Fernando C. Diaz

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.

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.

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.