Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
The type of host that a virus can infect, referred to as host specificity or tropism, influences inf...
Intra-articular administration of analgesics is performed to ensure good perioperative pain manageme...
Gaining knowledge and actionable insights from complex, high-dimensional and heterogeneous biomedica...
MOTIVATION: Computational methods that predict differential gene expression from histone modificatio...
Thanks to deep convolutional neural networks (CNNs), Brain Tumor Segmentation (BTS) has made great p...
Automated methods for detecting clinically significant (CS) prostate cancer (PCa) in multi-parameter...
In 2014, we reported a model for donor-recipient (D-R) matching in liver transplantation (LT) based ...
The ability of robotic rehabilitation devices to support paralysed end-users is ultimately limited b...
Eye-movements are the only directly observable behavioural signals that are highly correlated with a...
According to the European REACH Directive, the acute toxicity towards Daphnia magna should be assess...
Robot gait training has the potential to increase the effectiveness of walking therapy. Clinical out...
Systems based on bag-of-words models from image features collected at maxima of sparse interest poin...
Millions of people worldwide suffer from stroke each year. One way to assist patients cost-effective...
The theory of reinforcement learning provides a normative account, deeply rooted in psychological an...
The design of the mobility enhancement robotic wheelchair (MEBot) was based on input from electric p...
The aim of this study was to verify whether the use of zirconium oxide as a radiopacifier of an expe...