Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
INTRODUCTION: Neurological illnesses continue to be a major global health challenge and require novel and safe therapeutic strategies. Blue foods like marine fish, algae, and invertebrates consist of many bioactive proteins/peptides that might provide multiple benefits for maintenance of a healthy brain, including neuroprotection, reduction of inflammation, and reduction of oxidative stress. This ...
Alzheimer's disease remains a major global health challenge, and β-site amyloid precursor protein cleaving enzyme 1 (BACE-1) represents a critical therapeutic target as it catalyzes the rate-limiting step in amyloid-β production. While computational studies have extensively explored small-molecule BACE-1 inhibitors, large-scale screening combined with physics-based refinement has rarely been appli...
OBJECTIVE: This study evaluated dyadic endocrine interdependence among cancer patients and their spousal caregivers using a machine learning (ML) fram...
INTRODUCTION: Falls in older adults with dementia are common and have multiple consequences for their health and quality of life. Fall prediction mode...
Multi-modal models that fuse neuroimaging with clinical assessment data represent the current state of the art for automated Alzheimer's disease detec...
Although some drugs have been approved for clinical treatment, early diagnosis and intervention remain the most effective strategies for managing Alzh...
BACKGROUND AND PURPOSE: Alzheimer's disease, a common type of dementia, gradually steals memories and impacts daily life as brain cells deteriorate. W...
Dementia is a growing global health challenge, and early identification is essential for timely intervention. We evaluated whether foundation model-ba...
BACKGROUND: Informal caregivers of people living with dementia often experience high rates of caregiver burnout while providing care. Although there a...
BACKGROUND: The diagnosis and monitoring of Alzheimer disease (AD) currently rely on clinician-administered, in-person, and cross-sectional pen-and-pa...
Identifying serum biomarkers that accurately reflect the progression of coronary artery disease (CAD) remains a major challenge. Integrative proteomic...
Emerging evidence indicates that aberrant cholesterol metabolism in macrophages plays a role in tumorigenesis, however, how specific metabolites relea...
Autism spectrum disorder (ASD) affects tens of millions of families worldwide, yet parents confront abundant but unreliable online advice and limited ...
OBJECTIVE: Learning robust representations from scarce labeled bio-electrical time-series data remains a critical challenge in clinical diagnosis. Whi...
Lateralization is a hallmark of brain organization, yet the structural basis underlying this phenomenon remains a critical, unresolved question in cog...
PURPOSE: To examine the readability and linguistic characteristics of Alzheimer's disease and related dementias (ADRD) prevention, symptom, and treatm...
PURPOSE: Antibody-drug conjugates (ADC) targeting trophoblast cell surface antigen 2 (TROP-2) and cMET are entering clinical trials in non-small cell ...
Kidney fibrosis, characterized by excessive extracellular matrix deposition and progressive renal tissue remodeling, frequently culminates in End-stag...
Brain imaging genetics generally combines genotype data with brain structure and functional measures to investigate the genetic basis of neurological ...
OBJECTIVE: This study aims to support early diagnosis of Alzheimer's disease and detection of amyloid accumulation by leveraging the microstructural i...