by University of Oxford Credit: Sora Shimazaki from PexelsResearch presented at The Society for Reproductive Investigation Meeting summarized preliminary findings from patients with known or suspected endometriosis who were imaged with a SPECT-CT camera and subsequently underwent planned laparoscopic surgery, a key-hole surgical procedure to establish the presence, absence and location of endometriotic lesions. The...
Tag: <span>Diagnostic</span>
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New research identifies high rates and common causes of diagnostic errors in hospitals across the nation
by Brigham and Women’s Hospital Credit: Unsplash/CC0 Public DomainA new study from researchers from Brigham and Women’s Hospital, in collaboration with researchers at the University of California San Francisco, has shed light on the rate and impact of diagnostic errors in hospital settings. In an analysis of electronic health records from 29 hospitals across the country...
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Improving melanoma diagnostic tools
by QIMR Berghofer Medical Research Institute Age-standardized melanoma incidence from 1982 through 2018 in the U.S. White, Queensland, and Scotland populations. Joinpoint regression models for in situ and invasive melanoma: A) Queensland, B) United States (U.S.) White, C) Scotland populations, and D) in situ to invasive melanoma incidence rate ratios. ASR = age-standardized rate (U.S....
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Major step forward in development of diagnostic blood test for
JANUARY 17, 2022 by University of Sussex Figure 1. Experimental pipeline. sEVs from GB patients and healthy volunteers’ blood samples were isolated through UC. The proteomic content of the sEVs were deciphered using mass spectrometry. Figure was created using BioRender.com. Credit: DOI: 10.3390/biomedicines10010125 Researchers at the University of Sussex are one step further to developing a...
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Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation
Medical dialogue systems may converse with patients and make a diagnosis automatically. Conventional dialogue generation models cannot be directly applied to such scenarios because of the lack of medical knowledge. A recent study addresses the lack of suitable models in this domain and introduces an end-to-end dialogue system for the medical dialogue generation. Image credit: pxfuel.com,...
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Diagnostic, therapeutic advance for rare neurodegenerative disorder
by Lynda De Widt, Mayo Clinic Mayo Clinic researchers, along with national and global collaborators, have developed a potential test for Machado-Joseph disease, or spinocerebellar ataxia type 3 (SCA3)—a disease that has no cure. They also have clarified the role of a gene target associated with the disease. The inherited disease is linked to a mutation in...
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Pot of gold engineered to help with early disease detection
UNIVERSITY OF QUEENSLAND University of Queensland researchers have developed biosensors that use nanoengineered porous gold which more effectively detect early signs of disease, potentially improving patient outcomes. Most diagnostic methods use costly materials and are time-consuming and expensive to run, but PhD candidate Mostafa Masud and research supervisors Professor Yusuke Yamauchi and Dr MD Shahriar...
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Rise of TB
‘The Biggest Monster’ Is Spreading. And It’s Not the Coronavirus. Tuberculosis kills 1.5 million people each year. Lockdowns and supply-chain disruptions threaten progress against the disease as well as H.I.V. and malaria. It begins with a mild fever and malaise, followed by a painful cough and shortness of breath. The infection prospers in crowds, spreading...
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Study pinpoints women who benefit less from 3D mammograms
Digital breast tomosynthesis improves cancer detection and reduces recalls, but women with extremely dense breasts don’t fully realize that advantage. UNIVERSITY OF WASHINGTON HEALTH SCIENCES/UW MEDICINE A RADIOLOGY TECHNICIAN HELPS PREPARE A PATIENT FOR A SCREENING MAMMOGRAPHY AT UW MEDICAL CENTER-ROOSEVELT IN SEATTLE, WASHINGTON. view more CREDIT: UW MEDICINE A new comparison of two breast-screening...
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New system uses X-ray images of patients’ lungs to diagnose COVID-19
Reviewed by James Ives, M.Psych. (Editor) Researchers from the Department of Computer Architecture and Technology at the University of Seville’s School of Computer Engineering (ETSII) are working on a system that uses X-ray images of patients’ lungs to help diagnose COVID-19. This system uses deep learning to train a neural network model that can distinguish...