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Radiogenomic explainable AI with neural ordinary differential equation for identifying post-SRS brain metastasis radionecrosis.
Med Phys
January 2025
Deparment of Radiation Oncology, Duke University, Durham, North Carolina, USA.
Background: Stereotactic radiosurgery (SRS) is widely used for managing brain metastases (BMs), but an adverse effect, radionecrosis, complicates post-SRS management. Differentiating radionecrosis from tumor recurrence non-invasively remains a major clinical challenge, as conventional imaging techniques often necessitate surgical biopsy for accurate diagnosis. Machine learning and deep learning models have shown potential in distinguishing radionecrosis from tumor recurrence.
View Article and Find Full Text PDFUser-Centered Design of Neuroprosthetics: Advancements and Limitations.
CNS Neurol Disord Drug Targets
January 2025
Biosciences and Bioengineering PhD Program, American University of Sharjah, UAE.
Neurological conditions resulting from severe spinal cord injuries, brain injuries, and other traumatic incidents often lead to the loss of essential bodily functions, including sensory and motor capabilities. Traditional prosthetic devices, though standard, have limitations in delivering the required dexterity and functionality. The advent of neuroprosthetics marks a paradigm shift, aiming to bridge the gap between prosthetic devices and the human nervous system.
View Article and Find Full Text PDFExploring adult glioma through MRI: A review of publicly available datasets to guide efficient image analysis.
Neurooncol Adv
January 2025
Imaging AI Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg.
Background: Publicly available data are essential for the progress of medical image analysis, in particular for crafting machine learning models. Glioma is the most common group of primary brain tumors, and magnetic resonance imaging (MRI) is a widely used modality in their diagnosis and treatment. However, the availability and quality of public datasets for glioma MRI are not well known.
View Article and Find Full Text PDFA rare case of double pituitary prolactinomas: the diagnostic application of intraoperative ultrasonography and DNA methylation markers.
Arch Endocrinol Metab
January 2025
Henry Ford Health Hermelin Brain Tumor Center Department of Neurosurgery DetroitMI USA Henry Ford Health, Omics Laboratory, Hermelin Brain Tumor Center, Department of Neurosurgery, Detroit, MI, USA.
The aim of this study is to describe the management and evolution of a patient with the rare condition of double lactotroph tumors and assess the role of intraoperative ultrasonography (IOUS) for their detection and methylation-based liquid biopsy for their diagnosis and monitoring. A 29-year-old woman diagnosed with double lactotroph tumors through hormonal and MRI workup underwent surgical resection due to cabergoline intolerance. To detect a tumor missing through visual inspection, IOUS was performed.
View Article and Find Full Text PDFThe promise of community-driven preprints in ecology and evolution.
Proc Biol Sci
January 2025
Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales 2052, Australia.
Publishing preprints is quickly becoming commonplace in ecology and evolutionary biology. Preprints can facilitate the rapid sharing of scientific knowledge establishing precedence and enabling feedback from the research community before peer review. Yet, significant barriers to preprint use exist, including language barriers, a lack of understanding about the benefits of preprints and a lack of diversity in the types of research outputs accepted (e.
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