At the medical informatics world conference MedInfo23 in Sydney, Australia, Friedemann Ringwald from the Institute of Medical Informatics of Heidelberg University Hospital had the opportunity to present his conference paper titled "Architecture of the Mass Spectrometry Data Management Pipeline."
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Presenting the SMART-CARE architecture at the MEDINFO23 conference in Sydney
MSCoreSys status meeting 2022
The members of the MSCoreSys research initiative met on the 26th and 27th of September 2022 in Heidelberg to hold their annual status meeting. With more than 100 scientists on site, the four research cores from Berlin, Mainz, Munich and Heidelberg presented and discussed the progress of their individual projects, exchanged on the progress of the common aim of establishing a mass spectrometry based diagnostic pipeline in systems medicine and kicked off substantial networks working towards the consolidation of the MSCoreSys research initiative.
Junior Research Group completes SMART-CARE
Dr. Junyan Lu joined SMART-CARE consortium on December 1st, 2021 to lead a new junior group of "Computational Mass-spectrometry, Multi-omics and Precision Oncology"
With his skills in biomedical data science and experience in collaborative studies, Dr. Lu leads a junior group sitting at the interface between the experimental, clinical and computational teams in SMART-CARE. The junior group aims to develop new computational methods for the robust and sensitive mining of primary mass spectrometry data, as well as the efficient integrating of mass spectrometry data with other omics and clinical data, which will serve as a solid foundation for patient stratification and biomarker discovery.
SMART-CARE network meeting 2021
See the network of a collaborative project grow
SMART-CARE had its second plenary progress meeting, to discuss recent achievements towards our common goal to identify cancer predictors. Great progress was reported by the clinical, mass spectrometric and data analysis teams in collecting precious clinical material and establishing workflows to generate and analyse proteomic and metabolomic data. But it was