Head of the LipiTUM research group Dr. Josch Konstantin Pauling (left) and PhD candidate Nikolai Köhler (right) interpret the disease-related changes in lipid metabolism using a newly developed network. Image: LipiTUM
Head of the LipiTUM research group Dr. Josch Konstantin Pauling ( left ) and PhD candidate Nikolai Köhler ( right ) interpret the disease-related changes in lipid metabolism using a newly developed network. Image: LipiTUM - Machine learning is playing an ever-increasing role in biomedical research. Scientists at the Technical University of Munich (TUM) have now developed a new method of using molecular data to extract subtypes of illnesses. In the future, this method can help to support the study of larger patient groups. Nowadays doctors define and diagnose most diseases on the basis of symptoms. However, that does not necessarily mean that the illnesses of patients with similar symptoms will have identical causes or demonstrate the same molecular changes. In biomedicine, one often speaks of the molecular mechanisms of a disease.
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