AI Diagnoses Brain Tumors in Minutes Instead of Weeks

AI system outperforms experienced specialists

12-Jun-2026 - Experts in Heidelberg have developed an AI system that can classify brain tumors with unprecedented accuracy using standard microscopic tissue sections. Using digitized standard stains, the system identifies more than 100 molecular subtypes of central nervous system tumors, delivers results ...

AI-supported molecular cancer diagnosis for brain tumors

15-Dec-2025 - Researchers at the Hopp Children's Tumor Center Heidelberg (KiTZ), the German Cancer Research Center (DKFZ), the Heidelberg Medical Faculty (MFHD) of Heidelberg University and Heidelberg University Hospital (UKHD) have taken a decisive step towards more precise diagnosis of brain tumors. The ...

Transparent artificial intelligence improves assessment of prostate cancer aggressiveness

AI speaks the language of pathologists

14-Oct-2025 - Until today, the aggressiveness of prostate cancer has been assessed primarily using the Gleason grading system—an analysis of cancer tissue in a pathology laboratory that is highly subjective. An international research team led by the German Cancer Research Center (DKFZ) has now developed a ...

The evolution of cancer cells decoded

"Our vision is a new type of early cancer detection"

11-Jul-2025 - Cancer does not develop overnight. It can take decades for cancer-promoting changes in the genome to eventually lead to the formation of a malignant tumor. Researchers at the German Cancer Research Center (DKFZ) have now developed a method that allows for the first time to reconstruct the ...

Colorectal cancer screening via smartphone?

App-based early detection is as accurate as laboratory tests and could motivate more people to undergo screening

12-Jun-2025 - Colorectal cancer screening programs are currently underutilized in Germany. This also applies to testing for blood in the stool. The immunological stool tests can detect tiny amounts of blood in the stool. Scientists at the German Cancer Research Center (DKFZ) have investigated whether ...

AI-supported image analysis: metrics determine quality

New online tool helps to select the right algorithm

14-Feb-2024 - How well do the algorithms used in the AI-supported analysis of medical images perform their respective tasks? This depends to a large extent on the metrics used to evaluate their performance. An international consortium led by scientists from the German Cancer Research Center (DKFZ) and the ...

AI-based support system for skin cancer diagnostics explains its decisions

The explanations increased doctors' confidence in the machine's decisions - as well as in their own diagnoses

19-Jan-2024 - Artificial intelligence (AI) can help dermatologists to detect skin cancer. However, many dermatologists distrust the algorithms' decisions, which they cannot comprehend. Scientists at the German Cancer Research Center have now developed an AI-based support system for skin cancer diagnostics that ...

Cancer DNA in the blood: an early warning system for recurrent tumors in children

Cell-free tumor DNA can be detected early in liquid biopsies

18-Mar-2022 - Neuroblastomas release DNA fragments into the blood and cerebrospinal fluid of patients. These genetic material can indicate a possible disease recurrence at an early stage. It also provides information about changes in certain cancer-driving genes. This is what scientists from the German ...

Remote medical image diagnosis

Startup provides app free of charge during corona crisis

06-Apr-2020 - The current crises caused by the fast spread of covid-19 is forcing clinics and its medical staff to take actions that otherwise would require months or years: Home office and the provision of mobile software solutions. mbits, a spin-off of the German Cancer Research Center (DKFZ), has ...

Using oxygen to make cancer visible

20-Feb-2020 - Scientists from the German Cancer Research Center have developed a new method that uses oxygen to identify brain tumors more effectively by magnetic resonance tomography (MRT). To do so, they rely on a metabolic feature of the tumor cells that they can make visible using a completely new imaging ...