Michael Donohue, PhD
Biography
Dr. Donohue applies novel statistical methods to data from natural history studies and clinical trials to better understand the multivariate course of markers of Alzheimer’s progression, and design innovative clinical trials to prevent or slow the progression of disease. He has studied the risk of cognitive decline associated with elevated brain amyloid in cognitively normal individuals; and helped design the first intervention in asymptomatic Alzheimer’s, the Anti-Amyloid Treatment for Asymptomatic Alzheimer’s (the A4 Study; in collaboration with Eli Lilly), and its primary outcome measure, the Preclinical Alzheimer Cognitive Composite. He has been awarded grants to develop innovative statistical approaches for Alzheimer’s from the National Institute on Aging; the Alzheimer’s Association, Michael J. Fox Foundation, and W. Garfield Weston Foundation; and the Clinical and Translation Research Institute of the University of California, San Diego
Publications
Serratus anterior plane versus paravertebral nerve blocks for postoperative analgesia after non-mastectomy breast surgery: a randomized controlled non-inferiority trial Reg Anesth Pain Med. 2021 Sep; 46(9):773-778.
Findings of Efficacy, Safety, and Biomarker Outcomes of Atabecestat in Preclinical Alzheimer Disease: A Truncated Randomized Phase 2b/3 Clinical Trial JAMA Neurol. 2021 Mar 01; 78(3):293-301.
Predicting amyloid risk by machine learning algorithms based on the A4 screen data: Application to the Japanese Trial-Ready Cohort study Alzheimers Dement (N Y). 2021; 7(1):e12135.
Feasibility study for detection of retinal amyloid in clinical trials: The Anti-Amyloid Treatment in Asymptomatic Alzheimer’s Disease (A4) trial Alzheimers Dement (Amst). 2021; 13(1):e12199.
Time between milestone events in the Alzheimer’s disease amyloid cascade Neuroimage. 2021 02 15; 227:117676.
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