Editorial: AI and multi-omics for rare diseases: challenges, advances and perspectives, Volume III

Frank Emmert-Streib; Silvia Bottini; Leonardo Franco

doi:10.3389/fmolb.2024.1392943

Editorial: AI and multi-omics for rare diseases: challenges, advances and perspectives, Volume III

Front Mol Biosci. 2024 Mar 12:11:1392943. doi: 10.3389/fmolb.2024.1392943. eCollection 2024.

Authors

Frank Emmert-Streib¹, Silvia Bottini², Leonardo Franco³

Affiliations

¹ Predictive Society and Data Analytics Lab, Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland.
² Center of Modeling, Simulation and Interactions, Université Côte d'Azur, Nice, France.
³ Computer Science Department, Malaga University, Malaga, Spain.

No abstract available

Keywords: artificial intelligence; data science; high-throughput; omics; rare disease.

Publication types

Editorial

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. SB was supported by the French government, through the UCA JEDI Investments in the Future project managed by the National Research Agency (ANR) under reference number ANR-15-IDEX-01, LF by Junta de Andalucía through grant UMA20-FEDERJA-045 (includes FEDER funds) and FES by the Academy of Finland and the National Institute of Health (NIH, USA) grant number 352266.