My main research interests concern Biomedical Relation Extraction, Dataset Search, and Knowledge Base Construction.
My main research contributions are within the fields of "Biomedical Relation Extraction", "Ontology Creation" and "Data Models".
I am part of the UNIPD research unit in the HEREDITARY project and in the BRAINTEASER H2020 EU project (more information below).
From November 2022 to September 2023, my research work was supported by the EXAMODE H2020 EU project (more information below).
The nanopublications representing CoreKB Facts are available in Zenodo here.
The source code and info about "Disease-Expression Relation Extraction from Text" (DEXTER) are available here.
I was part of the Local Organizing Committee of the 31st Symposium on Advanced Database Systems (SEBD 2023) held in Galzignano Terme (PD), Italy from 2 to 5 July 2023: SEBD 2023
I was a student volunteer during the 26th International Conference on Theory and Practice of Digital Libraries (TPDL 2022) held in Padua, Italy from 20 to 23 September 2022: TPDL 2022
HEREDITARY aims to significantly transform the way we approach disease detection, prepare treatment response, and explore medical knowledge by building a robust, interoperable, trustworthy and secure framework that integrates multimodal health data (including genetic data) while ensuring compliance with cross-national privacy-preserving policies. The HEREDITARY framework comprises five interconnected layers, from federated data processing and semantic data integration to visual interaction.
By utilizing advanced federated analytics and learning workflows, we aim to identify new risk factors and treatment responses focusing, as exploratory use cases, on neurodegenerative and gut microbiome related disorders. HEREDITARY is harmonizing and linking various sources of clinical, genomic, and environmental data on a large scale. This enables clinicians, researchers, and policymakers to understand these diseases better and develop more effective treatment strategies. HEREDITARY adheres to the citizen science paradigm to ensure that patients and the public have a primary role in guiding scientific and medical research while maintaining full control of their data. Our goal is to change the way we approach healthcare by unlocking insights that were previously impossible to obtain.
Role: Participant
Project No: 101137074
Call: HORIZON-HLTH-2023-TOOL-05
Topic: Tools and technologies for a healthy society
Funding (UNIPD): 1.138.046€
Website: https://hereditary-project.eu/