Latest AI and machine learning research in geriatrics for healthcare professionals.
To evaluate the performance of machine learning (ML) models and to compare it with logistic regressi...
Current research on the angiotensin-converting-enzyme () gene has yielded controversial results on w...
An integrative review investigating the incorporation of artificial intelligence (AI) and machine le...
This study aimed to explore nurses' perceptions towards care robots and their work experiences in ca...
INTRODUCTION: Machine learning research into automated dementia diagnosis is becoming increasingly p...
Alzheimer's disease (AD) is the most common form of dementia. Computer-aided diagnosis (CAD) can hel...
Medical experts may use Artificial Intelligence (AI) systems with greater trust if these are support...
Socially assistive devices such as care robots or companions have been advocated as a promising tool...
Drug discovery aims to select proper targets and drug candidates to address unmet clinical needs. Th...
: The success of many machine learning applications depends on knowledge about the relationship betw...
Despite increasing mechanistic understanding, undetected and underrecognized drug-drug interactions ...
The process of senescence impairs the function of cells and can ultimately be a key factor in the de...
Recently, the scientific community has placed great emphasis on the recognition of human activity, e...
Although medical research has been performed predominantly on men both in preclinical and clinical s...
INTRODUCTION: It is critical to develop accurate and universally available biomarkers for dementia d...
Falls in the elderly are associated with significant morbidity and mortality. While numerous fall de...
Background Patients presenting to the emergency department (ED) with acute chest pain (ACP) syndrome...
BACKGROUND: Osteoporosis is one of the diseases that requires early screening and detection for its ...
In drug discovery, compounds with well-defined activity against multiple targets (multitarget compou...
OBJECTIVE: Neuropsychologists widely use the Rey-Osterrieth complex figure test (RCFT) as part of ne...
Metabolic flux augmentation via glucose transport activation may be desirable in glucose transporter...