<ul><li>Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction</li><li>Researchers present a study on predicting transcriptional responses to novel drugs for biomedical research and drug discovery.</li><li>They leverage single-cell foundation models pre-trained on a wide range of single cells, allowing molecular conditioning while preserving biological representation.</li><li>The approach enables efficient fine-tuning and zero-shot generalization to unseen cell lines, demonstrating state-of-the-art results in model performance.</li></ul>

Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction

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