Data and AI researcher[1]
His research centers on multimodal machine learning, knowledge graphs and large language models for precision medicine. · His work integrates clinical and omics data to support disease prediction, therapeutic recommendations and explainable AI applications in health care.
Reviewed sources document His research centers on multimodal machine learning, knowledge graphs and large language models for precision medicine. and His work integrates clinical and omics data to support disease prediction, therapeutic recommendations and explainable AI applications in health care.. Explore attributed publications and research affiliations.
Explore researchData and AI researcher[1]
His research centers on multimodal machine learning, knowledge graphs and large language models for precision medicine.[1]
His work integrates clinical and omics data to support disease prediction, therapeutic recommendations and explainable AI applications in health care.[1]
Sources are listed once and connected to each accepted claim they support. Excerpts preserve the source language used in the review.
4 source claims · Reviewed Sep 9, 2026
Identity: Irsyad Adam
Irsyad Adam serves as a Data and AI researcher at the University of Arizona College of Medicine – Phoenix. His research centers on multimodal machine learning, knowledge graphs and large language models for precision medicine. His work integrates clinical and omics data to support disease prediction, therapeutic recommendations and explainable AI applications in health care.
Professional role: Data and AI researcher
Irsyad Adam serves as a Data and AI researcher at the University of Arizona College of Medicine – Phoenix. His research centers on multimodal machine learning, knowledge graphs and large language models for precision medicine. His work integrates clinical and omics data to support disease prediction, therapeutic recommendations and explainable AI applications in health care.
Research interests: His research centers on multimodal machine learning, knowledge graphs and large language models for precision medicine.
Irsyad Adam serves as a Data and AI researcher at the University of Arizona College of Medicine – Phoenix. His research centers on multimodal machine learning, knowledge graphs and large language models for precision medicine. His work integrates clinical and omics data to support disease prediction, therapeutic recommendations and explainable AI applications in health care.
Research interests: His work integrates clinical and omics data to support disease prediction, therapeutic recommendations and explainable AI applications in health care.
Irsyad Adam serves as a Data and AI researcher at the University of Arizona College of Medicine – Phoenix. His research centers on multimodal machine learning, knowledge graphs and large language models for precision medicine. His work integrates clinical and omics data to support disease prediction, therapeutic recommendations and explainable AI applications in health care.