Year |
Citation |
Score |
2020 |
Putcha G, Liu T, Ariazi E, Bertin M, Drake A, Dzamba M, Hogan G, Kothen-Hill S, Liao J, Li K, Mahajan S, Palaniappan K, Sansanwal P, John JS, Ulz P, et al. Blood-based detection of early-stage colorectal cancer using multiomics and machine learning. Journal of Clinical Oncology. 38: 66-66. DOI: 10.1200/Jco.2020.38.4_Suppl.66 |
0.308 |
|
2020 |
Vallania F, Warsinske H, Ulz P, Liu T, Assayag K, Palaniappan KK, Bailey M, Wang I, Weinberg DE, Ennis R, Lin CJ, Martin A, Krunic N. Abstract 2433: Multiomic plasma profiling identifies potential signatures of disease progression in early-stage NSCLC Cancer Research. 80: 2433-2433. DOI: 10.1158/1538-7445.Am2020-2433 |
0.333 |
|
2019 |
Wan N, Weinberg D, Liu TY, Niehaus K, Ariazi EA, Delubac D, Kannan A, White B, Bailey M, Bertin M, Boley N, Bowen D, Cregg J, Drake AM, Ennis R, et al. Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA. Bmc Cancer. 19: 832. PMID 31443703 DOI: 10.1186/S12885-019-6003-8 |
0.382 |
|
2019 |
Wan N, Weinberg D, Liu T, Niehaus K, Delubac D, Kannan A, White B, Ariazi EA, Bailey M, Bertin M, Boley N, Bowen D, Cregg J, Drake A, Ennis R, et al. Su1658 – Machine Learning Enables Detection of Early-Stage Colorectal Cancer by Whole-Genome Sequencing of Plasma Cell-Free Dna Gastroenterology. 156. DOI: 10.1016/S0016-5085(19)38396-9 |
0.385 |
|
2018 |
Niehous K, Wan N, White B, Kannan A, Gafni E, Liu T, Haque I, Putcha G. Early Stage Colorectal Cancer Detection Using Artificial Intelligence and Whole-Genome Sequencing of Cell-Free DNA in a Retrospective Cohort of 1,040 Patients: 307 The American Journal of Gastroenterology. 113. DOI: 10.14309/00000434-201810001-00307 |
0.367 |
|
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