NMI spin-off develops theranostics - 02/12/2024

immuneAdvice develops diagnostics to predict the efficacy of immunotherapies

Certain types of cancer are already being effectively treated using immunotherapies, though success rates can vary significantly between patients. Researchers from the Natural and Medical Sciences Institute (NMI) in Reutlingen, along with colleagues at the University of Tübingen, are working on a diagnostic approach to accompany therapy, which would rapidly assess whether the treatment is effective or requires adjustment.

Cell division, cell differentiation, cell repair and cell death play fundamental roles in the human organism, its development, health and reproduction. Cellular transformation processes are governed by two regulatory mechanisms: chromatin modifications and cell signaling networks. The EpiSignal Research Training Group sheds light on the hitherto little-researched interplay between these two complex systems.

Vicinity Bio: Optimisation of cancer diagnostics - 27/11/2024

Comprehensive histological diagnostics through high-dimensional imaging and artificial intelligence

Microscopic examination of tissue samples is essential, particularly in tumour diagnostics. The Tübingen-based company Vicinity Bio leverages cutting-edge imaging technologies combined with machine learning to generate comprehensive datasets of individual cells from tissue sections. This approach not only helps identify more targeted therapies but also enhances our understanding of cellular functions and processes within tissues and tumours.

Researchers at the Medical Center – University of Freiburg and the University’s CIBSS Cluster of Excellence discover how mitochondria not only produce energy but also influence inflammation.

Chromosomal instability plays a role in the progression of cancer: it shapes the properties of tumor cells and drives the development of therapy resistance. Scientists from the German Cancer Research Center (DKFZ), the Heidelberg Stem Cell Institute HI-STEM* and the European Molecular Biology Laboratory (EMBL) used state-of-the-art single-cell analysis methods to analyze the cellular heterogeneity of a specific form of acute myeloid leukemia.