With better methods needed for matching patients with depression with appropriate treatments, researchers at Stanford University, reporting today in Nature Medicine, say they have identified six biological subtypes (biotypes) of depression. The team also identified existing treatments that could be more likely, or less likely, to be effective against three…

A new real-time imaging technique that illuminates tumor cells to differentiate them from surrounding healthy cells has the potential to improve cancer treatment by allowing doctors to see, during surgery, if they have removed all the cancer cells present in the patient. Developed at the Wellcome/EPSRC Centre for Interventional and…

Large-scale changes in functional connectivity in the brain occur in patients with treatment-resistant depression administered targeted magnetic stimulation, which researchers believe could help predict treatment response. Repetitive transcranial magnetic stimulation (rTMS) is used to treat patients with depression who do not respond to antidepressants, which is nearly 40% patients with…

Choosing the best treatments for cancer patients may rely on both medical images as well as genetic and cellular analysis, according to researchers from the Translational Genomics Research Institute (TGen), an affiliate of City of Hope, and their collaborators. This combination of tests could help surgeons best decide how much…

A study led by the University of East Anglia (UEA) and Queen Mary University of London in the U.K. shows that the use of magnetic resonance imaging (MRI) to measure pressure in blood vessels around the heart is a good predictor of heart failure risk. The researchers report that higher…

A cheaper, safer, ultra-low energy magnetic resonance imaging (MRI) scanner has been developed that has the potential to become a powerful point-of-care tool, especially in low-to middle-income countries. The technology has the potential to offer accessible and affordable screening and could one day be used for diagnostics, risk assessment and…

A team of French researchers has found that the use of magnetic resonance imaging (MRI) and lumbar puncture (LP) may not always be necessary as a diagnostic tool to help doctors manage serious neurotoxicity related to CAR T-cell therapy. The study, published today in the journal Blood Advances, further validated…

Results from a study led by Yale School of Medicine show that functional magnetic resonance imaging (fMRI) scans could help diagnose attention-deficit/hyperactivity disorder (ADHD) in children more effectively than current methods. Statistics suggest that ADHD is one of the most common neurodevelopmental disorders, impacting around six million under 18-year olds…

Using a deep learning tool can help improve accuracy and reduce false positives during magnetic resonance imaging (MRI) scans to check for breast cancer, shows research led by New York University. The deep learning algorithm was able to match the performance of a panel of radiologists with experience of diagnosing…

A computational model that predicts brain age using a large collection of FDG-PET (fluorodeoxyglucose positron emission tomography) and structural MRI (magnetic resonance imaging) imaging data has been developed by Mayo Clinic scientists. The deep learning-based model tests the relationship between brain age gaps in various forms of dementia, including mild…

Annual magnetic resonance imaging (MRI) screening from 30 years of age may reduce breast cancer mortality by more than 50% in women with pathogenic mutations in the ATM, CHEK2, and PALB2 genes, suggest data from a modeling study led by University of Washington researchers. Currently, the National Comprehensive Cancer Network recommends…

Paul McCracken, PhDVP, Global Head of Medical Imaging, ICON Debbie MarshallProgram Manager, Clinical OperationsICON Christina GonzalezProject Manager, PathologyICON Central Laboratories Digital Solutions to Alleviate NASH Clinical Trial Challenges Broadcast Date: January 18, 2022Time: 8:00 am PT, 11:00 am ET, 17:00 CET REGISTER NOW The prevalence of NASH in global populations continues to…

Scientists at St. Jude Children’s Research Hospital have demonstrated that cell-free DNA (cfDNA) from cerebrospinal fluid (CSF) can be used to detect measurable residual disease (MRD) in children treated for medulloblastoma. The researchers developed a test to detect MRD, and thus the risk of relapse, earlier than a recurrent tumor…

A new AI image tool that selects high-risk women for magnetic resonance imaging (MRI) after negative mammography detects many missed breast cancers, interim findings from a clinical trial suggest. The AI-based system could help offset the extra costs of MRI that have prevented it from being included in national screening…

As hospitals face increasing budgetary and workforce pressures, increasing health systems are turning to clinical decision support tool providers to reduce the workload. We examine five upcoming players using artificial intelligence (AI) to streamline patient care. During the COVID-19 pandemic, healthcare systems around the world were stretched to the limit,…