Primary Care

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Developing risk stratification strategies and biomarkers for recurrent hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality, with high rates ...

Artificial intelligence applications in the screening and classification of glioblastoma.

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

[Artificial intelligence in preventive medicine for children and adolescents-applications and acceptance].

The use of artificial intelligence (AI) in pediatric and adolescent medicine offers numerous possibi...

[Implementation of artificial intelligence (AI) in healthcare: historical development, current technologies and challenges].

The historical development of artificial intelligence (AI) in healthcare since the 1960s shows a tra...

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...

Discovery of novel potential 11β-HSD1 inhibitors through combining deep learning, molecular modeling, and bio-evaluation.

11β-Hydroxysteroid dehydrogenase type 1 (11β-HSD1) has been shown to play an important role in the t...

The impact of clinical history on the predictive performance of machine learning and deep learning models for renal complications of diabetes.

BACKGROUND AND OBJECTIVE: Diabetes is a chronic disease characterised by a high risk of developing d...

Evaluating prediction of short-term tolerability of five type 2 diabetes drug classes using routine clinical features: UK population-based study.

AIMS: A precision medicine approach in type 2 diabetes (T2D) needs to consider potential treatment r...

Bridging the gap in obesity research: A consensus statement from the European Society for Clinical Investigation.

BACKGROUND: Most forms of obesity are associated with chronic diseases that remain a global public h...

Screening and preliminary analysis of antimicrobial peptide genes in Octopussinensis.

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

Effectiveness of AI-driven interventions in glycemic control: A systematic review and meta-analysis of randomized controlled trials.

This systematic review aims to assess the effectiveness of AI-Driven Decision Support Systems in imp...

AI-Driven Dental Caries Management Strategies: From Clinical Practice to Professional Education and Public Self Care.

Dental caries is one of the most prevalent chronic diseases among both children and adults, despite ...

Deep learning for early detection of chronic kidney disease stages in diabetes patients: A TabNet approach.

Chronic kidney disease (CKD) poses a significant risk for diabetes patients, often leading to severe...

Predicting Knee Osteoarthritis Severity from Radiographic Predictors: Data from the Osteoarthritis Initiative.

PURPOSE: In knee osteoarthritis (KOA) treatment, preventive measures to reduce its onset risk are a ...

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...

Accelerated discovery of ultraincompressible, superhard materials physics-enhanced active learning.

The discovery of ultraincompressible, superhard materials is constrained by the high computational c...

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...

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