Diagnostics

Putting β-glucan testing into everyday practice for fungal infections

Invasive fungal infections are notoriously hard to catch early, and even harder to rule out with confidence. At CHU Bordeaux, Dr Frédéric Gabriel has spent years refining how his lab uses…

News • Molecular imaging

Fever of unknown origin: PET/CT enhances diagnosis

PET/CT can add valuable information to aid the diagnosis of fever of unknown origin (FUO), directly influencing the clinical management in nearly 75% of patients, a new study finds.

News • Immunoassay limitations

Sickle cell trait could throw off diabetes test, study finds

A common diabetes test could miss the condition in people with sickle cell trait, new research suggests. Understanding this limitation of immunoassay testing could help guide protocols and policies.

News • Women's health

Endometriosis symptom patterns go beyond pain

Migraines, digestive problems, anxiety, and depression can be part of endometriosis. New research reinforces the idea that the disease extends far beyond its traditional gynecological manifestations.

News • Fluorescence lifetime imaging microscopy

New technique could aid targeted lung cancer treatment

Detecting genetic mutations associated with lung cancer via laboratory tests can be expensive and time-consuming, and use up valuable tissue from small biopsy samples. A new approach aims to fix this.

Article • A call for consistency at ECR 2026

The aorta is an organ now – and radiology needs to catch up

As the aorta gains recognition as a functioning organ rather than a simple blood conduit, the lack of standardised imaging protocols is becoming an increasingly pressing concern. At ECR 2026 in…

News • Late light-off response

13-second eye test shines light on recovery after severe brain injury

A simple bedside eye test may help predict recovery of consciousness in patients with severe brain injuries, according to new research.

Article • Digital pathology

From single-tumour to pan-cancer AI diagnostics

AI is transforming the way cancer is diagnosed and treated. Dr Yuri Tolkach shared his group's advances in developing AI-based tools for oncological pathology at the DPAI Europe congress.

News • BayesCNA

New blood analysis method to improve cancer care

Blood tests show promise for detecting and monitoring cancer. A new method makes it possible to analyse samples containing as little as 5% cancer DNA, compared with the 15–20% required today.

News • Dynamic chest radiography

Seven-second X-ray scan detects heart complication after ToF surgery

Researchers developed a simple, rapid, and low-dose X-ray technique to evaluate the severity of pulmonary valve regurgitation – a common complication after surgical repair of Tetralogy of Fallot.

Early Detection of Invasive Fungal Infections: The β-D-Glucan Test on the LIMUSAVE MT-7500

Invasive fungal infections are silent, fast-moving, and notoriously hard to catch in time. The FUJIFILM Wako β-D-Glucan Test on the LIMUSAVE MT-7500 gives clinical laboratories a quantitative, LAL-based tool to detect (1→3)-β-D-glucan in serum or plasma – enabling earlier diagnosis where it matters most.

News • dMMR prediction

AI helps analyse colorectal cancer samples

A new AI model enables more efficient analysis of tissue samples taken from colorectal cancer tumours. This can help shorten diagnosis times, reduce costs, and improve diagnostic accuracy.

News • TSPO PET study

Brain inflammation unlikely to explain long Covid symptoms

Persistent long Covid symptoms are often linked to brain inflammation. However, results from a new study point at a different explanantion for fatigue, cognitive impairment, anxiety, and depression.

News • Contrastive language image pretraining

AI system to interpret cardiac MRI scans with enhanced accuracy

A team of researchers has developed an AI system capable of interpreting some of the most complex heart scans in medicine, cardiac MRI, without the need for manually labeled training data.

Article • Opportunistic screening

AI tools extract hidden health insights from routine chest imaging

Artificial intelligence is enabling radiologists to extract valuable diagnostic information from routine chest imaging – identifying patients at risk for osteoporosis and cardiovascular disease without additional scans. At RSNA 2025, researchers presented two AI-powered tools that transform standard chest X-rays and CT scans into opportunistic screening devices.

News • Study shows challenges in primary care

Why diagnosing endometriosis often takes years

Endometriosis affects up to one in ten women and girls of reproductive age, but for many, the path to diagnosis is both long and complex. Now, two new studies explain the diagnostic challenges in primary care.

News • Quicker diagnosis approach

New biosensor for detecting active tuberculosis

A research team is leading the development of a sensor that paves the way for the rapid, selective and cost-effective detection of active tuberculosis infection.

News • Hybrid deep learning approach

"Double vision" AI system to detect lung cancer from CT scans

To improve lung cancer detection, researchers have developed a new AI system that employs a dual approach to analyse CT scans – seeing both detail and context at the same time.

News • Deep joint-learning proteomics model

New AI model detects multiple brain diseases from a single blood sample

Researchers have developed an AI model showing that it is possible to detect different neurodegenerative diseases - for example, Alzheimer’s and Lewy body disease - from a single blood sample.

Article • Advancing kidney disease investigation

Digital spatial profiling: new ways for diagnostic histopathology

Digital spatial profiling (DSP) is emerging as a powerful technology in helping specialists investigate complex kidney disease, according to a leading expert. Professor Renate Kain believes spatial profiling adds significantly to systems biology approaches that will transform diagnostic histopathology. However, she warns that the adoption and effective utilization of the technique is critically…

News • Between AI law and patient reality

Do patients have a right to understand health AI?

"Why did the computer conclude this?": Patients increasingly scrutinize the impact of AI on medical diagnostics. A new article explores the tension between transparency and legal frameworks.

News • Neurodegenerative diseases

New biomarker improves diagnosis of Parkinson's and LBD

A biomarker discovered in the cerebrospinal fluid could improve diagnosis of Parkinson's disease and dementia with Lewy bodies.

News • Affordable diagnostics

Detecting bacterial infection with simple breath test

Bacterial infections can be difficult to distinguish from viral infections and inflammation, but a simple breath test may change that. This could reduce unnecessary antibiotic prescriptions.

Redrawing contrast dose limits in MRI

At this year’s European Congress of Radiology (ECR) in Vienna, Bayer presented new data on a contrast agent that could transform MRI imaging: gadoquatrane, which requires up to 60% less gadolinium than previous standard macrocyclic preparations whilst maintaining the same diagnostic accuracy. Prof. Hubertus Pietsch, Head of MRI & CT Contrast Agent Research at Bayer and one of the key…

News • Liquid biopsy screening tool

AI metabolomics platform to advance pancreatic cancer early diagnosis

Pancreatic cancer remains a diagnostic challenge, due to unspecific early symptoms and lack of effective screening tools. A novel AI metabolomics platform could help overcome these issues.

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