Deep learning describes a class of machine learning algorithms that are capable of
combining raw inputs into layers of intermediate features. These algorithms have recently …

Background: Machine learning (ML) is a key component of artificial intelligence (AI). The
terms machine learning, artificial intelligence, and deep learning are erroneously used …

Due to the limited ability of conventional methods and the limited perspective of human
diagnostics, patients are often diagnosed incorrectly or at a late stage as their disease …

Motivation DNA methylation datasets are growing ever larger both in sample size and
genome coverage. Novel computational solutions are required to efficiently handle these …

Using real-world evidence in biomedical research, an indispensable complement to clinical
trials, requires access to large quantities of patient data that are typically held separately by …

The General Data Protection Regulation (GDPR) became binding law in the European
Union Member States in 2018, as a step toward harmonizing personal data protection …

Early life is an important window of opportunity to improve health across the full lifecycle. An
accumulating body of evidence suggests that exposure to adverse stressors during early life …

In recent years, more and more health data are being generated. These data come not only
from professional health systems, but also from wearable devices. All these 'big data'put …

Multisite medical data sharing is critical in modern clinical practice and medical research.
The challenge is to conduct data sharing that preserves individual privacy and data utility …

Background: It is widely accepted and acknowledged that data harmonization is crucial: in
its absence, the co-analysis of major tranches of high quality extant data is liable to …