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Martin Becker

Showing results (111-120 of 123) with videos related to

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Nature Communications|July 29, 2020
VoPo leverages cellular heterogeneity for predictive modeling of single-cell dataNatalie Stanley, Ina A Stelzer, Amy S Tsai, et al.
Science Translational Medicine|January 21, 2026
Quantitative assessment of neonatal health using dried blood spot metabolite profiles and deep learningAlan L Chang, Jonathan D Reiss, Anthony Culos, et al.
Nature Computational Science|December 20, 2023
Large-scale correlation network construction for unraveling the coordination of complex biological systemsMartin Becker, Huda Nassar, Camilo Espinosa, et al.
Nature Machine Intelligence|December 9, 2020
Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictionsAnthony Culos, Amy S Tsai, Natalie Stanley, et al.
Frontiers in Pediatrics|December 30, 2022
Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learningMartin Becker, Jennifer Dai, Alan L Chang, et al.
Medrxiv : the Preprint Server for Health Sciences|February 24, 2025
PregMedNet: Multifaceted Maternal Medication Impacts on Neonatal ComplicationsYeasul Kim, Ivana Marić, Chloe M Kashiwagi, et al.
Science Translational Medicine|February 15, 2023
Data-driven longitudinal characterization of neonatal health and morbidityDavide De Francesco, Jonathan D Reiss, Jacquelyn Roger, et al.
Patterns (New York, N.Y.)|December 26, 2022
Early prediction and longitudinal modeling of preeclampsia from multiomicsIvana Marić, Kévin Contrepois, Mira N Moufarrej, et al.
Science Translational Medicine|May 6, 2021
Integrated trajectories of the maternal metabolome, proteome, and immunome predict labor onsetIna A Stelzer, Mohammad S Ghaemi, Xiaoyuan Han, et al.
Medrxiv : the Preprint Server for Health Sciences|June 12, 2025
An Unsupervised XAI Framework for Dementia Detection with Context EnrichmentDevesh Singh, Yusuf Brima, Fedor Levin, et al.
Pageof 13

Showing results (111-120 of 123) with videos related to

Sort By:
Pageof 13
Nature Communications|July 29, 2020
VoPo leverages cellular heterogeneity for predictive modeling of single-cell dataNatalie Stanley, Ina A Stelzer, Amy S Tsai, et al.
Science Translational Medicine|January 21, 2026
Quantitative assessment of neonatal health using dried blood spot metabolite profiles and deep learningAlan L Chang, Jonathan D Reiss, Anthony Culos, et al.
Nature Computational Science|December 20, 2023
Large-scale correlation network construction for unraveling the coordination of complex biological systemsMartin Becker, Huda Nassar, Camilo Espinosa, et al.
Nature Machine Intelligence|December 9, 2020
Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictionsAnthony Culos, Amy S Tsai, Natalie Stanley, et al.
Frontiers in Pediatrics|December 30, 2022
Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learningMartin Becker, Jennifer Dai, Alan L Chang, et al.
Medrxiv : the Preprint Server for Health Sciences|February 24, 2025
PregMedNet: Multifaceted Maternal Medication Impacts on Neonatal ComplicationsYeasul Kim, Ivana Marić, Chloe M Kashiwagi, et al.
Science Translational Medicine|February 15, 2023
Data-driven longitudinal characterization of neonatal health and morbidityDavide De Francesco, Jonathan D Reiss, Jacquelyn Roger, et al.
Patterns (New York, N.Y.)|December 26, 2022
Early prediction and longitudinal modeling of preeclampsia from multiomicsIvana Marić, Kévin Contrepois, Mira N Moufarrej, et al.
Science Translational Medicine|May 6, 2021
Integrated trajectories of the maternal metabolome, proteome, and immunome predict labor onsetIna A Stelzer, Mohammad S Ghaemi, Xiaoyuan Han, et al.
Medrxiv : the Preprint Server for Health Sciences|June 12, 2025
An Unsupervised XAI Framework for Dementia Detection with Context EnrichmentDevesh Singh, Yusuf Brima, Fedor Levin, et al.
Pageof 13