Listar por autor "Oskotsky, Tomiko T."
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Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research
Golob, Jonathan L.; Oskotsky, Tomiko T.; Tang, Alice S.; Roldan, Alennie; Chung, Verena; Ha, Connie W.Y.; Wong, Ronald J.; Flynn, Kaitlin J.; Parraga-Leo, Antonio; Wibrand, Camilla (Elsevier, 2024-01-16)[Abstract]: Every year, 11% of infants are born preterm with significant health consequences, with the vaginal microbiome a risk factor for preterm birth. We crowdsource models to predict (1) preterm birth (PTB; <37 weeks) ...