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Martin Eklund

Showing results (41-50 of 207) with videos related to

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Journal of Computer-Aided Molecular Design|March 19, 2013
QSAR with experimental and predictive distributions: an information theoretic approach for assessing model qualityDavid J Wood, Lars Carlsson, Martin Eklund, et al.
Pharmaceutical Statistics|November 25, 2025
Simulation-Based Bayesian Predictive Probability of Success for Interim Monitoring of Clinical Trials With Competing Event Data: Two Case StudiesChiara Micoli, Alessio Crippa, Jason T Connor, et al.
Journal of the National Cancer Institute|November 1, 2018
Response to WalshPeter Ström, Anna Wallerstedt Lantz, Henrik Grönberg, et al.
Plos One|December 24, 2010
Proteochemometric modeling of the susceptibility of mutated variants of the HIV-1 virus to reverse transcriptase inhibitorsMuhammad Junaid, Maris Lapins, Martin Eklund, et al.
European Urology|August 25, 2014
Comparison Between the Four-kallikrein Panel and Prostate Health Index for Predicting Prostate CancerTobias Nordström, Andrew Vickers, Melissa Assel, et al.
European Urology Focus|July 30, 2017
Balancing Overdiagnosis and Early Detection of Prostate Cancer using the Stockholm-3 ModelTobias Nordström, Henrik Grönberg, Jan Adolfsson, et al.
Journal of Cheminformatics|July 2, 2010
Towards interoperable and reproducible QSAR analyses: Exchange of datasetsOla Spjuth, Egon L Willighagen, Rajarshi Guha, et al.
Bioinformatics (Oxford, England)|April 16, 2011
Services for prediction of drug susceptibility for HIV proteases and reverse transcriptases at the HIV drug research centreOla Spjuth, Martin Eklund, Maris Lapins, et al.
Pathology International|April 14, 2025
The Role of Artificial Intelligence in the Evaluation of Prostate PathologyLars Egevad, Andrea Camilloni, Brett Delahunt, et al.
European Urology|January 15, 2018
The Stockholm-3 Model for Prostate Cancer Detection: Algorithm Update, Biomarker Contribution, and Reflex Test PotentialPeter Ström, Tobias Nordström, Markus Aly, et al.
Pageof 21

Showing results (41-50 of 207) with videos related to

Sort By:
Pageof 21
Journal of Computer-Aided Molecular Design|March 19, 2013
QSAR with experimental and predictive distributions: an information theoretic approach for assessing model qualityDavid J Wood, Lars Carlsson, Martin Eklund, et al.
Pharmaceutical Statistics|November 25, 2025
Simulation-Based Bayesian Predictive Probability of Success for Interim Monitoring of Clinical Trials With Competing Event Data: Two Case StudiesChiara Micoli, Alessio Crippa, Jason T Connor, et al.
Journal of the National Cancer Institute|November 1, 2018
Response to WalshPeter Ström, Anna Wallerstedt Lantz, Henrik Grönberg, et al.
Plos One|December 24, 2010
Proteochemometric modeling of the susceptibility of mutated variants of the HIV-1 virus to reverse transcriptase inhibitorsMuhammad Junaid, Maris Lapins, Martin Eklund, et al.
European Urology|August 25, 2014
Comparison Between the Four-kallikrein Panel and Prostate Health Index for Predicting Prostate CancerTobias Nordström, Andrew Vickers, Melissa Assel, et al.
European Urology Focus|July 30, 2017
Balancing Overdiagnosis and Early Detection of Prostate Cancer using the Stockholm-3 ModelTobias Nordström, Henrik Grönberg, Jan Adolfsson, et al.
Journal of Cheminformatics|July 2, 2010
Towards interoperable and reproducible QSAR analyses: Exchange of datasetsOla Spjuth, Egon L Willighagen, Rajarshi Guha, et al.
Bioinformatics (Oxford, England)|April 16, 2011
Services for prediction of drug susceptibility for HIV proteases and reverse transcriptases at the HIV drug research centreOla Spjuth, Martin Eklund, Maris Lapins, et al.
Pathology International|April 14, 2025
The Role of Artificial Intelligence in the Evaluation of Prostate PathologyLars Egevad, Andrea Camilloni, Brett Delahunt, et al.
European Urology|January 15, 2018
The Stockholm-3 Model for Prostate Cancer Detection: Algorithm Update, Biomarker Contribution, and Reflex Test PotentialPeter Ström, Tobias Nordström, Markus Aly, et al.
Pageof 21