Article in Cancer discovery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
19 authors.
Felicia Gomez *Department of Medicine, Washington University School of Medicine, St Louis, Missouri.ORCID 0000-0003-4884-7510
Arpad M Danos *Department of Medicine, Washington University School of Medicine, St Louis, Missouri.ORCID 0000-0001-9815-2288
Guilherme Del FiolDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah.ORCID 0000-0001-9954-6799
Anant MadabhushiDepartment of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia.ORCID 0000-0002-5741-0399
Pallavi TiwariDepartment of Radiology and Biomedical Engineering, University of Wisconsin, Madison, Wisconsin.ORCID 0000-0001-9477-4856
Joshua F McMichaelDepartment of Medicine, Washington University School of Medicine, St Louis, Missouri.ORCID 0000-0002-0197-2245
Spyridon BakasDepartments of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana.ORCID 0000-0001-8734-6482
Jiang BianDepartment of Health Outcomes & Biomedical Informatics, University of Florida, Gainesville, Florida.ORCID 0000-0002-2238-5429
Christos DavatzikosDepartment of Radiology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania.ORCID 0000-0002-1025-8561
Elana J FertigDepartment of Oncology and Applied Mathematics & Statistics, Johns Hopkins Medicine, Baltimore, Massachusetts.ORCID 0000-0003-3204-342X
Jayashree Kalpathy-CramerDepartment of Ophthalmology, University of Colorado School of Medicine, Aurora, Colorado.ORCID 0000-0001-8906-9618
Johanna KenneyTechnology Research Advocacy Partnership, National Cancer Institute, Bethesda, Maryland.ORCID 0009-0002-0585-4016
Guergana K SavovaDepartment of Pediatrics, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-5887-200X
Meliha YetisgenDepartment of Biomedical and Health Informatics, University of Washington, Seattle, Western Australia.ORCID 0000-0001-9919-9811
Eliezer M Van AllenDepartment of Medicine, Dana-Farber Cancer Institute, Harvard School of Medicine, Boston, Massachusetts.ORCID 0000-0002-0201-4444
Jeremy L WarnerDepartments of Medicine and Biostatistics, Brown University, Providence, Rhode Island.ORCID 0000-0002-2851-7242
Fred PriorDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas.ORCID 0000-0002-6314-5683
Malachi GriffithDepartment of Medicine, Washington University School of Medicine, St Louis, Missouri.ORCID 0000-0002-6388-446X
Obi L GriffithDepartment of Medicine, Washington University School of Medicine, St Louis, Missouri.ORCID 0000-0002-0843-4271
Funding
Cancer Deep Phenotyping from Electronic Medical RecordsU24CA248010 · NCI · BOSTON CHILDREN'S HOSPITAL · PI HARRY S HOCHHEISER, GUERGANA K. SAVOVA · 2020 to 2026
$6.1M
Standardized and Genome-Wide Clinical Interpretation of Complex Genotypes for Cancer Precision MedicineU24CA237719 · NCI · WASHINGTON UNIVERSITY · PI GRIFFITH, OBI L. · 2019 to 2023
$3.8M
GARDE: Scalable Clinical Decision Support for Individualized Cancer Risk ManagementU24CA274582 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI GUILHERME DEL FIOL, Kensaku Kawamoto · 2023 to 2026
$3.3M
Radiomic spatial maps for identifying viable tumor extent on multi-parametric MRI for GlioblastomaR01CA277728 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Manmeet Ahluwalia, Pallavi Tiwari · 2024 to 2026
$3.0M
Quantitative imaging phenotypic classifier for distinguishing radiation effects from tumor recurrence in Glioblastoma .R01CA264017 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Manmeet Ahluwalia, Pallavi Tiwari · 2022 to 2026
$2.9M
Privacy-Aware Federated Learning for Breast Cancer Risk AssessmentU24CA279629 · NCI · INDIANA UNIVERSITY INDIANAPOLIS · PI Spyridon Bakas · 2023 to 2026
$2.9M
Text Mining and Large Language Models for AI-Driven Evidence-Based Functional Annotation of Clinical VariantsU24CA275783 · NCI · WASHINGTON UNIVERSITY · PI Malachi Griffith, Obi L. Griffith · 2023 to 2026
$2.6M
Deep Sequencing of Relapse and Refractory Hodgkin Lymphoma Genomes: A Study of Tumor Biology and EvolutionK22CA266743 · NCI · WASHINGTON UNIVERSITY · PI GOMEZ, FELICIA · 2023 to 2025
People diagnosed with cancer and their formal and informal caregivers are increasingly faced with a deluge of complex information, thanks to rapid advancements in the type and volume of diagnostic, prognostic, and treatment data. This commentary discusses the opportunities and challenges that the society faces as we integrate large volumes of data into regular cancer care.
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
A New Era of Data-Driven Cancer Research and Care: Opportunities and Challenges. · full record | OpenQuestion