Latest AI and machine learning research in prescriptions for healthcare professionals.
The identification of drug-target interactions (DTIs) is an essential step in the process of drug discovery. As experimental validation suffers from high cost and low success rate, various computational models have been exploited to infer potential DTIs. The performance of DTI prediction depends heavily on the features extracted from drugs and target proteins. The existing predictors vary in input...
An outbreak of COVID-19 that began in late 2019 was caused by a novel coronavirus(SARS-CoV-2). It has become a global pandemic. As of June 9, 2020, it has infected nearly 7 million people and killed more than 400,000, but there is no specific drug. Therefore, there is an urgent need to find or develop more drugs to suppress the virus. Here, we propose a new nonlinear end-to-end model called LUNAR....
With the advent of the artificial intelligence era, target adaptive tracking technology has been rapidly developed in the fields of human-computer int...
BACKGROUND: In anti-vascular endothelial growth factor (anti-VEGF) therapy, an accurate estimation of multi-class retinal fluid (MRF) is required for ...
Failure to identify difficult intubation is the leading cause of anesthesia-related death and morbidity. Despite preoperative airway assessment, 75-93...
Although the use of excipients is widespread, a thorough understanding of the drug interaction potential of these compounds remains a frequent topic o...
BACKGROUND: Parkinson's disease is heterogeneous in symptom presentation and progression. Increased understanding of both aspects can enable better pa...
In the process of drug discovery, identifying the interaction between the protein and the novel compound plays an important role. With the development...
Epidemiological studies have revealed the associations of air pollutants and meteorological factors with a range of mental health conditions. However,...
Recent progress in deep learning has led to accurate and efficient generic object detection networks. Training of highly reliable models depends on la...
Stroke is one of the leading causes of death and the primary cause of acquired disability worldwide. Many stroke survivors have difficulty using their...
Haptic interaction is essential for the dynamic dexterity of animals, which seamlessly switch from an impedance to an admittance behaviour using the f...
Artificial intelligence (AI) models usually require large amounts of high-quality training data, which is in striking contrast to the situation of sma...
There was an investigation of the auxiliary role of convolutional neural network- (CNN-) based magnetic resonance imaging (MRI) image segmentation alg...
Identifying drug-target protein association pairs is a prerequisite and a crucial task in drug discovery and development. Numerous computational model...
Comparative outcome studies investigating internal Double-J (DJ) and externalized stents have primarily been performed for open and laparoscopic pyel...
Due to the non-uniform illumination conditions, images captured by sensors often suffer from uneven brightness, low contrast and noise. In order to im...
Although single-port robot-assisted radical prostatectomy (SP-RARP) is considered a safe and feasible approach for radical prostatectomy, the compara...
Human-Object Interaction (HOI) Detection is an important task to understand how humans interact with objects. Most of the existing works treat this ta...
Neurological disorders affect various aspects of life. Finding drugs for the central nervous system is a very challenging and complex task due to the ...