AI for In vitro Evaluation of Anti-Inflammatory Effects of Novel Therapeutic Agents on Human Microglial Cells.

Background: The use of artificial intelligence (AI) has the potential to improve both efficiency and accuracy in the process of automating in vitro evaluation of therapeutic interventions. AIM: The purpose of this work is to evaluate the efficacy of novel therapeutic agents for their anti-inflammatory effects on human microglial cells. Methodology: The AI system was trained to recognize analyze digital cellular models and recognize inflammatory responses, generating treatment-related interpretations using a collection of one hundred experimental datasets. It was determined whether or not the results generated by AI were comparable to the evaluations made by qualified researchers. Results: The technique obtained a high level of accuracy in inflammatory responses categorization, with sensitivity and specificity that were both greater than 90% in the majority of cases. Conclusion: Despite the fact that these findings lend credence to the potential of AI in microglial cells, more clinical validation requires further investigation.