Technological advances such as machine learning and 3D visualization could not only help make medicine more efficient and precise, but also benefit patients through more personalized and empathetic care. This newsletter explores promising applications in cardiology and oncology. Coverage also highlights how legislation is struggling to keep up with the pace of innovation, which improves safety, but can also stifle progression, for example in robotic surgery. Enjoy reading!
Article • Diagnostic and care support
Atrial fibrillation: digital technology to the rescue?
Machine learning (ML) for personalised care, large language models for empathy training of cardiologists, wearable sensor data for better screening, and more: Digital technologies hold great potential to improve diagnosis and treatment of patients ...
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Sponsored • Patient positioningRelief for radiographers: The Get Up holding system for back-friendly repositioningDiscover in only one minute, how the Get Up holding system sustainably assists both patients and medical staff. |
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Article • Precision approach through the eye socketOrbital gateway to surgical removal of brain tumoursUsing a keyhole surgery approach, surgeons have found a new way to access previously difficult-to-reach brain regions with faster recovery times. With the help of 3D modelling technology, the neurosurgeons succeeded in removing complex tumours from ... |
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Article • New technologies, old limitations?Robot-assisted surgery in Europe: high tech between scalpel and legislationThe use of surgical robots offers a wide range of possibilities, but in Europe the technology is often unable to reach its full potential. Dr. med. Christoph Wandhöfer explains why. |
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News • Stratification of TSCC immunotypesTongue cancer: Immune profiling for improved outcomesTongue squamous cell carcinoma, the most common type of oral cancer, is a challenging target for immunotherapies. Researchers now identified five immunotypes to better predict treatment response. |
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News • Responsible deployment of medical AIStrategies to prevent AI model data shifts in hospitalsIf data used to train AI models for medical applications differs from the real-world data, it could lead to patient harm. A new study found proactive strategies to mitigate such data shifts. |
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News • Fluorescent probeNew visualisation tool targets breast cancer disseminationIn a new study, researchers have developed a new fluorescent probe to visualise signaling dynamics in moving cancer cells, to uncover a new therapeutic possibility for limiting breast cancer spread. |
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News • Study confirms value of early detectionBreast cancer: better outcomes through routine screeningMany women are only diagnosed with breast cancer after they present to a doctor with symptoms. A new study points out that early detection through screening leads to improved outcomes. |
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News • Genetic signature mappingDiagnosing Parkinson’s from a blood sampleIn a world first, researchers have identified a set of biomarkers that could someday make it easy to spot Parkinson's disease in a patient’s blood sample. |
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News • NHS rolloutLiquid biopsy: new ‘blood test-first’ approach for lung cancerA new ‘liquid biopsy’ test can help fast-track lung cancer patients to receive targeted therapy up to two weeks earlier, while helping avoid further tests and treatments including chemotherapy. |
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News • Machine learning analysisCancer genomics: new ML tool weeds out false positivesA major challenge in cancer genomics is separating meaningful mutations from false positives. A new tool uses machine learning to significantly reduce these errors. |
Event
| 25.06.2025 - 28.06.2025 | Barcelona, Spain |
| 21st European Congress on Digital Pathology 2025 | ECDP2025 | |
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