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Akademický článek

A Bayesian mathematical model of motor and cognitive outcomes in Parkinson's disease.

Autor: Boris Hayete, Diane Wuest, Jason Laramie, Paul McDonagh, Bruce Church, Shirley Eberly, Anthony Lang, Kenneth Marek, Karl Runge, Ira Shoulson, Andrew Singleton, Caroline Tanner, Iya Khalil, Ajay Verma, Bernard Ravina

Publikováno v: PLoS ONE, Vol 12, Iss 6, p e0178982 (2017)

There are few established predictors of the clinical course of PD. Prognostic markers would be useful for clinical care and research.To identify predictors of long-term motor and cognitive outcomes and rate of progression in PD.Newly diagnosed PD par

Externí odkaz: https://doaj.org/article/a6753720be9843aba41a66e0c4e1688d

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Large-scale identification of clinical and genetic predictors of Parkinson’s disease motor progression in newly-diagnosed patients: a longitudinal cohort study and validation

Autor: Charles S. Venuto, Bruce W. Church, Michael T. Beste, Boris Hayete, Jeanne C. Latourelle, Jacob N Oppenheim, Robert E. Miller, Iya Khalil, Diane Wuest, Matthew P Valko, Tiffany C. Hadzi

Publikováno v: The Lancet. Neurology

Summary Background Better understanding and prediction of progression of Parkinson's disease could improve disease management and clinical trial design. We aimed to use longitudinal clinical, molecular, and genetic data to develop predictive models,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14698fafc433ebd5996504a31a6536ec
http://europepmc.org/articles/PMC5693218

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A Bayesian mathematical model of motor and cognitive outcomes in Parkinson's disease

Autor: Ira Shoulson, Iya Khalil, Bernard Ravina, Anthony E. Lang, Kenneth Marek, Jason M. Laramie, Boris Hayete, Shirley Eberly, Andrew B. Singleton, Diane Wuest, Karl Runge, Bruce W. Church, Ajay Verma, Caroline M. Tanner, Paul D. McDonagh

Publikováno v: PLoS ONE, Vol 12, Iss 6, p e0178982 (2017)
PloS one, vol 12, iss 6
PLoS ONE

Background There are few established predictors of the clinical course of PD. Prognostic markers would be useful for clinical care and research. Objective To identify predictors of long-term motor and cognitive outcomes and rate of progression in PD.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad04e884632f8875961f50ad97c686b0
http://europepmc.org/articles/PMC5467836?pdf=render

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Preclinical Validation Studies Support Causal Machine Learning Based Identification of Novel Drug Targets for High-Risk Multiple Myeloma

Autor: Arnold Bolomsky, Fred K. Gruber, Boris Hayete, Heinz Ludwig, Dominik Arnold, Puja Raut, Leon Furchtgott, Niklas Zojer, Diane Wuest, Nikhil C. Munshi, Karl Runge, Kathrin Stangelberger, Iya Khalil

Publikováno v: Blood. 132:3210-3210

Introduction Regardless of significant advances in the therapy of multiple myeloma (MM) there is still a lack of effective treatment options for patients with high-risk disease. In this context, we recently developed a network of high-risk disease ba

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2d8cfe4f45f16c2e6567b5e68c1cef78
https://doi.org/10.1182/blood-2018-99-117886

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Causal modeling of CALGB 80405 (Alliance) to identify network drivers of metastatic colorectal cancer (CRC)

Autor: Kelly Rich, Federico Innocenti, Diane Wuest, Iya Khalil, Leon Furchtgott, D. R. da Cunha, Fang-Shu Ou, Eileen M. O'Reilly, Andrew B. Nixon, Donna Niedzwiecki, Rahul K Das, Boris Hayete, Heinz-Josef Lenz, Jeanne C. Latourelle, Jeffrey A. Meyerhardt, Alan P. Venook

Publikováno v: Journal of Clinical Oncology. 36:3570-3570

3570Background: CALGB 80405 is a phase III clinical trial of FOLFOX/ FOLFIRI with randomly assigned cetuximab/ bevacizumab. Novel causal machine learning approaches to the study dataset may lead to...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::549416ced65e293dc8cdce1eae2af4d9
https://doi.org/10.1200/jco.2018.36.15_suppl.3570

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Statistical modeling of CALGB 80405 (Alliance) to identify influential factors in metastatic colorectal cancer (CRC) dependent on primary (1o) tumor side

Autor: Kelly Rich, Leon Furchtgott, Federico Innocenti, Boris Hayete, Heinz-Josef Lenz, David A. Swanson, Jeffrey A. Meyerhardt, Andrew B. Nixon, Diane Wuest, Donna Niedzwiecki, Alan P. Venook, Iya Khalil, Fang-Shu Ou, Eileen M. O'Reilly

Publikováno v: Journal of Clinical Oncology. 35:3528-3528

3528 Background: CALGB 80405 is a phase III clinical trial of FOLFOX and FOLFIRI w/ randomly assigned cetuximab or bevacizumab. Novel machine learning approaches to the study dataset provide valuable insights into CRC prognosis and management of CRC

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3073bca57cc76851efefb585bbf758b4
https://doi.org/10.1200/jco.2017.35.15_suppl.3528

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Bayesian Network Models of Multiple Myeloma: Drivers of High Risk and Durable Response

Autor: Boris Hayete, Jonathan J Keats, Karl Runge, Mary Derome, Diane Wuest, Tiffany Hadzi, Fred K. Gruber, Sagar Lonial, Daniel Auclair, Kyle McBride, Iya Khalil

Publikováno v: Blood. 128:4406-4406

Introduction Multiple Myeloma (MM)is characterizedby heterogeneous clinical outcomes to existing therapies, which reflects the diverse genetic and molecular properties of tumor clones among patients. This intra-clonal heterogeneity may affect distinc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e1f92e877c0db0d4a399aabd5147e63b
https://doi.org/10.1182/blood.v128.22.4406.4406

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