Synthetic datasets are becoming crucial for the development of biomedical machine learning models. Victoriano et al. discuss the persistent simulation-to-reality gap that limits how well synthetic ...
Machine learning methods for drug discovery often face difficulties in identifying novel bioactive molecules that do not belong to the training data distribution. A new metric can now quantify ...