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cfSort: New tool could improve liquid biopsy
A research team at UCLA has made an important advancement to address one of the major challenges in cell-free DNA (cfDNA) testing, also known as liquid biopsy.

A research team at UCLA has made an important advancement to address one of the major challenges in cell-free DNA (cfDNA) testing, also known as liquid biopsy.

New research shows how AI can be used to fuse images from clinical X-ray CT and MRI scans to allow a clearer and more clinically useful interpretation of the images.

A new PET tracer, 89Zr-DFO-girentuximab, can accurately detect a type of kidney cancer called clear cell renal cell carcinoma and differentiate it from other types of kidney tumors.

While it’s true that AI holds tremendous potential for improving the science and practice of psychotherapy, it remains a definitively high-stakes area. Stanford experts define the potential benefits and concerns of deploying the technology.

Researchers at Harvard Medical School developed a new tool that promises to improve the way pathologists see and evaluate a tumor by providing detailed clues about the cancer.

New research suggests that combining blood biomarkers with genomic information more accurately, cost-effectively predicts the risk of developing diseases.

A study led by the National Institutes of Health’s RECOVER Initiative and supported by NYU Langone Health provides an expanded working definition of long Covid.

A University of Arizona Health Sciences-led study found that more than 50% of people don't fully trust AI-powered medical advice, but many put faith in AI if it's monitored and guided by human touch.

Experts argue that shared decision policies between patients and their doctors have led to high rates of PSA testing and clear medical harm, with minimal benefit and inequity.

Scientists from the University of Edinburgh have found that the accuracy of detecting bowel cancer is increased to almost 100% by carrying out a common test twice rather than once.

An algorithm developed using artificial intelligence could soon be used by doctors to diagnose heart attacks with better speed and accuracy than ever before, according to new research.

Most AI techniques for rare disease diagnosis use anthropometric measurements of European origins, ignoring the genetic and morphological diversity of humans, a new study finds.

Lyme disease, the most common tick-transmitted bacterial infection in the world, is challenging to diagnose. Initial early-stage symptoms may include skin rash, fever, headache, fatigue, swollen lymph nodes, and/or body and joint aches. However, these symptoms are also associated with many other diseases and medical conditions.

Clinicians in an intensive care unit need to make complex decisions quickly and precisely, monitoring critically ill or unstable patients around the clock.

Researchers at the University of Barcelona have developed a new tool to assess the presence and severity of sarcopenia, using an ultrasound-based muscle quality scoring system.

A new ultrasound method that can measure the level of tension in human tissue for the first time - a key indicator of disease - has been developed by researchers from the University of Sheffield.

Researchers demonstrate a HoloLens AR system that enables accurate, flexible needle guidance for transperineal prostate interventions such as biopsy, focal laser ablation, and brachytherapy

Monitoring the proper blood supply to the brain could be used to prevent or even treat neurological diseases. A new technique called πNIRS aims to do just that.

A newly developed rapid test needs only a few seconds to reliably detect pathogens such as SARS-CoV-2. It is based on specially designed magnetic nanoparticles.

An international study shows that a new method can easily find multiple types of newly formed cancers at the same time – including cancer types that are difficult to detect with comparable methods.

99mTc-Sestamibi SPECT/CT can aid in the diagnosis of solid renal lesions, especially in cases where contrast enhanced CT findings are inconclusive, according to researchers from the Mallinckrodt Institute of Radiology at Washington University School of Medicine in St. Louis, Missouri.

With the rise of syndrome-style infections, co-infections and the current antimicrobial resistance challenges, the need for multiplexed diagnostics is now more important than ever.

To assess diffuse liver disease, MRI is currently the modality of choice. New developments in artificial intelligence (AI) could tip the scales in favour of CT imaging. At ECR 2022 in July, experts showed how AI technology enables CT to quantify liver fat as exquisitely as MRI.

Women with high-risk breast lesions (HRLs) and no family history of breast cancer or BRCA mutations are generally considered to be at moderate risk of developing breast cancer. Breast cancer screening guidelines suggest breast MRI be considered as a supplement to mammography. But is this expensive exam necessary?

Renal cell carcinoma is among the fifteen most common cancers worldwide. Dr Titus Brinker, from the German Cancer Research Center (DKFZ), looked at whether a convolutional neural network (CNN) can extract relevant image features from a typical H&E-stained slide to predict 5-year overall survival.