Primary Care

Preventive Care

Latest AI and machine learning research in preventive care for healthcare professionals.

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Broadly active intranasal influenza vaccine with a nanocomplex particulate adjuvant targeting mast cells and toll-like receptor 9.

Flumist is the only FDA-approved intranasal influenza vaccine. Although it has recently been approve...

Early Identification of Vitamin D Deficiency Risk Through Public Health Screening Data.

Metabolic syndrome, characterized by central obesity, hypertension, hyperglycemia, dyslipidemia, and...

VaxPulse: Active Global Vaccine Infodemic Risk Assessment.

Vaccine infodemics, driven by misinformation, disinformation, and inauthentic online behaviours, pos...

Enhancing Vaccine Safety Surveillance: Extracting Vaccine Mentions from Emergency Department Triage Notes Using Fine-Tuned Large Language Models.

This study evaluates fine-tuned Llama 3.2 models for extracting vaccine-related information from eme...

Unraveling the Role of Gut Microbiota in Colorectal Cancer: A Global Perspectives and Biomarkers as Early Screening Tool for Colorectal Cancer.

Colorectal cancer (CRC), the second deadliest cancer globally, is closely tied to gut microbiota, op...

A Computational Framework for Tailored Preventive Care Recommendations Using Electronic Health Records.

Most healthcare systems worldwide are designed to be reactive. According to the U.S. Centers for Dis...

Artificial intelligence applications in the screening and classification of glioblastoma.

Glioblastoma is the most aggressive primary brain tumor, with poor prognosis following initial ident...

Emerging Technologies and Algorithms for Periodontal Screening and Risk of Disease Progression in Non-Dental Settings: A Scoping Review.

AIM: To evaluate different tools to screen for periodontal diseases and/or evaluate the risk for dis...

Artificial intelligence (AI)-driven morphological assessment of zebrafish larvae for developmental toxicity chemical screening.

Screening chemicals using the zebrafish embryo developmental toxicity assay requires visual assessme...

Drug repurposing to identify potential FDA-approved drugs targeting three main angiogenesis receptors through a deep learning framework.

Tumor cell survival depends on the presence of oxygen and nutrients provided by existing blood vesse...

Infrared and Raman spectroscopy of blood plasma for rapid endometrial cancer detection.

BACKGROUND: Endometrial cancer (EC) is the 6th most common cancer among women worldwide. No effectiv...

Screening and preliminary analysis of antimicrobial peptide genes in Octopussinensis.

Antimicrobial peptides (AMPs) are small molecular peptides that widely exist in organisms to resist ...

Decoding virulence and resistance in Klebsiella pneumoniae: Pharmacological insights, immunological dynamics, and in silico therapeutic strategies.

Klebsiella pneumoniae (K. pneumoniae) has become a serious global health concern due to its rising v...

In silico discovery of novel compounds for FAK activation using virtual screening, AI-based prediction, and molecular dynamics.

Focal Adhesion Kinase (FAK) is a non-receptor tyrosine kinase that plays a crucial role in cell prol...

Machine Learning Models Based on Enlarged Chemical Spaces for Screening Carcinogenic Chemicals.

Machine learning (ML) models for screening carcinogenic chemicals are critical for the sound managem...

Deciphering Coulombic Efficiency of Lithium Metal Anodes by Screening Electrolyte Properties.

Coulombic efficiency (CE) is a quantifiable indicator for the reversibility of lithium metal anodes ...

Utilizing Machine Learning to Improve Neutralization Potency of an HIV-1 Antibody Targeting the gp41 N-Heptad Repeat.

The N-heptad repeat (NHR) of the HIV-1 gp41 prehairpin intermediate (PHI) is an attractive potential...

[Optimizing a standardized management model for chronic obstructive pulmonary disease in primary healthcare institutions].

Chronic obstructive pulmonary disease (COPD) affects nearly 100 million individuals in China and has...

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