Describes an AI approach that processes video-derived motility metrics to classify Plasmodium falciparum sporozoite quality and antibody responses.
Key Takeaways
- Unsupervised AI motility index was developed to quantify P
- AI model was trained on 26,682 individual sporozoite tracks and validated for reconstruction accuracy
- Applying the motility index distinguished batch quality and detected antibody-mediated sporozoite inhibition responses