Induced pluripotent stem cell (iPSC)-based disease modelling and the cell replacement
therapy approach have proven to be very powerful and instrumental in biomedical research …

An increase in life expectancy in developed countries has led to a surge of chronic aging-
related diseases. In the last few decades, several studies have provided evidence of the …

Breast cancer is one of the most common and deadliest cancers among women. Since
histopathological images contain sufficient phenotypic information, they play an …

Advances in deep learning technology have enabled complex task solutions. The accuracy
of image classification tasks has improved owing to the establishment of convolutional …

Induced pluripotent stem cells (iPSC) are one the most prominent innovations of medical
research in the last few decades. iPSCs can be easily generated from human somatic cells …

Traditional imaging cytometry uses fluorescence markers to identify specific structures but is
limited in throughput by the labeling process. We develop a label-free technique that …

Abstract Artificial Intelligence based on Deep Learning (DL) is opening new horizons in
biomedical research and promises to revolutionize the microscopy field. It is now …

The manuscript aims at providing an overview of the published algorithms/automation tool
for artificial intelligence applied to imaging for Healthcare. A PubMed search was performed …

The advent of induced pluripotent stem cell (iPSC) technology, which allows to transform
one cell type into another, holds the promise to produce therapeutic cells and organs on …

Deep learning is a significant step forward for developing autonomous tasks. One of its
branches, computer vision, allows image recognition with high accuracy thanks to the use of …