Gideon Idumah

The paper identifies 55 individuals with pathogenic PTEN variants in a population-based cohort, revealing higher prevalence and broader clinical features of PHTS than previously recognized.

This study identifies metabolic biomarkers predictive of immune checkpoint inhibitor response in gynecologic cancers using flux balance analysis and machine learning.

The paper analyzes pathogenic germline variants in cancer susceptibility genes across a large population using the All of Us dataset, finding 5.05% prevalence with significant racial variation.

The paper introduces a Bayesian MCMC method with adaptive parallel tempering to estimate parameters and quantify uncertainty in Hodgkin-Huxley neuron models using voltage trace data.