Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Using Deep Learning in computer-aided diagnosis systems has been of great interest due to its impres...
PURPOSE: To develop an end-to-end DL model for automated classification of affected territory in DWI...
Protein-protein interactions (PPIs) are essential to understanding cellular mechanisms, signaling ne...
Retrosynthesis prediction is a fundamental problem in organic chemistry and drug synthesis. We propo...
Facial landmarks, widely studied in human affective computing, are beginning to gain interest in the...
Health care images contain a variety of imaging information that has specific features, which can ma...
PURPOSE: Accurate and automated early survival prediction is critical for patients with glioblastoma...
The exploration of adaptive robotic systems capable of performing complex tasks in unstructured envi...
The classification problem for short time-window steady-state visual evoked potentials (SSVEPs) is i...
This article proposes a model-free kinematic control method with predefined-time convergence for rob...
Deep learning (DL) models have emerged as alternative methods to conventional ultrasound (US) signal...
Drug repositioning offers promising prospects for accelerating drug discovery by identifying potenti...
Antinuclear Antibody (ANA) testing is pivotal to help diagnose patients with a suspected autoimmune ...
The myotendinous junction (MTJ) facilitates force transmission between muscle and tendon to produce ...
Affective states are reflected in the facial expressions of all mammals. Facial behaviors linked to ...
EEG-based brain-computer interfaces (BCIs) have the potential to decode visual information. Recently...
Humans have been able to tackle biosphere complexities by acting as ecosystem engineers, profoundly ...
Walking-assistive devices require adaptive control methods to ensure smooth transitions between vari...
Patients with end-stage kidney disease (ESKD) frequently experience anemia, and maintaining hemoglob...
Clinical proteomics analysis is of great significance for analyzing pathological mechanisms and disc...
Infrared and visible light image fusion can solve the limitations of single-type visual sensors and ...