Assembloid learning: opportunities and challenges for personalized approaches to brain functioning in health and disease

Arianna Mencattini; Elena Daprati; David Della-Morte; Fiorella Guadagni; Federica Sangiuolo; Eugenio Martinelli

doi:10.3389/frai.2024.1385871

Assembloid learning: opportunities and challenges for personalized approaches to brain functioning in health and disease

Front Artif Intell. 2024 Apr 19:7:1385871. doi: 10.3389/frai.2024.1385871. eCollection 2024.

Authors

Arianna Mencattini^{1

2}, Elena Daprati³, David Della-Morte^{2

4}, Fiorella Guadagni^{4

5}, Federica Sangiuolo⁶, Eugenio Martinelli^{1

2}

Affiliations

¹ Department of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy.
² Interdisciplinary Center of Advanced Study of Organ-on-Chip and Lab-on-Chip Applications (IC-LOC), University of Rome Tor Vergata, Rome, Italy.
³ Department of System Medicine and Centro di Biomedicina Spaziale (CBMS), University of Rome Tor Vergata, Rome, Italy.
⁴ San Raffaele Rome University, Rome, Italy.
⁵ Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele, Rome, Italy.
⁶ Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.

No abstract available

Keywords: assembloid learning; brain organoids (BOs); machine learning (ML); neurodegenerative diseases; organoid intelligence; personalized medicine.

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. FG's contribution was partially funded by the Italian Ministry of Health (Ricerca Corrente # 10/1701).