Frontiers in Artificial Intelligence (Apr 2024)
Assembloid learning: opportunities and challenges for personalized approaches to brain functioning in health and disease
- Arianna Mencattini,
- Arianna Mencattini,
- Elena Daprati,
- David Della-Morte,
- David Della-Morte,
- Fiorella Guadagni,
- Fiorella Guadagni,
- Federica Sangiuolo,
- Eugenio Martinelli,
- Eugenio Martinelli
Affiliations
- Arianna Mencattini
- Department of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy
- Arianna Mencattini
- Interdisciplinary Center of Advanced Study of Organ-on-Chip and Lab-on-Chip Applications (IC-LOC), University of Rome Tor Vergata, Rome, Italy
- Elena Daprati
- Department of System Medicine and Centro di Biomedicina Spaziale (CBMS), University of Rome Tor Vergata, Rome, Italy
- David Della-Morte
- Interdisciplinary Center of Advanced Study of Organ-on-Chip and Lab-on-Chip Applications (IC-LOC), University of Rome Tor Vergata, Rome, Italy
- David Della-Morte
- San Raffaele Rome University, Rome, Italy
- Fiorella Guadagni
- San Raffaele Rome University, Rome, Italy
- Fiorella Guadagni
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele, Rome, Italy
- Federica Sangiuolo
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy
- Eugenio Martinelli
- Department of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy
- Eugenio Martinelli
- Interdisciplinary Center of Advanced Study of Organ-on-Chip and Lab-on-Chip Applications (IC-LOC), University of Rome Tor Vergata, Rome, Italy
- DOI
- https://doi.org/10.3389/frai.2024.1385871
- Journal volume & issue
-
Vol. 7
Abstract
No abstracts available.Keywords
- organoid intelligence
- assembloid learning
- brain organoids (BOs)
- machine learning (ML)
- personalized medicine
- neurodegenerative diseases