Behind the Paper
The real stories behind the latest research papers, from conception to publication, the highs and the lows
Which algorithm is just right for my data?
Artificial intelligence is impacting research and drug discovery and such techniques have been developed and applied for decades for structure activity analysis. Yet the question of which algorithm to use and how many molecules are needed is still an open one. We found a Goldilocks zone may apply.
Early life cold and heat exposure impacts white matter development in children
Brain scans of more than 2500 preadolescents suggest that early life exposure to heat and cold may have lasting impacts on brain white matter. The study, published in Nature Climate Change, highlights the vulnerability of foetuses and children to extreme temperatures
Targeting fatty acid synthase in preclinical models of triple-negative breast cancer brain metastases synergizes with chemotherapy and impairs invasion
Metastatic triple-negative breast cancer cells need to acquire the ability to produce new fatty acids to more effectively colonize the brain. Our study investigates how this metabolic vulnerability can be targeted to increase efficacy of chemotherapies and impair cancer cell invasion.
Automated assessment of cardiac dynamics in aging and dilated cardiomyopathy Drosophila models using machine learning
Our platform uses deep learning to segment optical microscopy images of Drosophila hearts, facilitating the quantification of cardiac parameters for aging and dilated cardiomyopathy. Moreover, using a machine learning approach we able to predict cardiac aging with high accuracy.
