mosaiques diagnostics and therapeutics AG
About mosaiques diagnostics
The mosaiques diagnostics & therapeutics AG was established in Hannover (Germany). The company's core competence is the early and reliable detection of diseases enabling personalized medicine during therapy and drug development. The company utilizes diagnostic polypeptide patterns (DiaPat® Tests) derived from the fast and accurate analysis of proteins and polypeptides in body fluids (e.g. urine and cerebrospinal fluid). For this purpose, mosaiques has developed a unique technology on the basis of clinical proteome analysis, enabling the early and differential detection of cardiovascular, renal, and urogenital diseases. Diagnosis of bladder and prostate cancer, chronic renal diseases, diabetic nephropathy, graft-versus-host disease, ureteropelvic junction obstruction in newborn, and infarct risk is already marketed in Germany through the subsidiary DiaPat GmbH.
- Founding: 2002
- Focus : Manufacturer
- Employees: 11-50
- Industry : Diagnostics
Product portfolio of mosaiques diagnostics
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Topic world Protein analytics
Protein analytics provides a deep insight into these complex macromolecules, their structure, function and interactions. It is essential for discovering and developing biopharmaceuticals, understanding disease mechanisms, and identifying therapeutic targets. Techniques such as mass spectrometry, Western blot and immunoassays allow researchers to characterize proteins at the molecular level, determine their concentration and identify possible modifications.
Topic world Protein analytics
Protein analytics provides a deep insight into these complex macromolecules, their structure, function and interactions. It is essential for discovering and developing biopharmaceuticals, understanding disease mechanisms, and identifying therapeutic targets. Techniques such as mass spectrometry, Western blot and immunoassays allow researchers to characterize proteins at the molecular level, determine their concentration and identify possible modifications.