Maximizing stem cell yield from limited adipose tissue: A novel two-step digestion approach and future artificial intelligence-integrated perspectives

Figure 1 Illustrates a proposed artificial intelligence integrated workflow to personalize and standardize the twostep digestion process. A flowchart showing two parallel paths: Left side - conventional two-step digestion with fixed 30 minutes + 30 minutes; right side - artificial intelligence (AI)-optimized workflow. The AI-optimized path includes data collection from donors (age, body mass index, medical history), tissue imaging (density, color), and enzyme lot characteristics. These data feed into a machine learning model that predicts optimal digestion time for step 1 and step 2, then outputs a personalized protocol. The final step for both paths is cell harvest and quality assessment, with feedback loop to retrain the AI model. BMI: Body mass index; AI: Artificial intelligence.