Latest AI and machine learning research in geriatrics for healthcare professionals.
: Our research group developed a robot-assisted diabetes self-management monitoring system to suppor...
Accurate identification and localization of multiple abnormalities are crucial steps in the interpre...
In recent years, a variety of deep learning networks for cardiac MRI (CMR) segmentation have been de...
Accurate estimation of photovoltaic (PV) system performance is crucial for determining its feasibili...
BACKGROUND: Assessment of activities of daily living (ADLs) and instrumental ADLs (iADLs) is key to ...
The prediction of three-dimensional (3D) protein structure from amino acid sequences has stood as a ...
Early diagnosis of Alzheimer's disease is crucial to stall the deterioration of brain function, but ...
With technological advancements in diagnostic imaging, smart sensing, and wearables, a multitude of ...
Xerostomia may be accompanied by changes in salivary flow rate and the incidence increases in elderl...
BACKGROUND: The most common degenerative condition in older adults is dementia, which can be predict...
Crohn's disease (CD) and intestinal tuberculosis (ITB) share similar histopathological characteristi...
This study aimed to assess the performance of a deep learning algorithm in helping radiologist achie...
The complex molecular mechanism and pathophysiology of Alzheimer's disease (AD) limits the developme...
Molecular Biology has long tried to discover mechanisms, considering that unless we understand the p...
We investigate risk factors for severe COVID-19 in persons living with HIV (PWH), including among ra...
Early and accurate diagnosis of focal liver lesions is crucial for effective treatment and prognosis...
Robot-assisted bilateral arm training has demonstrated its effectiveness in improving motor function...
Large language models (LLMS) emerge as the most promising Natural Language Processing approach for c...
PURPOSE: The efficacy of adjuvant chemotherapy in elderly breast cancer patients is currently contro...
Predicting compound activity in assays is a long-standing challenge in drug discovery. Computational...
Alzheimer's disease (AD) is a heterogeneous age-dependent neurodegenerative disorder. Its hallmarks ...