Latest AI and machine learning research in stem cell research for healthcare professionals.
The purpose of our study is to identify the predictive factors for a minimum clinically successful t...
BACKGROUND AND OBJECTIVES: In recent decades, cancer has become one of the most fatal and destructiv...
Human embryonic stem cells (hESC), derived from the blastocysts, provide unique cellular models for ...
This study examined the treatment effects between unilateral hybrid therapy (UHT; unilateral robot-a...
The recent explosion in machine learning efforts in the quality assurance (QA) space has produced a ...
Tetraplegia resulting from cervical injury is the most frequent neurologic category after spinal cor...
Specialty crop herbicides are not a priority for the agrochemical industry, and many of these crops ...
Children with cerebral palsy have difficulty to sit, stand, walk, run and jump independently. Thera...
A varying oxygen environment is known to affect cellular function in disease as well as activity of ...
Development of near infrared (NIR) light-responsive nanomaterials for high performance multimodal ph...
Although electroconvulsive therapy (ECT) is one of the most effective treatments for major depressiv...
Artificial intelligence (AI) involves computational networks (neural networks) that simulate human i...
With the advancement of treatment modalities in radiation therapy for cancer patients, outcomes have...
This paper examines the ethical pitfalls and challenges that non-ethicists, such as researchers and ...
BACKGROUND AND OBJECTIVES: Clinical staff providing addiction treatment predict patient outcome poor...
STUDY DESIGN: Randomized dual center controlled clinical trial.
There is growing interest in population health research, which uses methods based on artificial inte...
In silico toxicity prediction plays an important role in the regulatory decision making and selectio...
BACKGROUND: Intrapapillary capillary loops (IPCLs) represent an endoscopically visible feature of ea...
For decades, our ability to predict suicide has remained at near-chance levels. Machine learning has...
OBJECTIVE: To develop different radiomic models based on the magnetic resonance imaging (MRI) radiom...