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Self-supervised learning for characterising histomorphological diversity and spatial RNA expression prediction across 23 human tissue types
As vast histological archives are digitised, there is a pressing need to be able to associate
specific tissue substructures and incident pathology to disease outcomes without arduous …
specific tissue substructures and incident pathology to disease outcomes without arduous …
HistoGWAS: An AI-enabled Framework for Automated Genetic Analysis of Tissue Phenotypes in Histology Cohorts
Understanding how genetic variation affects tissue structure and function is crucial for
deciphering disease mechanisms, yet comprehensive methods for genetic analysis of tissue …
deciphering disease mechanisms, yet comprehensive methods for genetic analysis of tissue …
[หนังสือ][B] Probabilistic models for structured biomedical data
A Jones - 2023 - search.proquest.com
Modern biomedical datasets—from molecular measurements of gene expression to
pathology images—hold promise for discovering new therapeutics and probing basic …
pathology images—hold promise for discovering new therapeutics and probing basic …