Background and Purpose— We aimed to investigate the ability of machine learning (ML)
techniques analyzing diffusion-weighted imaging (DWI) and fluid-attenuated inversion recovery …

The artificial neural network (ANN)–a machine learning technique inspired by the human
neuronal synapse system–was introduced in the 1950s. However, the ANN was previously …

We aimed to establish a high-performing and robust classification strategy, using magnetic
resonance imaging (MRI), along with combinations of feature extraction and selection in …

In recent years, artificial intelligence (AI) technologies have greatly advanced and become a
reality in many areas of our daily lives. In the health care field, numerous efforts are being …

Materials that exhibit thermally activated delayed fluorescence are promising for the realization
of efficient organic light-emitting diodes. However, finding suitable deep-blue thermally …

Although several studies have identified a distinct gut microbial composition in Parkinson’s
disease (PD), few studies have investigated the oral microbiome or functional alteration of …

Simultaneously obtaining high efficiency and deep blue emission in organic light emitting
diodes (OLEDs) remains a challenge. To overcome the demands associated with deep blue …

Two new orange–red thermally activated delayed fluorescence (TADF) materials, PzTDBA
and PzDBA, are reported. These materials are designed based on the acceptor–donor–…

While high-resolution proton density-weighted magnetic resonance imaging (MRI) of intracranial
vessel walls is significant for a precise diagnosis of intracranial artery disease, its long …

Background: Early identification of people at risk of imminent progression to dementia due to
Alzheimer disease is crucial for timely intervention and treatment. We investigated whether …