Rare diseases (RDs) are complicated health conditions that are difficult to be managed at
several levels. The scarcity of available data chiefly determines an intricate scenario even …

Purpose The data economy mainly relies on the surveillance capitalism business model,
enabling companies to monetize their data. The surveillance allows for transforming private …

In recent years, 2D convolutional neural networks (CNNs) have been extensively used to
diagnose neurological diseases from magnetic resonance imaging (MRI) data due to their …

Objectives: Artificial Intelligence (AI) offers significant potential for improving healthcare. This
paper discusses how an “open science” approach to AI tool development, data sharing …

Background: British Columbia's 8-1-1 telephone service connects callers with nurses for
health care advice. As of Nov. 16, 2020, callers advised by a registered nurse to obtain in …

The contribution ratio of metabolic enzymes such as cytochrome P450 to in vivo clearance
(fraction metabolized: fm) is a pharmacokinetic index that is particularly important for the …

Background As a major public health crisis, the novel coronavirus disease 2019 (COVID-19)
pandemic demonstrates the urgent need for safe, effective, and evidence-based …

The utilization of artificial intelligence (AI) in healthcare is on the rise, demanding increased
accessibility to (public) medical data for benchmarking. The digitization of healthcare in …

Objectives: The emerging COVID-19 pandemic has caused one of the world's worst health
disasters compounded by social confusion with misinformation, the so-called “Infodemic”. In …

Study design A narrative review of principles, benefits and disadvantages, as well as
methods of research data sharing. Objectives To assist prospective Spinal Cord authors and …