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M Neve

Showing results (31-40 of 80) with videos related to

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Nature Methods|May 29, 2015
Reproducibility: changing the policies and culture of cell line authenticationLeonard P Freedman, Mark C Gibson, Stephen P Ethier, et al.
PEC Innovation|September 11, 2023
The added value of the artificial intelligence patient-reported experience measure (AI-PREM tool) in clinical practise: Deployment in a vestibular schwannoma care pathwayO M Neve, M M van Buchem, M Kunneman, et al.
Science (New York, N.Y.)|March 13, 2010
Restriction of receptor movement alters cellular response: physical force sensing by EphA2Khalid Salaita, Pradeep M Nair, Rebecca S Petit, et al.
Clinical Oncology (Royal College of Radiologists (Great Britain))|May 23, 2018
Use of Comprehensive Geriatric Assessment and Geriatric Screening for Older Adults in the Radiation Oncology Setting: A Systematic ReviewE Szumacher, S Sattar, M Neve, et al.
Cancer Cell|August 16, 2005
A conditional feedback loop regulates Ras activity through EphA2Madhu Macrae, Richard M Neve, Pablo Rodriguez-Viciana, et al.
BMC Medical Informatics and Decision Making|July 15, 2022
Analyzing patient experiences using natural language processing: development and validation of the artificial intelligence patient reported experience measure (AI-PREM)Marieke M van Buchem, Olaf M Neve, Ilse M J Kant, et al.
Patient Education and Counseling|April 28, 2024
Patient-reported outcome measures in value-based healthcare: A multiple methods study to assess patient-centrednessMartha Kidanemariam, Olaf M Neve, Isabelle van den Heuvel, et al.
Biotechniques|October 14, 2015
The culture of cell culture practices and authentication--Results from a 2015 SurveyLeonard P Freedman, Mark C Gibson, Rosann Wisman, et al.
Plos One|February 26, 2015
Human biosample authentication using the high-throughput, cost-effective SNPtrace(TM) systemMay M Y Liang-Chu, Mamie Yu, Peter M Haverty, et al.
BMC Bioinformatics|May 15, 2012
Integrating biological knowledge into variable selection: an empirical Bayes approach with an application in cancer biologySteven M Hill, Richard M Neve, Nora Bayani, et al.
Pageof 8

Showing results (31-40 of 80) with videos related to

Sort By:
Pageof 8
Nature Methods|May 29, 2015
Reproducibility: changing the policies and culture of cell line authenticationLeonard P Freedman, Mark C Gibson, Stephen P Ethier, et al.
PEC Innovation|September 11, 2023
The added value of the artificial intelligence patient-reported experience measure (AI-PREM tool) in clinical practise: Deployment in a vestibular schwannoma care pathwayO M Neve, M M van Buchem, M Kunneman, et al.
Science (New York, N.Y.)|March 13, 2010
Restriction of receptor movement alters cellular response: physical force sensing by EphA2Khalid Salaita, Pradeep M Nair, Rebecca S Petit, et al.
Clinical Oncology (Royal College of Radiologists (Great Britain))|May 23, 2018
Use of Comprehensive Geriatric Assessment and Geriatric Screening for Older Adults in the Radiation Oncology Setting: A Systematic ReviewE Szumacher, S Sattar, M Neve, et al.
Cancer Cell|August 16, 2005
A conditional feedback loop regulates Ras activity through EphA2Madhu Macrae, Richard M Neve, Pablo Rodriguez-Viciana, et al.
BMC Medical Informatics and Decision Making|July 15, 2022
Analyzing patient experiences using natural language processing: development and validation of the artificial intelligence patient reported experience measure (AI-PREM)Marieke M van Buchem, Olaf M Neve, Ilse M J Kant, et al.
Patient Education and Counseling|April 28, 2024
Patient-reported outcome measures in value-based healthcare: A multiple methods study to assess patient-centrednessMartha Kidanemariam, Olaf M Neve, Isabelle van den Heuvel, et al.
Biotechniques|October 14, 2015
The culture of cell culture practices and authentication--Results from a 2015 SurveyLeonard P Freedman, Mark C Gibson, Rosann Wisman, et al.
Plos One|February 26, 2015
Human biosample authentication using the high-throughput, cost-effective SNPtrace(TM) systemMay M Y Liang-Chu, Mamie Yu, Peter M Haverty, et al.
BMC Bioinformatics|May 15, 2012
Integrating biological knowledge into variable selection: an empirical Bayes approach with an application in cancer biologySteven M Hill, Richard M Neve, Nora Bayani, et al.
Pageof 8