Aims Artificial intelligence (AI) and machine learning (ML) promise vast advances in medicine.
The current state of AI/ML applications in cardiovascular medicine is largely unknown. …

Technology utilizing human induced pluripotent stem cells (iPS cells) has enormous potential
to provide improved cellular models of human disease. However, variable genetic and …

CA19-9 values are regularly measured in patients with pancreatic cancer. Certainly, its
potential as a biomarker has been compromised by false negative results in CA19-9 negative …

Background Contemporary deep learning approaches show cutting-edge performance in a
variety of complex prediction tasks. Nonetheless, the application of deep learning in …

Background Machine learning (ML) is a powerful tool for identifying and structuring several
informative variables for predictive tasks. Here, we investigated how ML algorithms may …

Background The diagnosis of Parkinson's disease (PD) is still challenging and biomarkers
could contribute to an improved diagnostic accuracy. Tear fluid (TF) is an easily accessible …

Objectives: Disease-modifying therapies for amyotrophic lateral sclerosis (ALS) are still not
satisfactory. The Rho kinase (ROCK) inhibitor fasudil has demonstrated beneficial effects in …

Aims Malignant germ cell tumours (GCTs) of the testis are rare neoplasms, but the most
common solid malignancies in young men. World Health Organization guidelines divide GCTs …

Sleep requires sleep-active neurons that depolarize to inhibit wake circuits. Sleep-active
neurons are under the control of homeostatic mechanisms that determine sleep need. However…

Gene expression data is commonly available in cancer research and provides a snapshot of
the molecular status of a specific tumor tissue. This highdimensional data can be analyzed …