Pearson Lab

Papers

Recent & Selected Publications

1: Howard FM, Pearson AT. Prognosis and Treatment of Non-Small Cell Lung Cancer in the Age of Deep Learning. JAMA Netw Open. 2020 Jun 1;3(6):e206368. doi: 10.1001/jamanetworkopen.2020.6368. PMID: 32492160.

2: Kochanny SE, Pearson AT. Academics as leaders in the cancer artificial intelligence revolution. Cancer. 2021 Mar 1;127(5):664-671. doi: 10.1002/cncr.33284. Epub 2020 Oct 29. PMID: 33119903.

3: Howard FM, Kochanny S, Koshy M, Spiotto M, Pearson AT. Machine Learning- Guided Adjuvant Treatment of Head and Neck Cancer. JAMA Netw Open. 2020 Nov 2;3(11):e2025881. doi: 10.1001/jamanetworkopen.2020.25881. PMID: 33211108; PMCID: PMC7677764.

4: Kacew AJ, Strohbehn GW, Saulsberry L, Laiteerapong N, Cipriani NA, Kather JN, Pearson AT. Artificial Intelligence Can Cut Costs While Maintaining Accuracy in Colorectal Cancer Genotyping. Front Oncol. 2021 Jun 8;11:630953. doi: 10.3389/fonc.2021.630953. PMID: 34168975; PMCID: PMC8217761.

5: Dolezal JM, Trzcinska A, Liao CY, Kochanny S, Blair E, Agrawal N, Keutgen XM, Angelos P, Cipriani NA, Pearson AT. Deep learning prediction of BRAF-RAS gene expression signature identifies noninvasive follicular thyroid neoplasms with papillary-like nuclear features. Mod Pathol. 2021 May;34(5):862-874. doi: 10.1038/s41379-020-00724-3. Epub 2020 Dec 10. PMID: 33299111; PMCID: PMC8064913.

6: Howard FM, Dolezal J, Kochanny S, Schulte J, Chen H, Heij L, Huo D, Nanda R, Olopade OI, Kather JN, Cipriani N, Grossman RL, Pearson AT. The impact of site- specific digital histology signatures on deep learning model accuracy and bias. Nat Commun. 2021 Jul 20;12(1):4423. doi: 10.1038/s41467-021-24698-1. PMID: 34285218; PMCID: PMC8292530.

7: Pearson AT. Current and future uses of digital pathology in oncology. Clin Adv Hematol Oncol. 2021 Aug;19(8):508-510. PMID: 34411070.

8: Nair V, Auger S, Kochanny S, Howard FM, Ginat D, Pasternak-Wise O, Juloori A, Koshy M, Izumchenko E, Agrawal N, Rosenberg A, Vokes EE, Skandari MR, Pearson AT. Development and Validation of a Decision Analytical Model for Posttreatment Surveillance for Patients With Oropharyngeal Carcinoma. JAMA Netw Open. 2022 Apr 1;5(4):e227240. doi: 10.1001/jamanetworkopen.2022.7240. PMID: 35416988; PMCID: PMC9008506.

9: Hieromnimon HM, Pearson AT. Ovarian cancer through a multi-modal lens. Nat Cancer. 2022 Jun;3(6):662-664. doi: 10.1038/s43018-022-00397-8. PMID: 35764744.

10: Dolezal JM, Srisuwananukorn A, Karpeyev D, Ramesh S, Kochanny S, Cody B, Mansfield AS, Rakshit S, Bansal R, Bois MC, Bungum AO, Schulte JJ, Vokes EE, Garassino MC, Husain AN, Pearson AT. Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology. Nat Commun. 2022 Nov 2;13(1):6572. doi: 10.1038/s41467-022-34025-x. PMID: 36323656; PMCID: PMC9630455.

11: Howard FM, Dolezal J, Kochanny S, Khramtsova G, Vickery J, Srisuwananukorn A, Woodard A, Chen N, Nanda R, Perou CM, Olopade OI, Huo D, Pearson AT. Integration of clinical features and deep learning on pathology for the prediction of breast cancer recurrence assays and risk of recurrence. NPJ Breast Cancer. 2023 Apr 14;9(1):25. doi: 10.1038/s41523-023-00530-5. PMID: 37059742; PMCID: PMC10104799.

12: Ramesh S, Dolezal JM, Pearson AT. Applications of Deep Learning in Endocrine Neoplasms. Surg Pathol Clin. 2023 Mar;16(1):167-176. doi: 10.1016/j.path.2022.09.014. Epub 2022 Dec 12. PMID: 36739164.

13: Srisuwananukorn A, Salama ME, Pearson AT. Deep learning applications in visual data for benign and malignant hematologic conditions: a systematic review and visual glossary. Haematologica. 2023 Aug 1;108(8):1993-2010. doi: 10.3324/haematol.2021.280209. PMID: 36700396; PMCID: PMC10388280.

14: Howard FM, Kather JN, Pearson AT. Multimodal deep learning: An improvement in prognostication or a reflection of batch effect? Cancer Cell. 2023 Jan 9;41(1):5-6. doi: 10.1016/j.ccell.2022.10.025. Epub 2022 Nov 10. PMID: 36368319.

15: Gao CA, Howard FM, Markov NS, Dyer EC, Ramesh S, Luo Y, Pearson AT. Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers. NPJ Digit Med. 2023 Apr 26;6(1):75. doi: 10.1038/s41746-023-00819-6. PMID: 37100871; PMCID: PMC10133283.

16: Dolezal JM, Wolk R, Hieromnimon HM, Howard FM, Srisuwananukorn A, Karpeyev D, Ramesh S, Kochanny S, Kwon JW, Agni M, Simon RC, Desai C, Kherallah R, Nguyen TD, Schulte JJ, Cole K, Khramtsova G, Garassino MC, Husain AN, Li H, Grossman R, Cipriani NA, Pearson AT. Deep learning generates synthetic cancer histology for explainability and education. NPJ Precis Oncol. 2023 May 29;7(1):49. doi: 10.1038/s41698-023-00399-4. PMID: 37248379; PMCID: PMC10227067.

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