Francesco Piva is an assistant professor in the Department of Clinical OdontoStomatological Sciences and Specialties at the Polytechnic University of Marche Region (Italy). He received his MA in Electronic Engineering in 2001 and his PhD in Applied Biomolecular Sciences in 2007 from the same university. From 2001 to 2002, he worked in biomedical device development. For a short period in 2002, he was a research fellow at the International Centre for Genetic Engineering and Biotechnology in Italy. His research is focused on the information collected on the human genome and the languages used to interpret it. In particular, he works on the decryption of human RNA splicing and export languages using bioinformatic tools that he projects and builds. In the last few years, he has worked on the involvement of exosomes in cancer and targeted therapies using experimental techniques. His research interests include the building of models to predict the splicing patterns of human genes in the presence of mutations or polymorphisms. Reconstruction of gene regulatory networks for system biology approaches; NGS data analysis; targeted cancer therapies; exosomes and cancer.
Research Keywords & Expertise
Artificial Neural Netw...
pancreatic ductal aden...
exosomes
tumor microenvironment
targeted therapy
RNA-seq data analysis
Fingerprints
8%
pancreatic ductal adenocarcinoma
5%
exosomes
5%
Artificial Neural Networks
5%
tumor microenvironment
5%
targeted therapy
Short Biography
Francesco Piva is an assistant professor in the Department of Clinical OdontoStomatological Sciences and Specialties at the Polytechnic University of Marche Region (Italy). He received his MA in Electronic Engineering in 2001 and his PhD in Applied Biomolecular Sciences in 2007 from the same university. From 2001 to 2002, he worked in biomedical device development. For a short period in 2002, he was a research fellow at the International Centre for Genetic Engineering and Biotechnology in Italy. His research is focused on the information collected on the human genome and the languages used to interpret it. In particular, he works on the decryption of human RNA splicing and export languages using bioinformatic tools that he projects and builds. In the last few years, he has worked on the involvement of exosomes in cancer and targeted therapies using experimental techniques. His research interests include the building of models to predict the splicing patterns of human genes in the presence of mutations or polymorphisms. Reconstruction of gene regulatory networks for system biology approaches; NGS data analysis; targeted cancer therapies; exosomes and cancer.