Hierarchically structured ZnO nanomaterials with flower-sheet-particle morphologies were synthesized via a supercritical assisted solvothermal process free from any other auxiliary chemicals.
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Drug Development.
Alzheimers Dement
December 2024
EQT Life Sciences Partners, Amsterdam, 1071 DV Amsterdam, Netherlands.
Background: Alzheimer's disease (AD) trials report a high screening failure rate (potentially eligible trial candidates who do not meet inclusion/exclusion criteria during screening) due to multiple factors including stringent eligibility criteria. Here, we report the main reasons for screening failure in the 12-week screening phase of the ongoing evoke (NCT04777396) and evoke+ (NCT04777409) trials of semaglutide in early AD.
Method: Key inclusion criteria were age 55-85 years; mild cognitive impairment due to AD (Clinical Dementia Rating [CDR] global score of 0.
Drug Development.
Alzheimers Dement
December 2024
Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Background: The prohibitive costs of drug development for Alzheimer's Disease (AD) emphasize the need for alternative in silico drug repositioning strategies. Graph learning algorithms, capable of learning intrinsic features from complex network structures, can leverage existing databases of biological interactions to improve predictions in drug efficacy. We developed a novel machine learning framework, the PreSiBOGNN, that integrates muti-modal information to predict cognitive improvement at the subject level for precision medicine in AD.
View Article and Find Full Text PDFDementia Care Research and Psychosocial Factors.
Alzheimers Dement
December 2024
Massachusetts General Hospital, Boston, MA, USA.
Background: Underdiagnosis of Alzheimer's disease and related dementias (ADRD) leads to lost opportunities for timely intervention, increased healthcare costs, and underestimation of the true burden of disease. To address this problem, we developed an AI algorithm, Decipher-AI (DEtection of Cognitive Impairment PHenotypes in EHR), to screen primary care patients for undiagnosed cognitive impairment (CI). We evaluated performance across sociodemographic groups using 3 years of EHR data before the first diagnosis or most recent visit.
View Article and Find Full Text PDFTechnology and Dementia Preconference.
Alzheimers Dement
December 2024
Massachusetts General Hospital, Boston, MA, USA.
Background: Underdiagnosis of Alzheimer's disease and related dementias (ADRD) leads to lost opportunities for timely intervention, increased healthcare costs, and underestimation of the true burden of disease. To address this problem, we developed an AI algorithm, Decipher-AI (DEtection of Cognitive Impairment PHenotypes in EHR), to screen primary care patients for undiagnosed cognitive impairment (CI). We evaluated performance across sociodemographic groups using 3 years of EHR data before the first diagnosis or most recent visit.
View Article and Find Full Text PDFSuboptimal Comparison of Partitions.
J Classif
July 2020
Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
The distinction between classification and clustering is often based on a priori knowledge of classification labels. However, in the purely theoretical situation where a data-generating model is known, the optimal solutions for clustering do not necessarily correspond to optimal solutions for classification. Exploring this divergence leads us to conclude that no standard measures of either internal or external validation can guarantee a correspondence with optimal clustering performance.
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