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Gary M Shaw

Showing results (511-520 of 530) 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.
BMC Medicine|February 3, 2026
Early gestational prediction of spontaneous preterm birth using a validated three-protein serum biomarker panelQiong Luo, Juan Wei, Yun Ding, et al.
Frontiers in Immunology|July 3, 2019
Differential Dynamics of the Maternal Immune System in Healthy Pregnancy and PreeclampsiaXiaoyuan Han, Mohammad S Ghaemi, Kazuo Ando, et al.
BMJ Public Health|May 28, 2025
Association between gestational weight gain and adverse pregnancy outcomes: cohort analysis from South Asia and Sub-Saharan AfricaYuri V Sebastião, Ramachandran Thiruvengadam, Rasheda Khanam, 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.
Birth Defects Research|July 23, 2019
Exome sequencing of family trios from the National Birth Defects Prevention Study: Tapping into a rich resource of genetic and environmental dataMary M Jenkins, Lynn M Almli, Faith Pangilinan, 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.
Pageof 53

Showing results (511-520 of 530) with videos related to

Sort By:
Pageof 53
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.
BMC Medicine|February 3, 2026
Early gestational prediction of spontaneous preterm birth using a validated three-protein serum biomarker panelQiong Luo, Juan Wei, Yun Ding, et al.
Frontiers in Immunology|July 3, 2019
Differential Dynamics of the Maternal Immune System in Healthy Pregnancy and PreeclampsiaXiaoyuan Han, Mohammad S Ghaemi, Kazuo Ando, et al.
BMJ Public Health|May 28, 2025
Association between gestational weight gain and adverse pregnancy outcomes: cohort analysis from South Asia and Sub-Saharan AfricaYuri V Sebastião, Ramachandran Thiruvengadam, Rasheda Khanam, 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.
Birth Defects Research|July 23, 2019
Exome sequencing of family trios from the National Birth Defects Prevention Study: Tapping into a rich resource of genetic and environmental dataMary M Jenkins, Lynn M Almli, Faith Pangilinan, 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.
Pageof 53