Big data is transforming biomedical research by integrating massive amounts of data from
laboratory experiments, clinical investigations, healthcare records, and the internet of things …

In recent years, medical data analysis has become paramount in delivering accurate
diagnoses for various diseases. The plethora of medical data sources, encompassing …

Vector search has emerged as the foundation for large-scale information retrieval and
machine learning systems, with search engines like Google and Bing processing tens of …

Data series indexes are necessary for managing and analyzing the increasing amounts of
data series collections that are nowadays available. These indexes support both exact and …

Data series indexes are necessary for managing and analyzing the increasing amounts of
data series collections that are nowadays available. These indexes support both exact and …

Microscopic evaluation of tissue sections stained with hematoxylin and eosin is the current
gold standard for diagnosing thyroid pathology. Digital pathology is gaining momentum …

K nearest neighbor is a popular method for classification, but it suffers from high runtime and
space complexity. Various advancements have been made to improve classification …

In recent years, the COVID-19 and its variant are more dangerous for people with some
health complexity, such as breast cancer, diabetes, and heart disease. Diagnosis at the …

We consider the problem of private approximate nearest neighbor (ANN) search. A user
seeks the closest vector to a target query q among M vectors stored in a system of N non …

Objectives: This study investigated the inflammatory responses of fibroblast-like
synoviocytes (FLS) isolated from osteoarthritis (OA) patients, stimulated with …