Latest AI and machine learning research in work force for healthcare professionals.
The expanding field of epitranscriptomics might rival the epigenome in the diversity of biological processes impacted. In recent years, the development of new high-throughput experimental and computational techniques has been a key driving force in discovering the properties of RNA modifications. Machine learning applications, such as for classification, clustering or de novo identification, have ...
For artificial intelligence (AI) based systems to become clinically relevant, they must perform well. Machine Learning (ML) based AI systems require a large amount of labelled training data to achieve this level. In cases of a shortage of such large amounts, Generative Adversarial Networks (GAN) are a standard tool for synthesising artificial training images that can be used to augment the data se...
Prior authorization (PA) may be a necessary evil within the healthcare system, contributing to physician burnout and delaying necessary care, but also...
Numerous cellular functions rely on protein-protein interactions. Efforts to comprehensively characterize them remain challenged however by the divers...
It has attracted much attention worldwide that the application of artificial intelligence (AI) in primary screening and clinical diagnosis and treatme...
With the continuous development of structural biology, the requirement for accurate threedimensional structures during functional modulation of biolog...
BACKGROUND: As an important determinant in drug discovery, the accurate analysis and acquisition of pharmacokinetic parameters are very important for ...
BACKGROUND: During neurological rehabilitation training for patients with lower limb dysfunction, active rehabilitation training based on interactive ...
This article describes the experience of a resident physician on the burnout-prone demands of postgraduate training during rapidly evolving integratio...
ChatGPT is a virtual assistant with artificial intelligence (AI) that uses natural language to communicate, i.e., it holds conversations as those that...
A shortage of inpatient beds and nurses during the coronavirus disease 2019 pandemic has lent priority to safe same-day discharge after surgery. The m...
BACKGROUND: Electroencephalogram (EEG) monitoring is recommended as routine in newborn neurocritical care to facilitate early therapeutic decisions an...
The lack of diversity, equity, and inclusion continues to hamper the artificial intelligence (AI) field and is especially problematic for healthcare a...
Chaotic time series have been captured by reservoir computing models composed of a recurrent neural network whose output weights are trained in a supe...
Accurate ab initio calculations are of fundamental importance in physics, chemistry, biology, and materials science, which have witnessed rapid develo...
The X-ray diffraction (XRD) technique based on crystallography is the main experimental method to analyze the three-dimensional structure of proteins....
Deep neural networks (DNNs) are the primary driving force for the current development of medical imaging analysis tools and often provide exciting per...
Biomedical image datasets can be imbalanced due to the rarity of targeted diseases. Generative Adversarial Networks play a key role in addressing this...
Squatting is a dynamic task that is often done for strengthening and improving balance. Most squat training systems partially support body weight. How...