Prediction of spontaneous preterm birth using supervised machine learning on metabolomic data: A case–cohort study von Al Ghadban, Yasmina, Du, Yuheng, Charnock‐Jones, D. Stephen, Garmire, Lana X., Smith, Gordon C. S., Sovio, Ulla

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Family medicine viewed through the public lens: A national cross-sectional study in Lebanon von Shalak, Manar, Nepal, Manoj, Al Ghadban, Yasmina, Antoun, Jumana, Romani, Maya

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Impact of the COVID-19 pandemic on smoking behavior and beliefs among the American University of Beirut community von Ghadban, Yasmina Al, Zgheib, Nathalie, Romani, Maya, Akl, Imad Bou, Nasr, Rihab

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Four Years of ‘Students as Researchers Initiative’: A Summer Internship Engaging High School Students in STEM Research in Lebanon von Al Ghadban, Yasmina, Al Shoukari, Ayman, Bakkar, Nour-Mounira Z., Nassar, Farah J., Itani, Abdul Rahman, Chamandi, Ghada, Zgheib, Nathalie, Nasr, Rihab

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Prediction of spontaneous preterm birth using supervised machine learning on metabolomic data: A case-cohort study von Al Ghadban, Yasmina, Du, Yuheng, Charnock-Jones, D Stephen, Garmire, Lana X, Smith, Gordon CS, Sovio, Ulla

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Prediction of spontaneous preterm birth using supervised machine learning on metabolomic data: A case–cohort study von Al Ghadban, Yasmina, Du, Yuheng, Charnock‐Jones, D Stephen, Garmire, Lana X, Smith, Gordon CS, Sovio, Ulla

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Acknowledgment to Reviewers of the International Journal of Molecular Sciences in 2020 von International Journal Of Molecular Sciences Editorial Office

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