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

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ORIGINAL RESEARCH

Accepted on 25 Jul 2025

Analysis of Serum Amino Acids and Tryptophan metabolites to Predict Hepatic Encephalopathy in Portal Hypertension Patients Receiving a Transjugular Intrahepatic Portosystemic shunt (TIPS)

Li Bao
Yi Fan Lv
Chun Jing Yang
Jing Feng Li
Zheng Yuan Shi
Fu Quan Liu

doi 10.3389/fphar.2025.1546665

100 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

Zhongling Ma
Rui Wang
Ming Yuan
Bo Wang
Li Li
Tianfu Zhao
Xinhan Zhao

doi 10.3389/fphar.2025.1640192

666 views

ORIGINAL RESEARCH

Published on 02 Jun 2025

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

Junhao Chen
Junxian Zhao
Zhi Zhang
Xingcheng Zhu
Jieming Zuo
Zuqing Nie
Yuanzhi Fu
Haifeng Wang
Mengjun Tang
Shi Fu

doi 10.3389/fphar.2025.1568780

1,412 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
Shuge Wang
Tao Huang

doi 10.3389/fphar.2025.1545392

967 views

ORIGINAL RESEARCH

Published on 26 Feb 2025

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

Junsong Liu
Chongwen Xu
Rui Wang
Jianhua Huang
Ruimin Zhao
Rui Wang

doi 10.3389/fphar.2025.1551411

1,079 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

Shaojia Qin
Biyu Deng
Dan Mo
Zhengyou Zhang
Xuan Wei
Zhougui Ling

doi 10.3389/fphar.2025.1555040

1,156 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

1,261 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 Portosystemic 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