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DECIPHER-M: New Project Aims to Revolutionize Cancer Treatment by Predicting Metastasis

This groundbreaking research project connects various data types to predict cancer spread earlier and more precisely. With a collaborative approach, it strives to enhance cancer patient survival rates.

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There is a poster in which there is a robot, there are animated persons who are operating the robot, there are artificial birds flying in the air, there are planets, there is ground, there are stars in the sky, there is watermark, there are numbers and texts.

DECIPHER-M: New Project Aims to Revolutionize Cancer Treatment by Predicting Metastasis

A groundbreaking research project, DECIPHER-M, is underway to combat cancer by understanding and predicting its spread. Led by the Else Kröner Fresenius Center Dresden (EKFZ) for Digital Health, under Prof. Jakob Nikolas Kather's coordination, this project aims to enhance treatment options and improve patients' quality of life. Backed by the Federal Ministry of Education and Research (BMBF), it brings together institutions from Aachen, Essen, Heidelberg, Mainz, Munich, and Dresden.

Spanning 2023 to 2030, DECIPHER-M seeks to predict individual metastasis risk more accurately. Metastases, the spread of cancer cells to other body parts, complicate treatment. The project's multimodal approach connects various data, including tissue samples, X-ray images, and genetic information, enabling earlier and more precise diagnoses. With an initial funding of approximately 5.5 million euros for the first three years, the total budget is ideally around nine million euros.

The project's success relies on its collaborative nature. Institutions from Aachen, Essen, Heidelberg, Mainz, Munich, and Dresden join forces to tackle cancer's complexity. By combining their expertise, they strive to develop personalized treatment strategies, ultimately improving cancer patient survival rates.

The DECIPHER-M project, led by the EKFZ for Digital Health and coordinated by Prof. Kather, is poised to revolutionize cancer treatment. With its multimodal approach and collaborative spirit, it aims to predict metastasis risk accurately and develop tailored treatments. Backed by substantial funding, this project offers hope for enhanced cancer patient survival and improved quality of life.

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