AI/ML-Derived Whole-Genome Predictor Prospectively and Clinically Predicts Survival and Response to Treatment in Brain Cancer

Sri Priya Ponnapalli; Penelope Miron; Kristy L.S. Miskimen; Kristin A. Waite; Nadiya Sosonkina; Sara E. Coppens; Anthony C. Bryan; Estevan P. Kiernan; Huanming Yang; Jay Bowen; Ghunwa A. Nakouzi; Jill S. Barnholtz-Sloan; Andrew E. Sloan; Tiffany R. Hodges; Orly Alter

doi:10.1145/3624062.3624078

AI/ML-Derived Whole-Genome Predictor Prospectively and Clinically Predicts Survival and Response to Treatment in Brain Cancer

Sri Priya Ponnapalli
, Penelope Miron
, Kristy L.S. Miskimen
, Kristin A. Waite
, Nadiya Sosonkina
, Sara E. Coppens
, Anthony C. Bryan
, Estevan P. Kiernan
, Huanming Yang
, Jay Bowen
, Ghunwa A. Nakouzi
, Jill S. Barnholtz-Sloan
, Andrew E. Sloan
, Tiffany R. Hodges
, Orly Alter

University of Utah
Case Western Reserve University
National Institutes of Health
HudsonAlpha Institute for Biotechnology
Nationwide Children’s Hospital
Illumina, Inc.
BGI-Shenzhen
Piedmont Healthcare

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

源语言	英语
主期刊名	Proceedings of 2023 SC Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023
出版商	Association for Computing Machinery
页	117-118
页数	2
ISBN（电子版）	9798400707858
DOI	https://doi.org/10.1145/3624062.3624078
出版状态	已出版 - 12 11月 2023
已对外发布	是
活动	2023 International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023 - Denver, 美国期限: 12 11月 2023 → 17 11月 2023

丛书

姓名	ACM International Conference Proceeding Series

会议

会议	2023 International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023
国家/地区	美国
市	Denver
时期	12/11/23 → 17/11/23

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 3 良好健康与福祉

访问文件

10.1145/3624062.3624078

其它文件与链接

链接到 Scopus 的出版物

引用此

Ponnapalli, S. P., Miron, P., Miskimen, K. L. S., Waite, K. A., Sosonkina, N., Coppens, S. E., Bryan, A. C., Kiernan, E. P., Yang, H., Bowen, J., Nakouzi, G. A., Barnholtz-Sloan, J. S., Sloan, A. E., Hodges, T. R., & Alter, O. (2023). AI/ML-Derived Whole-Genome Predictor Prospectively and Clinically Predicts Survival and Response to Treatment in Brain Cancer. 在 Proceedings of 2023 SC Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023 (页码 117-118). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3624062.3624078

Ponnapalli, Sri Priya ; Miron, Penelope ; Miskimen, Kristy L.S. 等. / AI/ML-Derived Whole-Genome Predictor Prospectively and Clinically Predicts Survival and Response to Treatment in Brain Cancer. Proceedings of 2023 SC Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023. Association for Computing Machinery, 2023. 页码 117-118 (ACM International Conference Proceeding Series).

@inproceedings{3e120b4ed7cc4b3f976a76931f8a025f,

title = "AI/ML-Derived Whole-Genome Predictor Prospectively and Clinically Predicts Survival and Response to Treatment in Brain Cancer",

keywords = "Accurate, Data-Agnostic Algorithms, Eigengene, Fair and Responsible Artificial Intelligence and Machine Learning (AI/ML), Generalizable, Interpretable, Multi-Tensor Comparative Spectral Decompositions, Platform- and Reference Genome-Agnostic Whole-Genome Predictors, Precise, Prospective and Clinical Prediction of a Glioblastoma (GBM) Patient's Outcome, Quantum Mechanics, Retrospective Clinical Trial, Singular Value Decomposition (SVD), and Actionable Models",

author = "Ponnapalli, \{Sri Priya\} and Penelope Miron and Miskimen, \{Kristy L.S.\} and Waite, \{Kristin A.\} and Nadiya Sosonkina and Coppens, \{Sara E.\} and Bryan, \{Anthony C.\} and Kiernan, \{Estevan P.\} and Huanming Yang and Jay Bowen and Nakouzi, \{Ghunwa A.\} and Barnholtz-Sloan, \{Jill S.\} and Sloan, \{Andrew E.\} and Hodges, \{Tiffany R.\} and Orly Alter",

year = "2023",

month = nov,

day = "12",

doi = "10.1145/3624062.3624078",

language = "英语",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

pages = "117--118",

booktitle = "Proceedings of 2023 SC Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023",

note = "2023 International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023 ; Conference date: 12-11-2023 Through 17-11-2023",

}

Ponnapalli, SP, Miron, P, Miskimen, KLS, Waite, KA, Sosonkina, N, Coppens, SE, Bryan, AC, Kiernan, EP, Yang, H, Bowen, J, Nakouzi, GA, Barnholtz-Sloan, JS, Sloan, AE, Hodges, TR & Alter, O 2023, AI/ML-Derived Whole-Genome Predictor Prospectively and Clinically Predicts Survival and Response to Treatment in Brain Cancer. 在 Proceedings of 2023 SC Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023. ACM International Conference Proceeding Series, Association for Computing Machinery, 页码 117-118, 2023 International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023, Denver, 美国, 12/11/23. https://doi.org/10.1145/3624062.3624078

AI/ML-Derived Whole-Genome Predictor Prospectively and Clinically Predicts Survival and Response to Treatment in Brain Cancer. / Ponnapalli, Sri Priya; Miron, Penelope; Miskimen, Kristy L.S. 等.
Proceedings of 2023 SC Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023. Association for Computing Machinery, 2023. 页码 117-118 (ACM International Conference Proceeding Series).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - AI/ML-Derived Whole-Genome Predictor Prospectively and Clinically Predicts Survival and Response to Treatment in Brain Cancer

AU - Ponnapalli, Sri Priya

AU - Miron, Penelope

AU - Miskimen, Kristy L.S.

AU - Waite, Kristin A.

AU - Sosonkina, Nadiya

AU - Coppens, Sara E.

AU - Bryan, Anthony C.

AU - Kiernan, Estevan P.

AU - Yang, Huanming

AU - Bowen, Jay

AU - Nakouzi, Ghunwa A.

AU - Barnholtz-Sloan, Jill S.

AU - Sloan, Andrew E.

AU - Hodges, Tiffany R.

AU - Alter, Orly

PY - 2023/11/12

Y1 - 2023/11/12

KW - Accurate

KW - Data-Agnostic Algorithms

KW - Eigengene

KW - Fair and Responsible Artificial Intelligence and Machine Learning (AI/ML)

KW - Generalizable

KW - Interpretable

KW - Multi-Tensor Comparative Spectral Decompositions

KW - Platform- and Reference Genome-Agnostic Whole-Genome Predictors

KW - Precise

KW - Prospective and Clinical Prediction of a Glioblastoma (GBM) Patient's Outcome

KW - Quantum Mechanics

KW - Retrospective Clinical Trial

KW - Singular Value Decomposition (SVD)

KW - and Actionable Models

UR - https://www.scopus.com/pages/publications/85178152736

U2 - 10.1145/3624062.3624078

DO - 10.1145/3624062.3624078

M3 - 会议稿件

AN - SCOPUS:85178152736

T3 - ACM International Conference Proceeding Series

SP - 117

EP - 118

BT - Proceedings of 2023 SC Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023

PB - Association for Computing Machinery

T2 - 2023 International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023

Y2 - 12 November 2023 through 17 November 2023

ER -

Ponnapalli SP, Miron P, Miskimen KLS, Waite KA, Sosonkina N, Coppens SE 等. AI/ML-Derived Whole-Genome Predictor Prospectively and Clinically Predicts Survival and Response to Treatment in Brain Cancer. 在 Proceedings of 2023 SC Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023. Association for Computing Machinery. 2023. 页码 117-118. (ACM International Conference Proceeding Series). doi: 10.1145/3624062.3624078