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.
High-temperature superconductivity with zero resistance and strange-metal behaviour in a nickelate material
Evidence of high-temperature superconductivity under pressure was recently found in a bulk nickelate material, but zero-resistance was not seen. In a new study using a different high pressure technique, zero-resistance is revealed, as well as other clues for understanding the superconductivity.
'SIMONA' software package released!
The software package SIMONA (an acronym standing for SIgned MOdels for Network Analysis) is designed to solve maximum-entropy models for signed networks and generate the related ensembles.
