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Alan L Chang

Showing results (41-50 of 48) with videos related to

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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.
Nature Communications|July 10, 2026
PregMedNet: Multifaceted maternal medication impacts on neonatal complicationsYeasul Kim, Ivana Marić, Chloe M Kashiwagi, 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 Advances|May 24, 2023
Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countriesCamilo A Espinosa, Waqasuddin Khan, Rasheda Khanam, et al.
JAMA Network Open|December 18, 2020
Multiomics Characterization of Preterm Birth in Low- and Middle-Income CountriesFyezah Jehan, Sunil Sazawal, Abdullah H Baqui, et al.
Pageof 5

Showing results (41-50 of 48) with videos related to

Sort By:
Pageof 5
You have reached the last page of results.This site can display upto 48 results.
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.
Nature Communications|July 10, 2026
PregMedNet: Multifaceted maternal medication impacts on neonatal complicationsYeasul Kim, Ivana Marić, Chloe M Kashiwagi, 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 Advances|May 24, 2023
Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countriesCamilo A Espinosa, Waqasuddin Khan, Rasheda Khanam, et al.
JAMA Network Open|December 18, 2020
Multiomics Characterization of Preterm Birth in Low- and Middle-Income CountriesFyezah Jehan, Sunil Sazawal, Abdullah H Baqui, et al.
Pageof 5