# Automated real-world data integration improves cancer outcome prediction

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/automated-real-world-data-integration-improves-cancer-outcome-prediction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Justin Jee,Christopher J. Fong,Karl Pichotta,Thinh Ngoc Tran,Anisha Luthra,Michele Waters,Chenlian Fu,Mirella L. Altoé,Siyang Liu,Steven B. Maron,Mehnaj Ahmed,Susie Kim,Mono Pirun,Walid K. Chatila,Ino de Bruijn,Arfath Pasha,Ritika Kundra,Benjamin Groß,Brooke Mastrogiacomo,Tyler Aprati,David Liu,Jianjiong Gao,Marzia Capelletti,Kelly R. Pekala,Lisa Loudon,Maria Perry,Chaitanya Bandlamudi,Mark T.A. Donoghue,Baby A. Satravada,Axel Martin,Ronglai Shen,Yuan Chen,A. Rose Brannon,Jason C. Chang,Lior Z. Braunstein,Anyi Li,Anton Safonov,Aaron J. Stonestrom,Pablo Sánchez Vela,Clare Wilhelm,Mark E. Robson,Howard I. Scher,Marc Ladanyi,Jorge S. Reis‐Filho,David B. Solit,David R. Jones,Daniel R. Gomez,Helena A. Yu,Debyani Chakravarty,Rona Yaeger,Wassim Abida,Wungki Park,Eileen M. O’Reilly,Julio García‐Aguilar,Nicholas D. Socci,Francisco Sánchez-Vega,Jian Carrot‐Zhang,Peter D. Stetson,Ross L. Levine,Charles M. Rudin,Michael F. Berger,Sohrab P. Shah,Deborah Schrag,Pedram Razavi,Kenneth L. Kehl,Bob T. Li,Gregory J. Riely,Nikolaus Schultz,MSK Cancer Data Science Initiative Group,Aaron Lisman,Gaofei Zhao,Ino de Bruijn,Walid K. Chatila,Xiang Li,Aarman Kohli,Darin Moore,Raymond Lim,Tom Pollard,Robert E. Sheridan,Avery Wang,Calla Chennault,Manda Wilson,Hongxin Zhang,Robert Pimienta,Surya Narayana Rangavajhala,Guru Subramanian,J.A. Valverde García,Naveen Rachuri,Kevin Boehm,Mitchell I. Parker,Henry Walch,Subhiksha Nandakumar,Jordan Eichholz,Ayush Kris,Paolo Manca,Xuechun Bai,Tejiri Agbamu,U Justin,Xiao-Jun Bi |
| Citations | 166 |
| DOI | 10.1038/s41586-024-08167-5 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1038/s41586-024-08167-5 |
| OpenAlex ID | https://openalex.org/W4404105438 |
| PMID | 39506116 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Helena A. Yu](https://scholariq.org/researchers/helena-a-yu/)
- [Sohrab P. Shah](https://scholariq.org/researchers/sohrab-p-shah/)
- [Lior Z. Braunstein](https://scholariq.org/researchers/lior-z-braunstein/)
- [Michael F. Berger](https://scholariq.org/researchers/michael-f-berger/)
- [Marc Ladanyi](https://scholariq.org/researchers/marc-ladanyi/)
- [Charles M. Rudin](https://scholariq.org/researchers/charles-m-rudin/)
- [Gregory J. Riely](https://scholariq.org/researchers/gregory-j-riely/)
- [Jorge S. Reis‐Filho](https://scholariq.org/researchers/jorge-s-reis-filho/)

## Paper journal

- [Nature](https://scholariq.org/journals/nature/)

## Paper primary topic

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

## Paper topics

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.