Networks—or graphs—are universal descriptors of systems of interacting elements. In
biomedicine and healthcare, they can represent, for example, molecular interactions …

Abstract Systems medicine (SM) has emerged as a powerful tool for studying the human
body at the systems level with the aim of improving our understanding, prevention and …

The widespread comorbidity among psychiatric disorders demonstrated in epidemiological
studies,,,–is mirrored by non-zero, positive genetic correlations from large-scale genetic …

Chronic disease prediction is a critical task in healthcare. Existing studies fulfil this
requirement by employing machine learning techniques based on patient features, but they …

Artificial intelligence is constantly revolutionizing biomedical research and healthcare
management. Disease comorbidity is a major threat to the quality of life for susceptible …

Hepatocellular carcinoma (HCC) is a common and fatal cancer. People with HCC report
higher odds of comorbidity compared with people without HCC. To explore the association …

Understanding the conditionally-dependent clinical variables that drive cardiovascular
health outcomes is a major challenge for precision medicine. Here, we deploy a recently …

Background: Cardiovascular diseases are the leading causes of mortality worldwide. One
reason behind this lethality lies in the fact that often cardiovascular illnesses develop into …

Background Patients with colorectal cancer (CRC) often present with multiple comorbidities,
and many of these can affect treatment and survival. However, previous comorbidity studies …

Background Age-related hearing loss, mental health conditions, and loneliness commonly
affect older adults. This study aimed to determine whether untreated hearing loss is …