With the advent of artificial intelligence and Big Data-projects, the necessity for a transition
from analog medicine to modern-day solutions such as cloud computing becomes …

In recent years, decentralized machine learning has emerged as a significant advancement
in biomedical applications, offering robust solutions for data privacy, security, and …

This research is a quantitative research conducted in class V SD Gugus Wijaya Kusuma.
The purpose of this study was to determine the effect of Digital Learning Media on the …

Artificial intelligence (AI) and data sharing go hand in hand. In order to develop powerful AI
models for medical and health applications, data need to be collected and brought together …

Federated learning enables collaboration in medicine, where data is scattered across
multiple centers without the need to aggregate the data in a central cloud. While, in general …

Background: The question of the utility of face masks in preventing acute respiratory
infections has received renewed attention during the COVID-19 pandemic. However, given …

Innovative information-sharing techniques and rapid access to stored research data as
scientific currency have proved highly beneficial in healthcare and health research. Yet …

The recent SARS-CoV-2 pandemic underscored the effectiveness and rapid deployment of
digital public health interventions, notably the digital proximity tracing apps, leveraging …

Traditionally, medical research is based on randomized controlled trials (RCTs) for
interventions such as drugs and operative procedures. However, increasingly, there is a …

The COVID-19 pandemic had a detrimental impact on the world affecting every level of
society. It aggravated existing health inequalities and the social determinants that underlie …