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New machine learning model uses MRI scans to predict psychosis onset
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New machine learning model uses MRI scans to predict psychosis onset

Reviewed by Lily Ramsey, LLMIn a recent study published in Molecular Psychiatry, researchers performed structural-type magnetic resonance imaging (sMRI) to develop a machine learning classifier and distinguish neuroanatomical patterns between healthy controls (HCs) and those developing a psychotic disease (CHR-PS+). Study: Using brain structural neuroimaging measures to predict psychosis onset for individuals at clinical high-risk....

MRI scans improve prostate cancer diagnosis in screening trial
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MRI scans improve prostate cancer diagnosis in screening trial

by University College London pet scanCredit: CC0 Public DomainThe REIMAGINE study, published today in BMJ Oncology, is the first study to use MRI scans with prostate specific antigen (PSA) density to assess the need for further standard NHS tests. Of the 29 participants found to have serious prostate cancer, 15 had a ‘low’ PSA score...

Faster brain imaging technique seems to overcome limitations of current MRI scans
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Faster brain imaging technique seems to overcome limitations of current MRI scans

By Brittany Trang Oct. 13, 2022 In the new study, scientists imaged brains of sedated mice as their whisker pads were stimulated. COURTESY JANG-YEON Research often proceeds in a logical progression, new studies building upon a detailed understanding of the underlying processes revealed by earlier work. But a new brain imaging technique that can directly...

Cutting-edge 4D flow MRI scans could revolutionize blood flow assessment in the heart
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Cutting-edge 4D flow MRI scans could revolutionize blood flow assessment in the heart

by  University of East Anglia Peak velocity measurements with Pulse-wave Transthoracic Echocardiography (Left) and 4D flow CMR using automated peak velocity tracking (Right). Left Image: Doppler echocardiography used to interpret E-wave and A-wave velocities readings. Right Image: Illustration of the semi-automated valve tracking process performed using well-established techniques (top-left). Trans-mitral 3D streamlines are generated by the...

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Computer mapping of brain connections may reduce the number of required MRI scans

University of Saskatchewan (USask) PhD candidate Josh Neudorf and his research team is using innovative computer technology to map brain function. The research team hopes the computer model of brain connectivity may be able to save the health care system and research centres time and money by decreasing the number of necessary patient brain scans.  “The brain...