1. Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research
- Author
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Golob, Jonathan L, Oskotsky, Tomiko T, Tang, Alice S, Roldan, Alennie, Chung, Verena, Ha, Connie WY, Wong, Ronald J, Flynn, Kaitlin J, Parraga-Leo, Antonio, Wibrand, Camilla, Minot, Samuel S, Oskotsky, Boris, Andreoletti, Gaia, Kosti, Idit, Bletz, Julie, Nelson, Amber, Gao, Jifan, Wei, Zhoujingpeng, Chen, Guanhua, Tang, Zheng-Zheng, Novielli, Pierfrancesco, Romano, Donato, Pantaleo, Ester, Amoroso, Nicola, Monaco, Alfonso, Vacca, Mirco, De Angelis, Maria, Bellotti, Roberto, Tangaro, Sabina, Kuntzleman, Abigail, Bigcraft, Isaac, Techtmann, Stephen, Bae, Daehun, Kim, Eunyoung, Jeon, Jongbum, Joe, Soobok, Community, The Preterm Birth DREAM, Theis, Kevin R, Ng, Sherrianne, Lee, Yun S, Diaz-Gimeno, Patricia, Bennett, Phillip R, MacIntyre, David A, Stolovitzky, Gustavo, Lynch, Susan V, Albrecht, Jake, Gomez-Lopez, Nardhy, Romero, Roberto, Stevenson, David K, Aghaeepour, Nima, Tarca, Adi L, Costello, James C, and Sirota, Marina
- Subjects
Paediatrics ,Biomedical and Clinical Sciences ,Machine Learning and Artificial Intelligence ,Pregnancy ,Prevention ,Human Genome ,Genetics ,Perinatal Period - Conditions Originating in Perinatal Period ,Pediatric ,Microbiome ,Women's Health ,Preterm ,Low Birth Weight and Health of the Newborn ,Reproductive health and childbirth ,Good Health and Well Being ,Female ,Infant ,Newborn ,Humans ,Premature Birth ,Crowdsourcing ,Phylogeny ,Vagina ,Microbiota ,Preterm Birth DREAM Community ,16S harmonization ,DREAM challenge ,crowdsourced ,machine learning ,microbiome ,predictive modeling ,preterm birth ,vaginal microbiome ,Biomedical and clinical sciences - 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;
- Published
- 2024