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Comparative analysis of vision transformers and convolutional neural networks in osteoporosis detection from X-ray images

Deep learning is a specific branch of machine learning that use artificial neural networks (ANNs) to acquire knowledge from extensive datasets and execute intricate...

Accurate prediction of protein function using statistics-informed graph networks

PhiGnet for protein function annotationsIn this study, we developed the PhiGnet method using statistics-informed graph networks to annotate protein functions and to identify functional...

Systematic multi-trait AAV capsid engineering for efficient gene delivery

Ethical StatementAll mouse procedures were performed as approved by the Broad Institute Institutional Animal Care and Use Committee (IACUC), approval number 0213-06-18-1. For the...

Deep learning predicts the 1-year prognosis of pancreatic cancer patients using positive peritoneal washing cytology

This is the first study to examine whether prognosis can be predicted using AI-mediated analysis of CY specimens from patients with pancreatic cancer. In...

Tissue characterization at an enhanced resolution across spatial omics platforms with deep generative model

soScope frameworkA generative model for resolution enhancement of spatial omicssoScope utilizes three modalities from the same tissue: spot-level omics profiles, spatial neighboring relations of...

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