Blood protein predictors of brain amyloid for enrichment in clinical trials?

Autor: Nicholas J. Ashton, Steven J. Kiddle, John Graf, Malcolm Ward, Alison L. Baird, Abdul Hye, Sarah Westwood, Karyuan Vivian Wong, Richard J. Dobson, Gil D. Rabinovici, Bruce L. Miller, Howard J. Rosen, Andrew Torres, Zhanpan Zhang, Lennart Thurfjell, Antonia Covin, Cristina Tan Hehir, David Baker, Chantal Bazenet, Simon Lovestone, AIBL Research Group

Publikováno v: Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 1, Iss 1, Pp 48-60 (2015)

Abstract Background Measures of neocortical amyloid burden (NAB) identify individuals who are at substantially greater risk of developing Alzheimer's disease (AD). Blood‐based biomarkers predicting NAB would have great utility for the enrichment of

Externí odkaz: https://doaj.org/article/7a1baea6633143a28c4b683389bf4493

Predicting Breast Cancer Events in Ductal Carcinoma In Situ (DCIS) Using Generative Adversarial Network Augmented Deep Learning Model

Autor: Soumya Ghose, Sanghee Cho, Fiona Ginty, Elizabeth McDonough, Cynthia Davis, Zhanpan Zhang, Jhimli Mitra, Adrian L. Harris, Aye Aye Thike, Puay Hoon Tan, Yesim Gökmen-Polar, Sunil S. Badve

Publikováno v: Cancers; Volume 15; Issue 7; Pages: 1922

Standard clinicopathological parameters (age, growth pattern, tumor size, margin status and grade) have been shown to have limited value in predicting recurrence in ductal carcinoma in situ (DCIS) patients. Early and accurate recurrence prediction wo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4277dbe0b087c21d46ce8d76aa16e8b1
https://doi.org/10.3390/cancers15071922

Change point detection and issue localization based on fleet-wide fault data

Autor: Zhanpan Zhang, Necip Doganaksoy

Modern industrial assets (e.g., generators, turbines, engines) are outfitted with numerous sensors to monitor key operating and environmental variables. Unusual sensor readings, such as high temperature, excessive vibration, or low current, could tri

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1f50c18343e67c0dfc3d25420d6e901

Blood Protein Markers of Neocortical Amyloid-β Burden: A Candidate Study Using SOMAscan Technology

Autor: Chantal Bazenet, Simon Lovestone, Dipen Sangurdekar, David Baker, Nicola Voyle, Cristina Tan Hehir, Samantha C. Burnham, Steven J. Kiddle, Zhanpan Zhang, Richard Dobson, Antonia Covin

Publikováno v: Journal of Alzheimer's Disease
Voyle, N, Baker, D, Burnham, S C, Covin, A, Zhang, Z, Sangurdekar, D P, Tan, H CA, Bazenet, C, Lovestone, S, Kiddle, S & Dobson, R J B 2015, ' Blood Protein Markers of Neocortical Amyloid-β Burden: A Candidate Study Using SOMAscan Technology. ', JOURNAL OF ALZHEIMERS DISEASE, vol. 46, no. 4, pp. 947-961 . https://doi.org/10.3233/JAD-150020

BACKGROUND:Four previously reported studies have tested for association of blood proteins with neocortical amyloid-β burden (NAB). If shown to be robust, these proteins could have utility as a blood test for enrichment in clinical trials of Alzheime

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1d430fdb6bd6a3ee3d5f2aacb153280
http://europepmc.org/articles/PMC4923714

Co-clustering Spatial Data Using a Generalized Linear Mixed Model With Application to the Integrated Pest Management

Autor: Daniel R. Jeske, Xinping Cui, Zhanpan Zhang, Mark S. Hoddle

Publikováno v: Journal of Agricultural, Biological, and Environmental Statistics. 17:265-282

Co-clustering has been broadly applied to many domains such as bioinformatics and text mining. However, model-based spatial co-clustering has not been studied. In this paper, we develop a co-clustering method using a generalized linear mixed model fo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cba90d93fcac50232ed328987d7aa206
https://doi.org/10.1007/s13253-012-0089-7