Latest AI and machine learning research in ethics for healthcare professionals.
Despite the widespread use of encryption techniques to provide confidentiality over Internet communi...
Anatomy educators are often at the forefront of adopting innovative and advanced technologies for te...
There is evidence that non-coding RNAs play significant roles in the regulation of nutrient homeosta...
Electronic Medical Records (EMRs) contain clinical narrative text that is of great potential value t...
The number of patients with heart failure and related deaths is rapidly increasing worldwide, making...
We describe a protocol to perform fast and non-arbitrary quality control of single-cell RNA sequenci...
This paper is devoted to event-triggered non-fragile cost-guaranteed synchronization control for tim...
OBJECTIVES: Magnetic resonance imaging has high sensitivity in detecting early brainstem infarction ...
BACKGROUND: Despite the fact that tumor microenvironment (TME) and gene mutations are the main deter...
BACKGROUND: A Trusted Research Environment (TRE; also known as a Safe Haven) is an environment suppo...
In reality, learning from multi-view multi-label data inevitably confronts three challenges: missing...
We aim to synthesize brain time-of-flight (TOF) PET images/sinograms from their corresponding non-TO...
Hemoglobin is an essential protein found in blood and should not fall below a certain level in human...
In this study, we provide a systems biology method to investigate the carcinogenic mechanism of oral...
To realize a society in which older adults can live independently in their homes and familiar enviro...
BACKGROUND: Lung cancer has the highest mortality rate in the world, twice as high as the second hig...
Decentralized distributed learning is the key to enabling large-scale machine learning (training) on...
The task of projecting onto norm balls is ubiquitous in statistics and machine learning, yet the av...
Anaplastic lymphoma kinase (ALK) and ROS oncogene 1 (ROS1) gene fusions are well-established key pla...
The Hopfield Neural Network has been successfully applied to solve ill-posed inverse problems in dif...
Due to high recurrence rates in patients with non-small cell lung cancer (NSCLC), medical profession...