Cancer is the quintessential complex disease. As technologies evolve faster each day, we
are able to quantify the different layers of biological elements that contribute to the …

Melanoma, a malignant skin cancer arising from melanocytes, exhibits rapid metastasis and
a high mortality rate, especially in advanced stages. Current treatment modalities, including …

The availability of cytogenetics and cytogenomics technologies improved the detection and
identification of tumor molecular signatures as well as the understanding of cancer initiation …

Atherosclerosis is initiated by the accumulation of lipids in the arterial wall that trigger a
complex and poorly understood network of inflammatory processes. At the same time, recent …

Single-cell DNA sequencing (scDNA-seq) enables decoding somatic cancer variation.
Existing methods are hampered by low throughput or cannot be combined with …

Background Understanding cellular and molecular heterogeneity in glioblastoma (GBM), the
most common and aggressive primary brain malignancy, is a crucial step towards the …

Background Point mutations and structural variations (SVs) in mitochondrial DNA (mtDNA)
contribute to many neurodegenerative diseases. Technical limitations and heteroplasmy …

There is an urgent clinical need for multicolor imaging of single cancer cells (no ensemble
averaging) for identifying heterogenous expression of predictive biomarkers. Specifically …

Cellular heterogeneity is revolutionizing the way to study, monitor and dissect complex
diseases. This has been possible with the technological and computational advances …

Abstract Machine Learning research applied to the medical field is increasing. However, few
of the proposed approaches are actually deployed in clinical settings. One reason is that …