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e:Med

has the objective of promoting system-oriented research of diseases by linking life sciences and informatics and establishing a systems medicine network in Germany.

e:Med

has the objective of promoting system-oriented research of diseases by linking life sciences and informatics and establishing a systems medicine network in Germany.

e:Med

has the objective of promoting system-oriented research of diseases by linking life sciences and informatics and establishing a systems medicine network in Germany.

e:Med

has the objective of promoting system-oriented research of diseases by linking life sciences and informatics and establishing a systems medicine network in Germany.

A systems medicine network

e:Med has the objective of establishing systems medicine in Germany. e:Med promotes system-oriented research into diseases in order to facilitate improved prevention, more comprehensive diagnostics and individually adjusted therapy schemes in individualized medicine. The program brings together scientists with molecular-genetic, clinical, mathematical and information technology expertise, with the objective of ensuring that research results quickly benefit patients.
Electronic processing (e:Med) plays a particularly important role for unraveling scientific questions in iterative cycles of experimental studies and computer modelling approaches. The nationwide research and funding concept has been funded by the Federal Ministry of Education and Research (BMBF) since 2013.
 

Events and Highlights

Junior research group

Systems Medicine Research in Lymphoma and Leukemias

Lymphomas and leukaemias affect each patient individually. While many patients have a very good prognosis thanks to modern therapies, too many people still suffer from lymphoma as a recurring, sometimes fatal disease. In order to further improve the treatment of lymphoma and leukemia patients, the e:Med junior research group SYMPATHY conducts systems medicine research. This means trying to bring together all the information about the patients, their disease, potential therapies and other factors in order to draw conclusions about the biology of the disease, the best individual therapy and the prognosis in each case.

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Alliances

Unveiling Chemotherapy Resistance in Lung Cancer

Small cell lung cancer (SCLC) is a particularly aggressive lung tumor mainly found in heavy smokers. Most patients are treated with chemotherapy in order to counteract the rapid proliferation of the tumor. This results often in notable efficacy against the tumor, however, relapses are frequent over time. To understand the exact development of tumors in individual patients during treatment and relapse is a significant challenge and goal. 

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e:Med

Fresh air in systems medicine – young talent is shaping the future

An interview with the e:Med scientists Silke Szymczak and Julie George in the 16th german issue of gesundhyte.de.

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e:Med

Health, Harbor, Hamburg: e:Med celebrates collaboration

The charming port city of Hamburg hosted Germany’s systems medicine community in late November days. The e:Med Meeting 2024 on Systems Medicine opened the doors of brilliant Helmut-Schmidt Auditorium in the beautiful campus of Bucerius Law School to its guests, speakers and participants from all over Germany and beyond.

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Alliances

How AI is helping to bridge the research gap between animals and humans

Understanding human diseases with the help of animal models is a central challenge in medical research, known as the "translational gap". In a collaboration between e:Med researchers from IMISE, Leipzig University and Charité-Universitätsmedizin Berlin, have developed an AI-based model that significantly improves the transferability of animal COVID-19 data to humans. The work has now been published in the journal "The Lancet -eBioMedicine".

Pressemeldung

Junior Research Alliances

When is the best time of day for cancer treatment?

Can the time of day at which a cancer therapy is administered optimize its effectiveness? e:Med researchers led by Dr. Adrián Granada, Charité Universitätsmedizin Berlin, show that the internal clock of cancer cells is a gap in their system that can be used therapeutically to maximize the effect of chemotherapy. The scientists used breast cancer cells to identify time windows in which the administration of drugs was particularly effective. This novel approach is a further building block in personalized cancer therapy, as it can improve treatment outcomes while minimizing side effects. The work has now been published in the journal Nature Communications.

Press release

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