Yvonne A. Evrard

Leidos (United States) — United States

Medicine · Health Sciences

23h-index3.6kcitations262works0.32yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(98), AI in cancer detection(83), Cancer Genomics and Diagnostics(79), Cancer Cells and Metastasis(21), Renal cell carcinoma treatment(18)

Publications260 total

Abstract A005: MGMT as a pan-cancer biomarker in temozolomide preclinical studies using models from the NCI PDMR
Molecular Cancer Therapeutics·2025
Abstract C068: HPV+ and HPV- Head and Neck Cancer Patient-derived Models in the NCI Patient-Derived Models Repository
Molecular Cancer Therapeutics·2025
Abstract C066: Molecular subtyping of NCI PDMR models using gene expression profiles
Molecular Cancer Therapeutics·2025
Preclinical NCI-MPACT: prospective modeling of the mutation-based NCI-MPACT clinical trial therapeutic strategy in patient-derived xenograft models
Frontiers in Oncology·2025· 1 citedOpen Access
Sa2066: OPTIMAP-GI: GENIE-BASED AI ALGORITHM TO ASSESS TUMOR PURITY FOR WHOLE EXOME SEQUENCING.
Gastroenterology·2025
Abstract 489: Unveiling markers of response to ATR inhibitor and TMZ combinations in rare tumor PDXs
Cancer Research·2025
Abstract 5078: Single-cell characterization of a carcinosarcoma patient-derived xenograft model
Cancer Research·2025
Data imbalance in drug response prediction: multi-objective optimization approach in deep learning setting
Briefings in Bioinformatics·2025· 2 citedOpen Access
STRprofiler: efficient comparisons of short tandem repeat profiles for biomedical model authentication
Bioinformatics·2024· 1 citedOpen Access
The pro-oncogenic noncanonical activity of a RAS•GTP:RanGAP1 complex facilitates nuclear protein export
Nature Cancer·2024· 9 citedOpen Access
Figure S8 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2024Open Access
Figure S14 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2024Open Access
Data from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2024Open Access
Figure S7 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2024Open Access
Figure S2 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2024Open Access
Figure S15 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2024Open Access
Figure S13 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2024Open Access
Figure S3 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2024Open Access
Figure S5 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2024Open Access
Figure S12 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2024Open Access
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Frequent Co-authors

James H. Doroshow(28), Rick Stevens(14), Thomas Brettin(13), Fangfang Xia(12), Alexander Partin(12), Maulik Shukla(12), Yitan Zhu(9), Hyunseung Yoo(9), Alana L. Welm(8), Anuj Srivastava(7), Min Jin Ha(7), Michael T. Lewis(7), Funda Meric‐Bernstam(7), Li Ding(7), Jeffrey A. Moscow(7), Jeffrey H. Chuang(7), Michael W. Lloyd(6), Jack A. Roth(6), Michael A. Davies(6), Shunqiang Li(6)