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 …

Neural stem cells (NSCs) have garnered significant scientific and commercial interest in the
last 15 years. Given their plasticity, defined as the ability to develop into different phenotypes …

In this paper, the urinary bladder cancer diagnostic method which is based on Multi-Layer
Perceptron and Laplacian edge detector is presented. The aim of this paper is to investigate …

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

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 …

Cancer is one of the major causes of death in the modern world, and the incidence varies
considerably based on race, ethnicity, and region. Novel cancer treatments, such as surgery …

Herein, we implement and access machine learning architectures to ascertain models that
differentiate healthy from apoptotic cells using exclusively forward (FSC) and side (SSC) …

Plant diseases introduce significant yield and quality losses to the food production industry,
worldwide. Early identification of an epidemic could lead to more effective management of …

Progress in computing capabilities has enhanced science in many ways. In recent years,
various branches of machine learning have been the key facilitators in forging new paths …

Parkinson's disease is a common, incurable neurodegenerative disorder that is clinically
heterogeneous: it is likely that different cellular mechanisms drive the pathology in different …