Artificial Intelligence Can Cut Costs While Maintaining Accuracy in Colorectal Cancer Genotyping is a research paper published in Frontiers in Oncology (2021). On theSindex it has a DataRank of 0. It has been cited 58 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph β no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full β never from an abstract alone.
National Institutes of Health
Grant: 5K08DE026500-03
A reasoned approach to combination therapy development in head and neck cancer
National Institutes of Health
Grant: 5U01CA243075-03
Multiscale Computational Models Guided By Emerging Cellular Dynamics Quantification For Predicting Optimum Immune Checkpoint And Targeted Therapy Schedules
National Institutes of Health
Grant: 5R01MD013420-03
Predicting and Reducing Future Health Disparities for U.S. Adults with Diabetes
National Institutes of Health
Grant: 5P30DK092949-09
Chicago Center for Diabetes Translation Research
NIDCR NIH HHS
Grant: K08 DE026500
NIDDK NIH HHS
Grant: P30 DK092949
FWCI
5.83
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals
Artificial Intelligence Can Cut Costs While Maintaining Accuracy in Colorectal Cancer Genotyping