Philip J. Freda

ASAREE: An Analytical Sandbox for Agentic AI Research, Engineering, and Experimentation

ASAREE evaluates agentic AI system performance and resource efficiency through factorial experiments, showing that advanced models and critic agents increase costs without improving predictive performance.

EcoXAI: Autonomous Agentic Ecosystem for Explainable Artificial Intelligence and Biomedical Discovery

EcoXAI introduces a multi-agent system for biomedical discovery that integrates knowledge graphs and agentic AI to identify novel drug candidates for Alzheimer's Disease.

Novel Epistatic Interaction Between RBMS3 and CDKN2B-AS1 in Coronary Artery Disease Risk Identified by Machine Learning Tool VariantSpark

The paper identifies an epistatic interaction between RBMS3 and CDKN2B-AS1 in CAD risk using VariantSpark and BitEpi, with validation in UK Biobank and All of Us.

Computational Framework for Statistical Epistasis Supports XOR Penetrance Function in a Living System

The paper introduces efficient algorithms for detecting statistical epistasis using varied interaction encodings and applies them to rat and mouse datasets to find evidence of epistasis in body mass index.

Automated quantitative trait locus analysis (AutoQTL)

AutoQTL automates QTL analysis and GWAS by applying machine learning to detect both additive and non-additive genetic effects in genetic data.