Jane Synnergren

Leveraging Neural Network Models for Drug Repurposing: A case study on Cardiac Hypertrophy

This paper uses a deep learning model to identify potential drugs for cardiac hypertrophy by analyzing gene expression data and linking disease signals to known drug targets.

Targeted delivery of mRNA to the heart via extracellular vesicles or lipid nanoparticles

This study compares the efficiency of cardiac-specific extracellular vesicles and lipid nanoparticles in delivering mRNA to the heart, finding that cardiac-specific vesicles are more effective with less liver accumulation.

Representational Learning from Healthy Multi-Tissue Human RNA-seq Data such that Latent Space Arithmetics Extracts Disease Modules

This study uses a variational autoencoder trained on healthy human RNA-seq data to predict disease gene expression changes and identify drug targets through latent space arithmetic.