Researchers from Kyushu University and Nagoya University have developed a model using artificial intelligence (AI) to predict the development of organoids at an early stage, specifically focusing on hypothalamic-pituitary organoids. These lab-grown tissues mimic organ function and structure and have the potential for personalized transplants and disease modeling. The model was trained to classify organoids based on RAX protein expression, indicating high quality and predict future development accurately. The AI model outperformed expert researchers in accuracy and speed, showing promise in selecting high-quality organoids efficiently for transplantation and research, ultimately reducing time and costs. Further improvements are planned for the model’s accuracy.
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AI beats experts in predicting future quality of ‘mini-organs’
