Search for: "Cancer Research" - 250 articles found

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Article • On a shoestring budget

Bridging the resource gap for pathology in developing countries

Delivering a pathology service in resource-constrained locations and developing countries remains a challenge. Cost is a significant barrier, as is the availability of equipment, trained staff and technical and IT support can also hinder a desire from clinicians and pathologists to give their patients a high level of service to help their diagnosis and recovery. The subject was tackled in a…

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Article • Utilizing new strengths, fixing old weaknesses

Ultrasound update for organ imaging

Has organ imaging using ultrasound arrived at the same level as cross-sectional imaging? At the annual conference of the German Society for Internal Medicine (DGIM), PD Dr Corinna Trenker presented new technological developments and their diagnostic significance. Despite numerous innovations such as multiparametric protocols and AI support, she made it clear that the human factor remains one of…

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Article • Risk stratification initiatives in Europe and UK

The future of breast imaging: a date with density

About 60% women in Europe enrolled in a national breast cancer screening programme who have a screening mammogram can feel reasonably confident that radiologists will be able to diagnose early-stage breast cancer. But what about the 30% categorised as having dense breasts, and the 10% who have extremely dense breasts? At the 2025 SBI (Society of Breast Imaging) Breast Imaging Symposium held in…

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Article • Reshaping GI cancer care

Pathologists at the heart of precision oncology

Biomarker testing is ushering in a novel era of therapy personalisation for gastroesophageal and colorectal cancers, according to experts presenting at the 37th European Congress of Pathology in Vienna this September. During a session on state-of-the-art in gastrointestinal biomarkers, speakers outlined how targeted therapies and immunotherapies are transforming treatment options – but…

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Article • Management of escalating imaging workload

Breast cancer screening: growing with the challenge

Rising attendance in mammography screening programmes attest to the fact that women understand the importance of early breast cancer detection. However, the resulting workload increase is a growing challenge for many women’s imaging centres. At the 2025 SBI (Society of Breast Imaging) Symposium, breast imaging specialist Stamatia V. Destounis, MD, discussed her practice’s coping strategies.

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Article • Personalizing stroke care

Advancing genomic medicine from promise to practice with digital technology

Stroke patients in four NHS hospitals are now receiving genetic tests that determine whether a commonly prescribed drug will work for them – a breakthrough that could transform treatment for millions. Digital approaches are spearheading a drive to help make genomic medicine part of everyday care. The role of digital tools was a central theme at the HETT (Healthcare Excellence Through…

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Interview • An interview with the President of JFR 2025

What the clinic does not say

This year, the Journées Francophones de Radiologie (JFR) will carry a clinical ambition as simple as it is essential: to shine a spotlight on those who are often overlooked. Under the presidency of Professor Mathieu Lederlin, thoracic radiologist at Rennes University Hospital, vulnerable patients will be at the heart of the annual meeting of the French Society of Radiology that will unfold…

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Article • AI-powered prediction

Machine learning identifies cardiotoxicity risk in breast cancer patients

Researchers have developed a machine learning algorithm that uses cardiac MRI images to help identify breast cancer patients who may be at risk of cardiotoxicity during cancer treatment. The research, led by cardiologist Dr Paaladinesh Thavendiranathan from Toronto General Hospital University Health Network, was presented at the European Society of Cardiology's Cardio-Oncology Conference in…

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Article • From H&E to multiplex

Self-learning AI: a boost for digital pathology

Self-learning artificial intelligence approaches are offering a number of advantages for digital pathology when compared to established AI options. The benefits, which range from greater speed and capacitive flexibility to ‘wholly interpretable’ analyses, were outlined at the Digital Pathology and AI Congress in London.

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Article • Societal and ethical impacts explored at ECR 2025

How AI is transforming radiology – and radiologists

Patient communication facilitated by chatbots, image quality optimized by machine learning: Artificial intelligence (AI) is entering radiology at breakneck speed, transforming the specialty almost beyond recognition. So, how will the future of diagnostic imaging under AI look like, and which role will humans still play in it? At the ECR congress in Vienna, experts explored the societal and…

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Article • Sustainable workflows

Designing the laboratory of the future

Laboratories across Europe are embracing sustainability through paperless workflows and automation. In this guest article, Gavin Hirst, Clinical Flow Cytometry Account Manager at Beckman Coulter Life Sciences, shares his thoughts on how digital transformation and eco-friendly practices not only advance climate goals but enhance efficiency, allowing scientists to focus on critical research rather…

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Article • Medical Taiwan 2025

Accelerating the journey of AI into clinical practice

Medical Taiwan has long been a showcase for cutting-edge healthcare solutions, but this year marked a pivotal moment. Visitors of the latest edition of the medical, health and care expo in Taipei witnessed a particularly noticeable step forward: the definitive transition of medical AI from promising research to actual clinical practice. Organized by the Taiwan External Trade Development Council…

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Heather Jacene, MD

Championing the future of nuclear medicine

Heather Jacene, MD, assistant chief of Nuclear Medicine and Molecular Imaging at Brigham and Women’s Hospital, clinical director of Nuclear Medicine at Dana-Farber Cancer Institute, and associate professor of Radiology at Harvard Medical School in Boston, Massachusetts, has been named president-elect of the Society of Nuclear Medicine and Molecular Imaging (SNMMI).

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Article • Insights and perspectives presented at ECR 2025

Nuclear medicine: Innovations, challenges, and new horizons

Nuclear medicine (NM), one of the more mature technologies of diagnostic imaging, has been experiencing a rebirth in innovation and interest. The increasing prevalence of cancer,, an aging global population, and greater longevity, has created a robust demand for nuclear medicine. At ECR in Vienna, presenters explored market perspectives, but also safety and sustainability challenges.

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Article • Digital pathology discussion panel

The AI tools pathologists want and need

The evolving role of AI tools in digital pathology was explored at an open discussion during the annual Digital Pathology and AI Congress in London with a high-level panel of practitioners looking at current and future technology options. The panel of pathologists, scientists and academics from Europe and the USA assessed the tools they currently use and are available to them, and those they…

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Article • Freezing cancer cells

Cryoablation: A treatment option for low-risk early-stage breast cancer

Cryoablation, the destruction of malignant cancer cells by freezing them, is increasingly becoming an alternative to having conventional lumpectomy for patients diagnosed with early-stage, localised, low-risk breast cancer. Findings from numerous recent clinical trials show that cancer recurrence rates are very low and are comparable to breast conservation surgery (BCS).

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Article • Promising, but in need of further validation

Implementation challenges of blood biomarkers for Alzheimer’s disease

Blood-based biomarker (BBB) tests may represent the best weapon to combat the soaring rates of Alzheimer’s disease (AD) throughout the world. Existing clinically validated tests are currently deployed to facilitate diagnosis, to monitor disease and effectiveness of treatments, to quantify progression, and to determine if a patient is appropriate for treatment or participation in a clinical…

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Article • Imaging modality comparison presented at RSNA 2024

Photon-counting CT advances identification of pancreatic cystic lesions

Pancreatic cystic lesions – indicating an increased risk of pancreatic cancer – are an occasional incidental finding in routine computed tomography (CT) abdominal imaging. New research suggests that the superior image quality of photon-counting CT (PCCT) can help detect more of these lesions. At the RSNA annual meeting, an expert outlined the benefits and limitations of the imaging technique…

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Article • Point-of-care diagnostics

Improving women’s health in remote regions with digital pathology

Point-of-care diagnostics based on a combination of mobile-sized scanners and artificial intelligence (AI) are helping save the lives of women in low-resource settings. The AI technique is being applied in Kenya and Tanzania to deliver screening for cervical cancer – now the leading cause of cancer-related deaths in women in that region and a bigger cause of death than childbirth.

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Article • Keynote on integrated diagnostics

Predicting – and shaping – the future of modern pathology

Complex diseases could require complex biomarkers for accurate diagnosis in the years ahead, according to a leading pathologist. In a keynote address to the 36th European Congress of Pathology in Florence, Italy, Professor Manuel Salto-Tellez highlighted this as one of the major future challenges for the discipline. However, he also believes pathologists will sit at the core of modern medicine.

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Article • Artificial intelligence meets internal medicine

Medical AI: Enter ‘dea ex machina’

In the world of theatre, the ‘deus ex machina’, the god from the machine, is a dramaturgical trick to resolve seemingly unsolvable conflicts. Can artificial intelligence (AI) also be such a universal problem solver for internal medicine? At the Annual Congress of the German Society of Internal Medicine (DGIM), Dr Isabella Wiest explored the potential – and limitations – of AI helpers.

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