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Journal of the National Cancer Institute|January 1, 2019
Statistical Considerations for Planning Clinical Trials with Quantitative Imaging BiomarkersNancy A Obuchowski, P David Mozley, Dawn Matthews, et al.
BMC Medical Informatics and Decision Making|December 19, 2024
Improving event prediction using general practitioner clinical judgement in a digital risk stratification model: a pilot studyEmma Parry, Kamran Ahmed, Elizabeth Guest, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 3, 2014
The influence of biological and technical factors on quantitative analysis of amyloid PET: Points to consider and recommendations for controlling variability in longitudinal dataMark E Schmidt, Ping Chiao, Gregory Klein, et al.
BMJ Supportive & Palliative Care|July 25, 2023
Digital health and inpatient palliative care: a cohort-controlled studyBaldev Malkit Singh, Nisha Kumari-Dewat, Adam Ryder, et al.
Scientific Reports|June 10, 2021
Menopause impacts human brain structure, connectivity, energy metabolism, and amyloid-beta depositionLisa Mosconi, Valentina Berti, Jonathan Dyke, et al.
Neurology|June 26, 2020
Sex-driven modifiers of Alzheimer risk: A multimodality brain imaging studyAneela Rahman, Eva Schelbaum, Katherine Hoffman, et al.
Alzheimer'S Research & Therapy|March 9, 2022
Pilot study of repeated blood-brain barrier disruption in patients with mild Alzheimer's disease with an implantable ultrasound deviceStéphane Epelbaum, Ninon Burgos, Michael Canney, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|September 22, 2022
The RSNA QIBA Profile for Amyloid PET as an Imaging Biomarker for Cerebral Amyloid QuantificationAnne M Smith, Nancy A Obuchowski, Norman L Foster, et al.
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