technologies for tuberculosis (TB), global control of t...
While there is clear potential for artificial intelligence (AI) and machine learning (ML) models to ...
Antimicrobial peptides (AMPs) have important developmental prospects as potential candidates for nov...
Tuberculosis (TB), caused by , remains a significant global health threat, affecting an estimated 10...
Transient receptor potential vanilloid 4 (TRPV4) is a calcium-permeable cation channel critical for ...
BACKGROUND: Mumps is a viral respiratory disease characterized by facial swelling and transmitted th...
Drug discovery and development is very expensive and long with an inferior success rate. It is quite...
Leukocytes are pivotal markers in health, crucial for diagnosing diseases like malaria and viral inf...
A fundamental element of the Mediterranean diet, olive oil is abundant in heart-healthy monounsatura...
Artificial intelligence holds great promise for the design of antimicrobial peptides (AMPs); however...
This study aims to develop a machine learning model utilizing Computed Tomography (CT) values to pre...
Recent studies have demonstrated that integrating AI into colonoscopy procedures significantly impro...