Multi-Omics in Precision Medicine

Dear Colleagues,

Precision medicine embraces the power to predict the most suitable treatment strategy for patients affected by complex diseases, thus improving medical and public health management. This ap-proach moves through the definition of multi-omics profiles in combination with patients’ clinical data with the final goal of determining disease susceptibility or discovering diagnostic, prognostic, and predictive biomarkers. Starting from single patients, it is possible to develop predictive models to identify early risk or identify therapeutic strategies and knowledge bases for predictive and per-sonalized healthcare in diverse populations. These aims can be easily fulfilled owing to the high fea-sibility of collecting omics data, including genomics, proteomics, and metabolomics. Furthermore, artificial intelligence and machine-learning algorithms improve precision medicine by leveraging and extending the value of original data. In fact, through integration procedures, pa-tient-specific multi-omics profiles can be modelled against public data repositories and annotation databases to obtain new insights or shape existing knowledge into disease mechanisms. This Topic will include emerging and significant advances in multi-omics strategies for implement-ing precision medicine, welcoming research papers, reviews, and communications based on exper-imental in addition to in silico characterization of multi-omics datasets and the management of big data.

Dr. Michele Costanzo
Dr. Armando Cevenini
Topic Editors