Advances in Biomarkers and Drug Targets: Harnessing Traditional and AI Approaches for Novel Therapeutic Mechanisms

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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)

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Yifan Lv
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Jingfeng Li
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doi 10.3389/fphar.2025.1546665

324 views

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Blood metabolites as mediators in erectile dysfunction: insights from a multi-center proteomics and genetic study

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Yuanzhi Fu
Haifeng Wang
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Shi Fu

doi 10.3389/fphar.2025.1568780

1,678 views

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

Lanlan Li
XuZai Deng
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doi 10.3389/fphar.2025.1545392

1,049 views
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ORIGINAL RESEARCH

Published on 26 Feb 2025

Microbiota and metabolomic profiling coupled with machine learning to identify biomarkers and drug targets in nasopharyngeal carcinoma

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Chongwen Xu
Rui Wang
Jianhua Huang
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doi 10.3389/fphar.2025.1551411

1,189 views

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

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Biyu Deng
Dan Mo
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Xuan Wei
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doi 10.3389/fphar.2025.1555040

1,221 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

Xiaoyan Wang
Pengcheng Yu
Wei Jia
Bingbing Wan
Zhougui Ling
Yangyang Tang

doi 10.3389/fphar.2024.1539120

1,342 views

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Frontiers in Pharmacology

Experimental Pharmacology and Drug Discovery

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Articles

Analysis of serum amino acids and tryptophan metabolites to predict hepatic encephalopathy in portal hypertension patients receiving a transjugular intrahepatic portal shunt (TIPS)

Machine learning-enhanced discovery of tsRNA-mRNA regulatory networks: identifying novel diagnostic biomarkers and therapeutic targets in breast cancer

Blood metabolites as mediators in erectile dysfunction: insights from a multi-center proteomics and genetic study

Integrating traditional omics and machine learning approaches to identify microbial biomarkers and therapeutic targets in pediatric inflammatory bowel disease

Microbiota and metabolomic profiling coupled with machine learning to identify biomarkers and drug targets in nasopharyngeal carcinoma

Harnessing machine learning and AI-driven analytics to identify novel drug targets and predict chemotherapy efficacy in NSCLC

Integrating traditional machine learning with qPCR validation to identify solid drug targets in pancreatic cancer: a 5-gene signature study

Frontiers in Pharmacology

Experimental Pharmacology and Drug Discovery