Enrique I. Velazquez-Villarreal

Artificial Intelligence Reveals Prognostic TP53 Pathway Alterations in FOLFOX-Treated Early-Onset Colorectal Cancer Among Populations at Risk

The paper uses AI to analyze genomic data from colorectal cancer patients, finding TP53 pathway alterations are linked to better survival in Hispanic/Latino patients treated with FOLFOX.

Artificial intelligence for precision oncology: AI-HOPE-MAPK uncovers clinically actionable MAPK alterations in colorectal cancer

AI-HOPE-MAPK identifies age- and ancestry-specific MAPK pathway alterations in colorectal cancer, revealing clinically relevant mutation patterns and survival differences.

Precision Oncology Insights into WNT Pathway Alterations in FOLFOX-Treated Early-Onset Colorectal Cancer in High-Risk Populations

This study examines WNT pathway alterations in early-onset colorectal cancer across different populations and treatment groups, finding ancestry-specific effects of FOLFOX chemotherapy on mutation frequencies and survival outcomes.

Artificial Intelligence-Guided Molecular Determinants of PI3K Pathway Alterations in Early-Onset Colorectal Cancer Among High-Risk Groups Receiving FOLFOX

The paper identifies PI3K pathway alterations as a prognostic biomarker in early-onset colorectal cancer patients receiving FOLFOX and highlights ancestry-specific mutational differences using AI tools.

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

AI-HOPE-WNT is a conversational AI tool that integrates clinical and genomic data to analyze WNT pathway dysregulation in colorectal cancer, reproducing prior findings and uncovering novel associations.

Artificial Intelligence-Enabled Precision Medicine Reveals Prognostic Impact of TGF-Beta Pathway Alterations in FOLFOX-Treated Early-Onset Colorectal Cancer Among Disproportionately Affected Populations

The paper uses AI to analyze genomic and clinical data from colorectal cancer patients, finding that TGF-beta pathway alterations predict poorer survival in Hispanic/Latino patients treated with FOLFOX.

Precision Oncology Through Dialogue: AI-HOPE-RTK-RAS Integrates Clinical and Genomic Insights into RTK-RAS Alterations in Colorectal Cancer

AI-HOPE-RTK-RAS enables dialogue-driven analysis of RTK-RAS alterations in CRC, revealing novel associations and ancestry-specific patterns in mutation prevalence and prognosis.

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

The paper introduces AI-HOPE-JAK-STAT, a conversational AI platform that integrates clinical and genomic data to analyze JAK-STAT pathway alterations in colorectal cancer, revealing survival and mutational associations across patient subgroups.

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

AI-HOPE-PI3K enables real-time, population-aware analysis of PI3K pathway alterations in colorectal cancer using natural language queries, revealing survival differences and ancestry-linked biomarkers.

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

AI-HOPE-TGFbeta is a conversational AI agent that integrates clinical and genomic data to analyze TGF-β pathway alterations in colorectal cancer, revealing population-specific patterns and clinical outcomes.

AI-HOPE: An AI-Driven conversational agent for enhanced clinical and genomic data integration in precision medicine research

AI-HOPE is a conversational AI platform that integrates clinical and genomic data using natural language, enabling analysis without programming expertise and producing statistical insights.

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

AI-HOPE-TP53 analyzes TP53-driven molecular alterations in colorectal cancer using natural language queries and clinical-genomic data to support precision oncology.

Molecular Heterogeneity in Early-Onset Colorectal Cancer: Pathway-Specific Insights in High-Risk Populations

This study identifies pathway-specific molecular differences in early-onset colorectal cancer (EOCRC) between Hispanic/Latino and non-Hispanic White populations, revealing distinct genetic alterations and potential ethnicity-specific survival implications.

Comparative genomic analysis of key oncogenic pathways in hepatocellular carcinoma among diverse populations

This study compares oncogenic pathway mutations in hepatocellular carcinoma between Hispanic/Latino and Non-Hispanic White patients, identifying ethnicity-specific alterations in key pathways.

Detecting PI3K and TP53 Pathway Disruptions in Early-Onset Colorectal Cancer Among Hispanic/Latino Patients

This study identifies higher PI3K and mTOR pathway alterations in early-onset CRC among Hispanic/Latino patients compared to non-Hispanic White patients, with improved outcomes linked to TP53 alterations.

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

AI-HOPE-PM integrates genomic, clinical, and social determinants of health data using conversational AI to enable real-time, multi-dimensional cancer analysis and uncover disparities in outcomes.

Ethnicity-specific molecular alterations in MAPK and JAK/STAT pathways in early-onset colorectal cancer

This study identifies ethnicity-specific molecular alterations in MAPK and JAK/STAT pathways in early-onset colorectal cancer, showing higher MAPK mutations in Hispanic/Latino patients and potential prognostic implications.

Molecular alterations in TP53, WNT, PI3K, TGF-Beta and RTK/RAS pathways in gastric cancer among ethnically heterogeneous cohorts

This study compares molecular alterations in key cancer pathways between Hispanic/Latino and Non-Hispanic White gastric cancer patients, finding ethnic differences in mutation frequencies and prognostic significance.

Pathway-specific genomic alterations in pancreatic cancer across diverse cohorts

This study identifies ethnicity-specific genomic alterations in pancreatic cancer pathways among Hispanic/Latino and Non-Hispanic White patients using public datasets.

Assessment of MYC Gene and WNT Pathway Alterations in Early-Onset Colorectal Cancer Among Hispanic/Latino Patients Using Integrated Multi-Omics Approaches

This study identifies distinct molecular features of early-onset colorectal cancer in Hispanic/Latino patients through multi-omics analysis, revealing significant WNT pathway alterations and potential therapeutic targets.

Integrative multi-omics profiling of colorectal cancer from a Hispanic/Latino cohort of patients

This study profiles colorectal cancer in Hispanic/Latino patients, finding high genetic similarity to Peruvians-from-Lima-like populations and identifying key mutations and pathways associated with young-onset disease.

Resolving sub-clonal heterogeneity within cell-line growths by single cell sequencing genomic DNA

The paper uses single-cell sequencing of genomic DNA to resolve sub-clonal heterogeneity in the COLO829 cell line, identifying four major sub-clones and explaining conflicting bulk sequencing results.