Abstract Background: Digital microscopy combined with artificial intelligence (AI) is increasingly being implemented in health care, predominantly in advanced laboratory…
Abstract Artificial neural networks in drug discovery have shown remarkable potential in various areas, including molecular similarity assessment and virtual…
Abstract PURPOSE: This study aims to detect common bile duct (CBD) dilatation using deep learning methods from artificial intelligence algorithms.…
Abstract Background: Atherosclerosis, a complex chronic vascular disorder with multifactorial etiology, stands as the primary culprit behind consequential cardiovascular events,…
Abstract Background: Although the application of mesenchymal stem cells (MSCs) in engineered medicine, such as tissue regeneration, is well known,…
Abstract Unmanned aerial vehicle (UAV)-based imagery has become widely used to collect time-series agronomic data, which are then incorporated into…
Abstract Patient health record analysis models assist the medical field to understand the current stands and medical needs. Similarly, collecting…
Abstract Background: A limitation of traditional differential expression analysis on small datasets involves the possibility of false positives and false…
Abstract Artificial intelligence methods offer exciting new capabilities for the discovery of biological mechanisms from raw data because they are…
Abstract Background: Cancer of unknown primary (CUP), representing approximately 3-5% of all malignancies, is defined as metastatic cancer where a…