Latest AI and machine learning research in stds for healthcare professionals.
Approximately 15% of human cancers are estimated to be attributed to viruses. Virus sequences can be...
During the COVID-19 pandemic, dermatologists reported an array of different cutaneous manifestations...
Testing and training animals in motor and related tasks is a cornerstone of pre-clinical behavioural...
Modern motor imagery (MI)-based brain computer interface systems often entail a large number of elec...
BACKGROUND: QTc interval monitoring, for the prevention of drug-induced arrhythmias is necessary, es...
Human Papilloma Virus (HPV) is a major risk factor for the development of oropharyngeal cancer. Auto...
The difficulty of estimating joint kinematics remains a critical barrier toward widespread use of in...
The present study aimed to assess the repurposing potential of existing antiviral drug candidates (F...
IMPORTANCE: Human papillomavirus (HPV) vaccine hesitancy or refusal is common among parents of adole...
We investigated the ability of machine-learning classifiers on radiomics from pre-treatment multipar...
Worldwide, testing capacity for SARS-CoV-2 is limited and bottlenecks in the scale up of polymerase ...
Security vulnerabilities play a vital role in network security system. Fuzzing technology is widely ...
Soft robotic systems are well suited for developing devices for biomedical applications. A bio-mimic...
Automated monitoring of the movements and behaviour of animals is a valuable research tool. Recently...
OBJECTIVES: To investigate whether a radiomic MRI feature-based prediction model can differentiate o...
OBJECTIVE: To determine whether machine learning (ML) can predict the presence of extracapsular exte...
OBJECTIVE: To compare the CT texture feature reproducibility of 2D and 3D segmentations and their ma...
In the real industrial production process, some minor faults are difficult to be detected by multiva...
The aim of the study was to investigate the usefulness of processing visual field (VF) using a varia...
Machine learning (ML) and deep learning (DL) systems, currently employed in medical image analysis, ...
Machine learning techniques can be applied to MALDI-TOF mass spectral data of drug-treated cells to ...