Background: The majority of current pharmacological treatments for Parkinson's disease
(PD) were approved for clinical use in the second half of the last century and they only …

After intense scientific exploration and more than a decade of failed trials, Alzheimer's
disease (AD) remains a fatal global epidemic. A traditional research and drug development …

Since the decoding of the Human Genome, techniques from bioinformatics, statistics, and
machine learning have been instrumental in uncovering patterns in increasing amounts and …

For centuries, humans have sought to classify diseases based on phenotypic presentation
and available treatments. Today, a wide landscape of strategies, resources, and tools exist …

Abstract Background Researches on Lifestyle medicine (LM) have emerged in recent years
to garner wide attention. Prostate cancer (PCa) could be prevented and treated by positive …

In the realm of Parkinson's Disease (PD) research, the integration of wearable sensor data
with personal health records (PHR) has emerged as a pivotal avenue for patient alerting and …

Disease ontologies facilitate the semantic organization and representation of domain-
specific knowledge. In the case of prostate cancer (PCa), large volumes of research results …

Background Biomedical knowledge graphs (KG) have become crucial for describing
biological findings in a structured manner. To keep up with the constantly changing flow of …

Alzheimer's disease is a debilitating neurodegenerative condition which is known to be the
most common cause of dementia. Despite its rapidly growing prevalence, medicine still …

Objective: To explore how disease-related causality is formally represented in current
ontologies and identify their potential limitations. Methods: We conducted a systematic …