Prof. Fabiola Olivieri is a full professor of general pathology at the Faculty of Medicine, Università Politecnica delle Marche. She received her Ph.D. degree in Experimental Pathology at the University of Bologna. Prof. Fabiola Olivieri has been an associate editor of Mechanism of Aging and Development (MAD) since 2022 and an Editorial Board member of Aging Research and Review (ARR) since 2018. Prof. Fabiola Olivieri has long been investigating the genetic and epigenetic mechanisms involved in the modulation of healthy/unhealthy aging trajectories. The research is focused on the identification of innovative diagnostic/prognostic biomarkers for the most common age-related diseases (e.g., type 2 diabetes mellitus, cardiovascular and neurodegenerative diseases). Her research activity has included participation in several national and international projects involving hundreds of human samples, mainly elderly/old and very old subjects and patients affected by type 2 diabetes, cardiovascular diseases, and cancers, the assessment of several diseases-associated biomarkers including non-coding RNAs (miRNA), data mining, and statistical analysis.
Prof. Fabiola Olivieri is a full professor of general pathology at the Faculty of Medicine, Università Politecnica delle Marche. She received her Ph.D. degree in Experimental Pathology at the University of Bologna. Prof. Fabiola Olivieri has been an associate editor of Mechanism of Aging and Development (MAD) since 2022 and an Editorial Board member of Aging Research and Review (ARR) since 2018. Prof. Fabiola Olivieri has long been investigating the genetic and epigenetic mechanisms involved in the modulation of healthy/unhealthy aging trajectories. The research is focused on the identification of innovative diagnostic/prognostic biomarkers for the most common age-related diseases (e.g., type 2 diabetes mellitus, cardiovascular and neurodegenerative diseases). Her research activity has included participation in several national and international projects involving hundreds of human samples, mainly elderly/old and very old subjects and patients affected by type 2 diabetes, cardiovascular diseases, and cancers, the assessment of several diseases-associated biomarkers including non-coding RNAs (miRNA), data mining, and statistical analysis.