Saturday, June 25, 2022

Multimodal deep learning for Alzheimer’s disease dementia assessment

Study populationThis study was exempted from local institutional review board approval, as all neuroimaging and clinical data were obtained in deidentified format upon request from external study centers, who ensured compliance with ethical guidelines...

A predictive model using the mesoscopic architecture of the living brain to detect Alzheimer’s...

Department of Surgery and Cancer, Imperial College London, London, UKMarianna Inglese, Kristofer Linton-Reid, Matthew Grech-Sollars, William R. Crum, Haonan Lu & Eric O. AboagyeDepartment of Nuclear Medicine, Imperial College NHS Trust, London, UKNeva Patel & Zarni WinDepartment of Brain Sciences, Imperial College...

Updates From Michael Weiner, MD Principal Investigator of the UCSF Brain Health Registry

Although the COVID-19 pandemic has profoundly disrupted many research studies, it has also accelerated development and use of remote assessment tools for cognition. The UCSF Brain Health Registry (BHR), an...

Machine learning for comprehensive prediction of high risk for Alzheimer’s disease based on chromatic...

Wimo, A. et al. The worldwide economic impact of dementia 2010. Alzheimers Dement. 9, 1-11.e3 (2013).PubMed  Article  ...

CDiP technology for reverse engineering of sporadic Alzheimer’s disease

Kamboh MI. Genomics and Functional Genomics of Alzheimer’s Disease. Neurotherapeutics. 2021. https://doi.org/10.1007/S13311-021-01152-0Article  PubMed  PubMed Central  ...

Deficits in spontaneous and stimulus-dependent retrieval as an early sign of abnormal aging

Prince, J. M. et al. World Alzheimer Report 2015: The Global Impact of Dementia | Alzheimer’s Disease International. World Alzheimer’s Report. https://www.alz.co.uk/research/worldalzheimerreport2015summary.pdf (2015). Accessed 10 Dec 2021.Morris, J. C. Early-stage and preclinical Alzheimer disease....

Zhen Jane Wang, MD Accepts the Role of Section Chief, Abdominal Imaging and Ultrasound

The UC San Francisco Department of Radiology and Biomedical Imaging is pleased to announce that Zhen Jane Wang, MD professor in the UCSF Department of Radiology & Biomedical Imaging, has...

Neuroimaging and cognitive correlates of retinal Optical Coherence Tomography (OCT) measures at late middle...

SampleThe convenient sample used for this study comprised of co-twins with and without type 2 diabetes (T2D) derived from the Australian Twin Registry as part of a parent study aimed at understanding the impact...

New study shows how having had COVID-19 may negatively impact your performance at work...

Individuals who contract COVID-19 often experience memory, attention, and concentration problems, even after recovering from the initial illness. A new study from the University of Waterloo shows individuals who had contracted COVID-19 reported significantly...

COBRA Community Connects Nuclear Imaging Investigators in the Bay Area

The Bay Area Community Of Bay area RAdionuclide imagers (COBRA) meeting returned this year and was hosted at UC Davis on May 25, 2022. COBRA, originally conceived in 2006 by the late Bruce Hasegawa, PhD - ...
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Congratulations UCSF Residency Class of 2022!

The UC San Francisco Department of Radiology and Biomedical Imaging would like to thank our outstanding radiology residents for their dedication,...

Can we save more lives if we let resistant bacteria live? — ScienceDaily

Antibiotic resistance is a ticking bomb under public health. WHO predicts that in 2050 more people will die from infections than from cancer --...

New insights on infant word learning — ScienceDaily

A lot is unknown about how infants begin to connect names with objects, a critical skill for later language development. A new study by...