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Automated real-world data integration improves cancer outcome prediction.
Jee J, Fong C, Pichotta K, Tran TN, Luthra A, Waters M, Fu C, Altoe M, Liu SY, Maron SB, Ahmed M, Kim S, Pirun M, Chatila WK, de Bruijn I, Pasha A, Kundra R, Gross B, Mastrogiacomo B, Aprati TJ, Liu D, Gao J, Capelletti M, Pekala K, Loudon L, Perry M, Bandlamudi C, Donoghue M, Satravada BA, Martin A, Shen R, Chen Y, Brannon AR, Chang J, Braunstein L, Li A, Safonov A, Stonestrom A, Sanchez-Vela P, Wilhelm C, Robson M, Scher H, Ladanyi M, Reis-Filho JS, Solit DB, Jones DR, Gomez D, Yu H, Chakravarty D, Yaeger R, Abida W, Park W, O'Reilly EM, Garcia-Aguilar J, Socci N, Sanchez-Vega F, Carrot-Zhang J, Stetson PD, Levine R, Rudin CM, Berger MF, Shah SP, Schrag D, Razavi P, Kehl KL, Li BT, Riely GJ, Schultz N; MSK Cancer Data Science Initiative Group. Jee J, et al. Among authors: li a. Nature. 2024 Nov 6. doi: 10.1038/s41586-024-08167-5. Online ahead of print. Nature. 2024. PMID: 39506116
Deep generative design of RNA aptamers using structural predictions.
Wong F, He D, Krishnan A, Hong L, Wang AZ, Wang J, Hu Z, Omori S, Li A, Rao J, Yu Q, Jin W, Zhang T, Ilia K, Chen JX, Zheng S, King I, Li Y, Collins JJ. Wong F, et al. Among authors: li a. Nat Comput Sci. 2024 Nov 6. doi: 10.1038/s43588-024-00720-6. Online ahead of print. Nat Comput Sci. 2024. PMID: 39506080
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