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Found 6 papers, 5 papers with code
Identifying Heterogeneous Treatment Effects in Multiple Outcomes using Joint Confidence Intervals
Heterogeneous treatment effects (HTEs) are commonly identified during randomized controlled trials (RCTs).
Cross-modal representation alignment of molecular structure and perturbation-induced transcriptional profiles
Modeling the relationship between chemical structure and molecular activity is a key goal in drug development.
Towards generative adversarial networks as a new paradigm for radiology education
Medical students and radiology trainees typically view thousands of images in order to "train their eye" to detect the subtle visual patterns necessary for diagnosis.
Learning Contextual Hierarchical Structure of Medical Concepts with Poincairé Embeddings to Clarify Phenotypes
Biomedical association studies are increasingly done using clinical concepts, and in particular diagnostic codes from clinical data repositories as phenotypes.
Adversarial Attacks Against Medical Deep Learning Systems
The discovery of adversarial examples has raised concerns about the practical deployment of deep learning systems.
Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data
Word embeddings are a popular approach to unsupervised learning of word relationships that are widely used in natural language processing.
