Full article: The role of machine learning in healthcare responses to pandemics: maximizing
benefits and filling gaps Skip to Main Content Taylor and Francis Online homepage Browse …

The family of protein kinases comprises more than 500 genes involved in numerous
functions. Hence, their physiological dysfunction has paved the way toward drug discovery …

Federated learning is a distributed machine learning method for learning consumer data
generated by consumer electronic devices. It provides personalized intelligent services for …

MMP-9, also known as gelatinase B, is a zinc-metalloproteinase family protein that plays a
key role in the degradation of the extracellular matrix (ECM). The normal function of MMP-9 …

Alzheimer's disease (AD) is a complex multifactorial neurodegenerative disease
characterized by progressive memory loss. The main pathological features of the disease …

Alzheimer's disease (AD) is an age-dependent neurodegenerative disorder and the most
common cause of cognitive decline. The alarming epidemiological features of Alzheimer's …

Graphs can model real-world, complex systems by representing entities and their
interactions in terms of nodes and edges. To better exploit the graph structure, graph neural …

The incorporation of data analytics in the healthcare industry has made significant progress,
driven by the demand for efficient and effective big data analytics solutions. Knowledge …

Sarcopenia, the progressive decline in skeletal muscle mass and function, is observed in
various conditions, including cancer and aging. The complex molecular biology of …

Despite recent advances in treatment approaches, cancer is still one of the leading causes
of death worldwide. Restoration of tumor immune surveillance represents a valid strategy to …