Artificial intelligence and machine learning‐aided drug discovery in central nervous system diseases: State‐of‐the‐arts and future directions

S Vatansever, A Schlessinger, D Wacker… - Medicinal research …, 2021 - Wiley Online Library
Neurological disorders significantly outnumber diseases in other therapeutic areas.
However, developing drugs for central nervous system (CNS) disorders remains the most …

[HTML][HTML] AI-enabled organoids: construction, analysis, and application

L Bai, Y Wu, G Li, W Zhang, H Zhang, J Su - Bioactive Materials, 2024 - Elsevier
Organoids, miniature and simplified in vitro model systems that mimic the structure and
function of organs, have attracted considerable interest due to their promising applications in …

[HTML][HTML] Intelligent microfluidics: The convergence of machine learning and microfluidics in materials science and biomedicine

EA Galan, H Zhao, X Wang, Q Dai, WTS Huck, S Ma - Matter, 2020 - cell.com
Microfluidics permit the automated manipulation of fluids at the microscale with high
throughput and spatiotemporal precision, enabling the generation of large, multidimensional …

[HTML][HTML] 3D and organoid culture in research: physiology, hereditary genetic diseases and cancer

E Suarez-Martinez, I Suazo-Sanchez, M Celis-Romero… - Cell & Bioscience, 2022 - Springer
In nature, cells reside in tissues subject to complex cell–cell interactions, signals from
extracellular molecules and niche soluble and mechanical signaling. These …

A comprehensive review on 3D tissue models: Biofabrication technologies and preclinical applications

R Xie, V Pal, Y Yu, X Lu, M Gao, S Liang, M Huang… - Biomaterials, 2023 - Elsevier
The limitations of traditional two-dimensional (2D) cultures and animal testing, when it
comes to precisely foreseeing the toxicity and clinical effectiveness of potential drug …

[HTML][HTML] Advancing drug discovery for neurological disorders using iPSC-derived neural organoids

G Costamagna, GP Comi, S Corti - International Journal of Molecular …, 2021 - mdpi.com
In the last decade, different research groups in the academic setting have developed
induced pluripotent stem cell-based protocols to generate three-dimensional, multicellular …

[HTML][HTML] Machine learning identifies phenotypic profile alterations of human dopaminergic neurons exposed to bisphenols and perfluoroalkyls

A Di Credico, A Weiss, M Corsini, G Gaggi… - Scientific Reports, 2023 - nature.com
Parkinson's disease (PD) is the second most common neurodegenerative disease and is
characterized by the loss of midbrain dopaminergic neurons. Endocrine disrupting …

[HTML][HTML] Organoid intelligence: Integration of organoid technology and artificial intelligence in the new era of in vitro models

H Shi, A Kowalczewski, D Vu, X Liu, A Salekin… - Medicine in novel …, 2024 - Elsevier
Organoid Intelligence ushers in a new era by seamlessly integrating cutting-edge organoid
technology with the power of artificial intelligence. Organoids, three-dimensional miniature …

[HTML][HTML] Human neural organoids: Models for developmental neurobiology and disease

B Guy, JS Zhang, LH Duncan, RJ Johnston Jr - Developmental biology, 2021 - Elsevier
Human organoids stand at the forefront of basic and translational research, providing
experimentally tractable systems to study human development and disease. These stem cell …

[HTML][HTML] Patient-derived midbrain organoids to explore the molecular basis of Parkinson's disease

B Galet, H Cheval, P Ravassard - Frontiers in Neurology, 2020 - frontiersin.org
Induced pluripotent stem cell-derived organoids offer an unprecedented access to complex
human tissues that recapitulate features of architecture, composition and function of in vivo …