Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

AI-HOPE: an AI-driven conversational agent for enhanced clinical and genomic data integration in precision medicine research.

Bioinformatics (Oxford, England) - 1 Jul 2025

Yang Ei-Wen, Velazquez-Villarreal Enrique

Abstract excerpt

MOTIVATION: The growing complexity of clinical cancer research has fueled a surge in demand for automated bioinformatics tools capable of integrating clinical and genomic data to accelerate discovery efforts. RESULTS: We present the Artificial Intelligence Agent for High-Optimization and Precision Medicine (AI-HOPE), an AI-driven system that enables domain experts to conduct integrative data analyses through...

Read the complete abstract on PubMed

Topics

Precision Medicine
Humans
Genomics
Artificial Intelligence
Computational Biology
Colorectal Neoplasms

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Neoplasms

Tumor Suppressor Protein p53

Mutation

Source

Open in PubMed Open full text

Identifiers

PMID: 40577785
DOI: 10.1093/bioinformatics/btaf359
PMCID: PMC12212640

Genes

KRAS
TP53

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 25 Oct 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

AI-HOPE: an AI-driven conversational agent for enhanced clinical and genomic data integration in precision medicine research.PMID 40577785Read ↗

AI-HOPE: An AI-Driven conversational agent for enhanced clinical and genomic data integration in precision medicine researchSemantic proximity Read ↗

Conversational Artificial Intelligence for Translational Precision Medicine: Integrating Social Determinants of Health, Genomics, and Clinical Data with AI-HOPE-PMSemantic proximity Read ↗

Artificial Intelligence Agent: AI-HOPE-TP53 Enables Pathway-Centric Analysis of TP53-Driven Molecular Alterations in Colorectal Cancer Precision OncologySemantic proximity Read ↗

Conversational AI Agent for Precision Oncology: AI-HOPE-WNT Integrates Clinical and Genomic Data to Investigate WNT Pathway Dysregulation in Colorectal CancerSemantic proximity Read ↗

Conversational AI agent for precision oncology: AI-HOPE-WNT integrates clinical and genomic data to investigate WNT pathway dysregulation in colorectal cancerSemantic proximity Read ↗

From Mutation to Prognosis: AI-HOPE-PI3K Enables Artificial Intelligence-Agent Driven Integration of PI3K Pathway Data in Colorectal Cancer Precision MedicineSemantic proximity Read ↗

AI-HOPE-TGFbeta: A Conversational AI Agent for Integrative Clinical and Genomic Analysis of TGF-β Pathway Alterations in Colorectal Cancer to Advance Precision MedicineSemantic proximity Read ↗

Precision Oncology Through Dialogue: AI-HOPE-RTK-RAS Integrates Clinical and Genomic Insights into RTK-RAS Alterations in Colorectal CancerSemantic proximity Read ↗

Decoding the JAK-STAT Axis in Colorectal Cancer with AI-HOPE-JAK-STAT: A Conversational Artificial Intelligence Approach to Clinical–Genomic IntegrationSemantic proximity Read ↗

Decoding the JAK-STAT axis in colorectal cancer with AI-HOPE-JAK-STAT: A conversational artificial intelligence approach to clinical-genomic integrationSemantic proximity Read ↗

Artificial Intelligence-Enabled Integration Suggests TP53 Pathway Alterations as Prognostic Biomarkers in Populations with Disproportionate Health Burdens.Semantic proximity Read ↗

Artificial Intelligence-Driven Precision Oncology Uncovers Prognostic Significance of RTK-RAS Alterations in FOLFOX-Treated Early-Onset Colorectal CancerSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.