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

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DOI: 10.1038/s41586-024-08167-5
Published: 2024 Dec
Container: Nature
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41586-024-08167-5,
  title = {Automated real-world data integration improves cancer outcome prediction.},
  author = {Jee J and Fong C and Pichotta K and Tran TN and Luthra A and Waters M and Fu C and Altoe M and Liu SY and Maron SB and Ahmed M and Kim S and Pirun M and Chatila WK and de Bruijn I and Pasha A and Kundra R and Gross B and Mastrogiacomo B and Aprati TJ and Liu D and Gao J and Capelletti M and Pekala K and Loudon L and Perry M and Bandlamudi C and Donoghue M and Satravada BA and Martin A and Shen R and Chen Y and Brannon AR and Chang J and Braunstein L and Li A and Safonov A and Stonestrom A and Sanchez-Vela P and Wilhelm C and Robson M and Scher H and Ladanyi M and Reis-Filho JS and Solit DB and Jones DR and Gomez D and Yu H and Chakravarty D and Yaeger R and Abida W and Park W and O'Reilly EM and Garcia-Aguilar J and Socci N and Sanchez-Vega F and Carrot-Zhang J and Stetson PD and Levine R and Rudin CM and Berger MF and Shah SP and Schrag D and Razavi P and Kehl KL and Li BT and Riely GJ and Schultz N and MSK Cancer Data Science Initiative Group},
  year = {2024},
  journal = {Nature},
  doi = {10.1038/s41586-024-08167-5},
  url = {https://doi.org/10.1038/s41586-024-08167-5}
}

RIS

TY  - JOUR
TI  - Automated real-world data integration improves cancer outcome prediction.
AU  - Jee J
AU  - Fong C
AU  - Pichotta K
AU  - Tran TN
AU  - Luthra A
AU  - Waters M
AU  - Fu C
AU  - Altoe M
AU  - Liu SY
AU  - Maron SB
AU  - Ahmed M
AU  - Kim S
AU  - Pirun M
AU  - Chatila WK
AU  - de Bruijn I
AU  - Pasha A
AU  - Kundra R
AU  - Gross B
AU  - Mastrogiacomo B
AU  - Aprati TJ
AU  - Liu D
AU  - Gao J
AU  - Capelletti M
AU  - Pekala K
AU  - Loudon L
AU  - Perry M
AU  - Bandlamudi C
AU  - Donoghue M
AU  - Satravada BA
AU  - Martin A
AU  - Shen R
AU  - Chen Y
AU  - Brannon AR
AU  - Chang J
AU  - Braunstein L
AU  - Li A
AU  - Safonov A
AU  - Stonestrom A
AU  - Sanchez-Vela P
AU  - Wilhelm C
AU  - Robson M
AU  - Scher H
AU  - Ladanyi M
AU  - Reis-Filho JS
AU  - Solit DB
AU  - Jones DR
AU  - Gomez D
AU  - Yu H
AU  - Chakravarty D
AU  - Yaeger R
AU  - Abida W
AU  - Park W
AU  - O'Reilly EM
AU  - Garcia-Aguilar J
AU  - Socci N
AU  - Sanchez-Vega F
AU  - Carrot-Zhang J
AU  - Stetson PD
AU  - Levine R
AU  - Rudin CM
AU  - Berger MF
AU  - Shah SP
AU  - Schrag D
AU  - Razavi P
AU  - Kehl KL
AU  - Li BT
AU  - Riely GJ
AU  - Schultz N
AU  - MSK Cancer Data Science Initiative Group
PY  - 2024
JO  - Nature
DO  - 10.1038/s41586-024-08167-5
UR  - https://doi.org/10.1038/s41586-024-08167-5
ER  -

APA

J, J., C, F., K, P., TN, T., A, L., M, W., C, F., M, A., SY, L., SB, M., M, A., S, K., M, P., WK, C., I, D. B., A, P., R, K., B, G., B, M., TJ, A., D, L., J, G., M, C., K, P., L, L., M, P., C, B., M, D., BA, S., A, M., R, S., Y, C., AR, B., J, C., L, B., A, L., A, S., A, S., P, S., C, W., M, R., H, S., M, L., JS, R., DB, S., DR, J., D, G., H, Y., D, C., R, Y., W, A., W, P., EM, O., J, G., N, S., F, S., J, C., PD, S., R, L., CM, R., MF, B., SP, S., D, S., P, R., KL, K., BT, L., GJ, R., N, S., & Group, M. C. D. S. I. (2024). Automated real-world data integration improves cancer outcome prediction.. Nature. https://doi.org/10.1038/s41586-024-08167-5

Source records

pubmed · retrieved 2026-09-26T04:15:41.294Z