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Peter Tino

Showing results (41-50 of 53) with videos related to

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The American Journal of Cardiology|November 4, 2024
Using Repeated Measurements to Predict Cardiovascular Risk in Patients With Type 2 DiabetesKrishna M Gokhale, Joht Singh Chandan, Chris Sainsbury, et al.
IEEE Transactions on Bio-Medical Engineering|February 9, 2013
Bridging paradigms: hybrid mechanistic-discriminative predictive modelsOrla M Doyle, Krasimira Tsaneva-Atansaova, James Harte, et al.
The American Journal of Cardiology|April 29, 2024
Using Repeated Measurements to Predict Cardiovascular Risk in Patients With Type 2 Diabetes MellitusKrishna M Gokhale, Joht Singh Chandan, Chris Sainsbury, et al.
Frontiers in Computational Neuroscience|December 3, 2016
Classifying Cognitive Profiles Using Machine Learning with Privileged Information in Mild Cognitive ImpairmentHanin H Alahmadi, Yuan Shen, Shereen Fouad, et al.
Nature Human Behaviour|March 16, 2019
Multimodal imaging of brain connectivity reveals predictors of individual decision strategy in statistical learningVasilis M Karlaftis, Joseph Giorgio, Petra E Vértes, et al.
Cells|March 11, 2023
Identification of Clinically Relevant HIV Vif Protein Motif Mutations through Machine Learning and UndersamplingJosé Salomón Altamirano-Flores, Luis Ángel Alvarado-Hernández, Juan Carlos Cuevas-Tello, et al.
BMC Psychiatry|February 6, 2025
Machine learning reveals sex differences in distinguishing between conduct-disordered and neurotypical youth based on emotion processing dysfunctionGregor Kohls, Erik M Elster, Peter Tino, et al.
Eclinicalmedicine|January 7, 2025
Robust and interpretable AI-guided marker for early dementia prediction in real-world clinical settingsLiz Yuanxi Lee, Delshad Vaghari, Michael C Burkhart, et al.
Nature Communications|September 22, 2020
A predictable conserved DNA base composition signature defines human core DNA replication originsIldem Akerman, Bahar Kasaai, Alina Bazarova, et al.
NPJ Schizophrenia|June 1, 2017
Unravelling socio-motor biomarkers in schizophreniaPiotr Słowiński, Francesco Alderisio, Chao Zhai, et al.
Pageof 6

Showing results (41-50 of 53) with videos related to

Sort By:
Pageof 6
The American Journal of Cardiology|November 4, 2024
Using Repeated Measurements to Predict Cardiovascular Risk in Patients With Type 2 DiabetesKrishna M Gokhale, Joht Singh Chandan, Chris Sainsbury, et al.
IEEE Transactions on Bio-Medical Engineering|February 9, 2013
Bridging paradigms: hybrid mechanistic-discriminative predictive modelsOrla M Doyle, Krasimira Tsaneva-Atansaova, James Harte, et al.
The American Journal of Cardiology|April 29, 2024
Using Repeated Measurements to Predict Cardiovascular Risk in Patients With Type 2 Diabetes MellitusKrishna M Gokhale, Joht Singh Chandan, Chris Sainsbury, et al.
Frontiers in Computational Neuroscience|December 3, 2016
Classifying Cognitive Profiles Using Machine Learning with Privileged Information in Mild Cognitive ImpairmentHanin H Alahmadi, Yuan Shen, Shereen Fouad, et al.
Nature Human Behaviour|March 16, 2019
Multimodal imaging of brain connectivity reveals predictors of individual decision strategy in statistical learningVasilis M Karlaftis, Joseph Giorgio, Petra E Vértes, et al.
Cells|March 11, 2023
Identification of Clinically Relevant HIV Vif Protein Motif Mutations through Machine Learning and UndersamplingJosé Salomón Altamirano-Flores, Luis Ángel Alvarado-Hernández, Juan Carlos Cuevas-Tello, et al.
BMC Psychiatry|February 6, 2025
Machine learning reveals sex differences in distinguishing between conduct-disordered and neurotypical youth based on emotion processing dysfunctionGregor Kohls, Erik M Elster, Peter Tino, et al.
Eclinicalmedicine|January 7, 2025
Robust and interpretable AI-guided marker for early dementia prediction in real-world clinical settingsLiz Yuanxi Lee, Delshad Vaghari, Michael C Burkhart, et al.
Nature Communications|September 22, 2020
A predictable conserved DNA base composition signature defines human core DNA replication originsIldem Akerman, Bahar Kasaai, Alina Bazarova, et al.
NPJ Schizophrenia|June 1, 2017
Unravelling socio-motor biomarkers in schizophreniaPiotr Słowiński, Francesco Alderisio, Chao Zhai, et al.
Pageof 6