Caterina Mainero, MD, PhD, director of the Multiple Sclerosis Imaging Laboratory in the Martinos Center for Biomedical Imaging, discusses the lab’s research into the mechanisms of the disease and new approaches to diagnosis and monitoring.
In recognition of Brain Awareness Week (March 13-19) — a ‘global campaign to foster public enthusiasm and support for brain science’ — the Mass General Research Institute highlighted three brain imaging studies from Radiology researchers.
Center for Systems Biology researcher Matthew Leming, PhD and colleagues have reported a deep learning method for detection of Alzheimer’s disease based on routinely collected clinical brain images. The tool may help clinicians identify patients who would benefit from treatment.
The Martinos Center’s Caterina Mainero, MD, PhD and colleagues reviewed the interplay of fibrinogen and coagulation factors with neuroinflammation in multiple sclerosis. They conclude that basic knowledge of the coagulation pathways could be translated into new treatment approaches and novel diagnostic and prognostic biomarkers.
A study by the Martinos Center’s Leo Cheng, PhD and colleagues suggests that metabolomic changes detected with an advanced nuclear magnetic resonance (NMR) spectroscopy technique can differentiate between patients with benign prostate biopsies who will or will not receive a prostate cancer diagnosis over the following years.
To celebrate Valentines Day, the Mass General Research Institute explored five recent studies from the Department of Radiology where researchers sought new ways to help reduce the incidence of a broken heart (and to ensure a healthy cardiovascular system).
Marc Succi, MD, a physician-investigator in the Department of Radiology and Director of the MESH Incubator at Massachusetts General Hospital, discusses a recent study, “Trends in oncological imaging during the COVID-19 pandemic through the vaccination era.”
The Mass General Research Institute chats with Efren Flores, MD, a physician-scientist in the Mass General Department of Radiology, about the importance of having research information available in different languages to increase access to scientific information and reduce barriers.
Michael Lu, MD, MPH, Vineet Raghu, PhD and colleagues have developed a deep learning model that can predict the 10-year risk of death from a heart attack or stroke using a single chest X-ray.
Jyrki Ahveninen, PhD and colleagues believe sparse brain activity, where only a few neurons in a population fire at a given time, might contribute to the fingerprint patterns of activity evident in multi-voxel pattern analysis results from functional MRI — and give rise to perceptual, emotional and cognitive functions.