About
Joseph R. Pisegna is a Professor-in-Residence in both Medicine and Human Genetics at the University of California Los Angeles (UCLA). His research primarily focuses on Gastroenterology, Molecular Biology, and Genetics, with specific interests in gastrointestinal hormonal regulation, microbiome studies, and metabolic liver diseases.
Pisegna's recent work has explored machine learning applications for pancreatic cancer detection, gut microbiome influences on obesity and liver disease, and neuropeptide mechanisms in appetite regulation. His publications span gastroenterology, molecular biology, genetics, and medical informatics, with increasing emphasis on multi-omics approaches and single-cell RNA sequencing.
His research has been supported by NIH grants including I01BX004560 for cancer stem cell studies and I01RX000194 for gastrointestinal hormonal regulation research. Pisegna has contributed extensively to understanding neuroendocrine tumors, alcohol-related pancreatitis, and microbiome interactions in metabolic diseases.
His laboratory work involves single-nucleus RNA sequencing methodologies and machine learning applications for clinical prediction models. Pisegna has mentored numerous collaborators across multi-institutional studies and contributed to precision medicine initiatives, particularly in hepatocellular carcinoma detection and gastrointestinal cancer screening.
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