Latest AI and machine learning research in prescriptions for healthcare professionals.
Multiple studies within the medical field have highlighted the remarkable effectiveness of using con...
Phenotypic drug discovery (PDD), which involves harnessing biological systems directly to uncover ef...
Due to considerable global prevalence and high recurrence rate, the pursuit of effective new medicat...
To explore the application efficacy and significance of deep learning in anesthesia management for g...
Computational approaches are widely applied in drug discovery to explore properties related to bioac...
Polypharmacy involves an individual using many medications at the same time and is a frequent health...
Various measures have been proposed to quantify upper-limb use through wrist-worn inertial measureme...
T-shaped partial least squares regression (T-PLSR) is a valuable machine learning technique for the ...
Aiming to apply automatic arousal detection to support sleep laboratories, we evaluated an optimized...
A rare metabolic condition called alkaptonuria (AKU) is caused by a decrease in homogentisate 1,2 di...
Artificial intelligence (AI) is a field of computer science that involves acquiring information, dev...
Unsupervised representation learning (URL) is still lack of a reasonable operator (e.g. convolution ...
In the realm of pulmonary tracheal segmentation, the scarcity of annotated data stands as a prevalen...
BACKGROUND: Older adults with dementia often face the risk of potentially inappropriate medication (...
Lung adenocarcinoma (LUAD) is a significant planetary health challenge with its high morbidity and m...
Cerebral aneurysms are a silent yet prevalent condition that affects a significant global population...
Pseudoprogression (PSP) is a related reaction of glioblastoma treatment, and misdiagnosis can lead t...
PURPOSE: Artificial intelligence (AI) refers to technology capable of mimicking human cognitive func...
Peptide-based drug discovery has surged with the development of peptide hormone-derived analogs for ...
Predicting drug-target interactions (DTIs) is one of the crucial tasks in drug discovery, but tradit...
A coupled multimodal emotional feature analysis (CMEFA) method based on broad-deep fusion networks, ...