MINI REVIEW
Published on 17 Oct 2025
Leveraging artificial intelligence to validate traditional biomarkers and drug targets in liver cancer recovery: a mini review
doi 10.3389/fphar.2025.1697608
- 446 views
- Frontiers in Pharmacology
- Experimental Pharmacology and Drug Discovery
- Research Topics
- Advances in Biomarkers and Drug Targets: Harnessing Traditional and AI Approaches for Novel Therapeutic Mechanisms
Advances in Biomarkers and Drug Targets: Harnessing Traditional and AI Approaches for Novel Therapeutic Mechanisms
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Articles
ORIGINAL RESEARCH
Accepted on 07 Oct 2025
Identifying Gastric Intestinal Metaplasia risk based on Clinical Indicators: A machine learning predictive model based on the SHAP methodology
doi 10.3389/fphar.2025.1602191
- 177 views
ORIGINAL RESEARCH
Accepted on 30 Sep 2025
Mitochondrial Non-coding RNAs as Novel Biomarkers and Therapeutic Targets in Lung Cancer Integration of Traditional Bioinformatics and Machine Learning Approaches
doi 10.3389/fonc.2025.1690077
- 115 views
ORIGINAL RESEARCH
Published on 28 Aug 2025
Analysis of serum amino acids and tryptophan metabolites to predict hepatic encephalopathy in portal hypertension patients receiving a transjugular intrahepatic portal shunt (TIPS)
doi 10.3389/fphar.2025.1546665
- 670 views
ORIGINAL RESEARCH
Published on 17 Jul 2025
Machine learning-enhanced discovery of tsRNA-mRNA regulatory networks: identifying novel diagnostic biomarkers and therapeutic targets in breast cancer
doi 10.3389/fphar.2025.1640192
- 1,460 views
ORIGINAL RESEARCH
Published on 02 Jun 2025
Blood metabolites as mediators in erectile dysfunction: insights from a multi-center proteomics and genetic study
doi 10.3389/fphar.2025.1568780
- 2,154 views
- 2 citations
ORIGINAL RESEARCH
Published on 14 Apr 2025
Integrating traditional omics and machine learning approaches to identify microbial biomarkers and therapeutic targets in pediatric inflammatory bowel disease
doi 10.3389/fphar.2025.1545392
- 1,266 views
- 1 citation
ORIGINAL RESEARCH
Published on 26 Feb 2025
Microbiota and metabolomic profiling coupled with machine learning to identify biomarkers and drug targets in nasopharyngeal carcinoma
doi 10.3389/fphar.2025.1551411
- 1,461 views
- 1 citation
ORIGINAL RESEARCH
Published on 19 Feb 2025
Harnessing machine learning and AI-driven analytics to identify novel drug targets and predict chemotherapy efficacy in NSCLC
doi 10.3389/fphar.2025.1555040
- 1,461 views
ORIGINAL RESEARCH
Published on 09 Jan 2025
Integrating traditional machine learning with qPCR validation to identify solid drug targets in pancreatic cancer: a 5-gene signature study
doi 10.3389/fphar.2024.1539120
- 1,575 views
- 1 citation
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