Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research.
Golob JL, Oskotsky TT, Tang AS, Roldan A, Chung V, Ha CWY, Wong RJ, Flynn KJ, Chai R, Dubin C, Parraga-Leo A, Wibrand C, Minot SS, Oskotsky B, Andreoletti G, Kosti I, Bletz J, Nelson A, Gao J, Wei Z, Chen G, Tang ZZ, Novielli P, Romano D, Pantaleo E, Amoroso N, Monaco A, Vacca M, De Angelis M, Bellotti R, Tangaro S, Wang Z, Yao J, Goel A, Mao J, Wang H, Zhang Y, Tewari A, Kuntzleman A, Bigcraft I, Techtmann S, Bae D, Kim E, Jeon J, Joe S; Preterm Birth DREAM Community; Theis KR, Ng S, Lee YS, Diaz-Gimeno P, Bennett PR, MacIntyre DA, Stolovitzky G, Lynch SV, Albrecht J, Gomez-Lopez N, Romero R, Stevenson DK, Aghaeepour N, Tarca AL, Costello JC, Sirota M.
Golob JL, et al. Among authors: lynch sv.
Cell Rep Med. 2025 Dec 16;6(12):102428. doi: 10.1016/j.xcrm.2025.102428. Epub 2025 Nov 7.
Cell Rep Med. 2025.
PMID: 41205590
Free PMC article.
No abstract available.