Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
The end-to-end process in the discovery of drugs involves therapeutic candidate identification, vali...
Reinforcement learning (RL), a subset of machine learning (ML), could optimize and control biomanufa...
. This study aims to develop and validate an end-to-end software platform, PyHFO, that streamlines t...
Knee osteoarthritis (OA) diagnosis is based on symptoms, assessed through questionnaires such as the...
Electroencephalography (EEG) plays a crucial role in epilepsy analysis, and epileptic seizure predic...
Sensorimotor control of complex, dynamic systems such as humanoids or quadrupedal robots is notoriou...
. To improve breast cancer risk prediction for young women, we have developed deep learning methods ...
Cardiovascular diagnostics relies heavily on the ECG (ECG), which reveals significant information ab...
In the fetal cardiac ultrasound examination, standard cardiac cycle (SCC) recognition is the essenti...
Accurate reconstruction of a high-resolution 3D volume of the heart is critical for comprehensive ca...
As the number of electronic gadgets in our daily lives is increasing and most of them require some k...
Task-adapted image reconstruction methods using end-to-end trainable neural networks (NNs) have been...
Hepatitis B and C viruses (HBV and HCV) are significant causes of chronic liver diseases, with appro...
Drug repurposing is promising in multiple scenarios, such as emerging viral outbreak controls and co...
SIGNIFICANCE: Endoscopic screening for esophageal cancer (EC) may enable early cancer diagnosis and ...
The first step toward investigating the effectiveness of a treatment via a randomized trial is to sp...
BACKGROUND: Contrast-enhanced ultrasound (CEUS) is considered as an efficient tool for focal liver l...
OBJECTIVE: Identifying participants who will progress to advanced stage in knee osteoarthritis (KOA)...
Deep learning is a powerful tool for neural decoding, broadly applied to systems neuroscience and cl...
Recently, magnetically actuated micro/nanorobots hold extensive promises in biomedical applications ...
. During deep-learning-aided (DL-aided) ultrasound (US) diagnosis, US image classification is a foun...