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Related Experiment Video

Updated: Jul 22, 2026

Single-Cell Resolution Three-Dimensional Imaging of Intact Organoids

Single-Cell Resolution Three-Dimensional Imaging of Intact Organoids

Published on: June 5, 2020

Revolutionising oral organoids with artificial intelligence.

Jiawei Yang¹, Nicholas G Fischer², Zhou Ye¹

¹Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, China.

Biomaterials Translational

|January 28, 2025

Summary

Artificial intelligence (AI) and organoid technology are transforming oral healthcare. While AI-enabled oral organoids show promise for disease detection and drug screening, challenges in data integration and validation remain.

Keywords:

artificial intelligence bioprinting dental stem cells machine learning oral disease oral organoids

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A High-Throughput Platform for Culture and 3D Imaging of Organoids

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Published on: October 14, 2022

Area of Science:

Biotechnology
Artificial Intelligence
Oral Healthcare

Background:

Organoids, 3D tissue models, provide in vivo-like environments for studying oral diseases.
Convergence with AI offers new avenues for diagnostics and therapeutics.

Purpose of the Study:

To review the development and applications of oral organoids.
To explore the integration of AI in oral organoid research.
To identify current challenges and future potential.

Main Methods:

Review of historical organoid development and current types (single-source, multi-lineage, bioprinted, vascularised, neural-integrated).
Analysis of AI advancements in disease detection, diagnosis, personalized treatment, and drug screening.
Identification of challenges like data integration and algorithm validation.

Main Results:

Oral organoids are valuable for disease modeling, regeneration, and microbiome studies.
AI can enhance organoid development for early detection, personalized medicine, and drug screening.
Significant challenges include data integration and rigorous AI validation for clinical reliability.

Conclusions:

AI-enabled oral organoids are currently limited but hold transformative potential for oral disease diagnosis, microbial interaction studies, and drug discovery.
Future integration promises to advance oral healthcare and improve patient outcomes.