To survive, organisms must effectively respond to the challenge of maintaining their
physiological integrity in the face of an ever-changing environment. Preserving this …

While Alzheimer's disease (AD) classical diagnostic criteria rely on clinical data from a
stablished symptomatic disease, newer criteria aim to identify the disease in its earlier …

With the recent approval by the FDA of the first disease-modifying drug for Alzheimer's
Disease (AD), personalized medicine will be increasingly important for appropriate …

The spread of infectious diseases such as COVID-19 depends on complex fluid dynamics
interactions between pathogens and fluid phases, including individual droplets and …

Alzheimer's disease (AD) is a progressive neurodegenerative disease characterized by
neuronal loss, extracellular amyloid-β (Aβ) plaques, and intracellular neurofibrillary tau …

Introduction Mathematical models play a crucial role in investigating complex biological
systems, enabling a comprehensive understanding of interactions among various …

Background: There is a common agreement that Alzheimers disease (AD) is inherently
complex; otherwise, a general disagreement remains on its etiological underpinning, with …

With the explosive growth of biomarker data in Alzheimer's disease (AD) clinical trials,
numerous mathematical models have been developed to characterize disease-relevant …

Despite extensive research efforts to mechanistically understand late-onset Alzheimer's
disease (LOAD) and other complex mental health disorders, curative treatments remain …

While aging is an important risk factor for neurodegenerative disorders such as Alzheimer's
disease and Parkinson's disease, age-related cognitive decline can also manifest without …