Medical Bioinformatics

Precise cell analyses

Multi-modal individual cell analyses: A combination of various analysis technologies, such as next generation sequencing, multi-parameter mass spectrometry and microfluidic systems for measuring various cell characteristics
Multiomics: Facilitate the concurrent characterization of numerous molecular and cellular markers in tissue samples, including whole-genome analyses, transcriptome analyses and epigenome analyses
Multiparameter immunophenotyping: High-resolution characterization of immune cells through the simultaneous analysis of various surface and intracellular markers, permits recording of the functional states of the immune system
Spatially resolved transcriptome analyses: High-resolution characterization of cell interactions, analyses of the functional states of immune cells in tumors and their surrounding areas (tumor micro-environment)
ISO 9001:2015 certified quality management system

Data-based machine learning
Identification of molecular biology and cellular patterns, identification and validation of biomarkers, predictions regarding therapy success and side-effects
In silico clinical studies: Digital patient twins, development of personalized therapies, planning of clinical studies
Computer-supported biology: Modeling and classification of RNA secondary structure motifs, characterization of cell interactions, description of ligand-receptor interactions in tissue samples

·Development of software components for medical devices and in vitro diagnostics
Development of tailor-made bioinformatics pipelines for applications in lab diagnostics or companion diagnostics for clinical studies
Development of FHIR profiles for applications in lab diagnostics
Software components are planned and implemented according to the IEC 62304 and ISO 14971 standards to ensure compliance with the regulatory requirements in healthcare.
ISO 9001:2015 certified quality management system