A new method makes high-resolution imaging more accessible
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#HighResolutionImaging #NewTechnology #InnovationInImaging #AccessibleScience #MedicalImaging
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#HighResolutionImaging #NewTechnology #InnovationInImaging #AccessibleScience #MedicalImaging
MIT News
A new method makes high-resolution imaging more accessible
MIT researchers devised a way to expand tissue 20-fold in a single step. Their simple, inexpensive method could pave the way for nearly any biology lab to perform nanoscale imaging.
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Study examines how different imaging criteria can be used to assess brain tumor responses in patients with melanoma: Modified imaging approach (mRECIST) and volumetric measurements (3D size analysis) were more accurate in predicting survival compared to other methods
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#BrainTumorResearch #MelanomaAwareness #MedicalImaging #SurvivalRates #OncologyInnovation
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#BrainTumorResearch #MelanomaAwareness #MedicalImaging #SurvivalRates #OncologyInnovation
EurekAlert!
Research spotlight: Improving predictions about brain cancer outcomes with the right imaging criteria
Raymond Y. Huang, MD, Ph.D., of the Department of Radiology at Brigham and Women’s Hospital, is the corresponding author of a paper published in the Journal of Clinical Oncology, “Comparative Analysis of Intracranial Response Assessment Criteria…
Science News
Bringing optical color to ultrasound: « The method holds promise for enhancing breast tumor imaging, monitoring of nerve damage caused by diabetes, and brain imaging, among other applications. » Read Full Article #opticalcolorultrasound #breasttumorimaging…
🔬 Caltech and USC scientists have unveiled a new imaging technique, RUS-PAT, combining ultrasound and photoacoustic imaging for rapid 3D color images of soft tissues and blood vessel function.
🔬 This innovation aims to improve breast tumor imaging, monitor diabetic nerve damage, and aid brain imaging by visualizing both structure and blood flow simultaneously.
🔬 The RUS-PAT system scans up to 4 centimeters deep in under one minute and has been demonstrated on human volunteers, marking an early stage of development.
#MedicalImaging #HealthTech #Innovation
🔬 This innovation aims to improve breast tumor imaging, monitor diabetic nerve damage, and aid brain imaging by visualizing both structure and blood flow simultaneously.
🔬 The RUS-PAT system scans up to 4 centimeters deep in under one minute and has been demonstrated on human volunteers, marking an early stage of development.
#MedicalImaging #HealthTech #Innovation
Deep learning system fuses MRI and SPECT brain scans, hits 99% accuracy classifying tumors using a Vision Transformer
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#DeepLearning #MedicalImaging #BrainTumorDetection
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#DeepLearning #MedicalImaging #BrainTumorDetection
Science News
A new AI model can screen for 15 conditions, including hypertension, lupus, and glaucoma, using routine retinal fundus photographs. Achieving a 0.997 ROC AUC on a 20,000-image dataset, the non-invasive tool enables early detection of systemic diseases during…
💡 Developed a comprehensive AI framework using CAFormer B36 architecture for simultaneous risk stratification of 15 distinct pathological conditions from retinal fundus images.
📈 Achieved strong internal performance with ROC AUC of 0.9524–0.9971 and F1 scores of 0.8968–0.9649 on an image-level test set, including rare conditions with <100 training examples.
📉 Exploratory single-site evaluation on 68 real-world cases showed 64.7% overall accuracy, highlighting challenges in real-world translation and the gap before clinical deployment.
#AI #MedicalImaging #Healthcare
📈 Achieved strong internal performance with ROC AUC of 0.9524–0.9971 and F1 scores of 0.8968–0.9649 on an image-level test set, including rare conditions with <100 training examples.
📉 Exploratory single-site evaluation on 68 real-world cases showed 64.7% overall accuracy, highlighting challenges in real-world translation and the gap before clinical deployment.
#AI #MedicalImaging #Healthcare