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Summer Reading Round-Up

We present to you the papers we read this summer and found impactful.

Digital Pathology/Artificial Intelligence

Integrated digital pathology at scale: A solution for clinical diagnostics and cancer research at a large academic medical center. Schüffler, et al, Journal of the American Medical Informatics Association, July 2021, The impact of site-specific digital histology signatures on deep learning model accuracy and bias. Howard et al, Nature communications, July 2021, Weakly supervised learning on unannotated hematoxylin and eosin stained slides predicts BRAF mutation in thyroid cancer with high accuracy. Anand, et al, Journal of Pathology, August 2021, Artificial Intelligence–Based Screening for Mycobacteria in Whole-Slide Images of Tissue Samples. Pantanowitz, et al, American Journal of Clinical Pathology, July 2021, Digital pathology in academia: Implementation and impact. Jones-Hall, Lab Anim, August 2021,

Next-gen Testing

SP142 PD-L1 Scoring Shows High Interobserver and Intraobserver Agreement in Triple-negative Breast Carcinoma But Overall Low Percentage Agreement With Other PD-L1 Clones SP263 and 22C3. Pang, et al, The American Journal of Surgical Pathology, August 2021, Characterization of Tumor-immune Microenvironment by High-throughput Image Analysis of CD8 Immunohistochemistry Combined With Modified Masson’s Trichrome. Havnar, et al, Journal of Histochemistry & Cytochemistry. August 2021,

COVID-19 Pathology

Histopathological features of multiorgan percutaneous tissue core biopsy in patients with COVID-19. Wang, et al, Journal of Clinical Pathology, 2021: 74, Clinicopathologic Findings in COVID-19-Associated Ischemic Enterocolitis. Zhang, et al, Histopathology, July 2021,

Pathologist Pipeline/Pathology Without Borders

Global Health Education in Pathology Residency: Establishing a Novel Resident Clinical Elective in Quetzaltenango, Guatemala. Volaric, et al, American Journal of Clinical Pathology, September 2021, Highlights and Perspectives From a Collaborative Global Health Pathology Experience in Trinidad and Tobago. Viswanathan, et al, American Journal of Clinical Pathology, September 2021, Measuring the Efficacy of Pathology Career Recruitment Strategies in US Medical Students. Hernandez, et al, Arch Pathol Lab Med, July 2021, Effectiveness of a Cloud-Based Telepathology System in China: Large-Sample Observational Study. He, et al, J Med Internet Res, July 2021, Continuing Undergraduate Pathology Medical Education in the Coronavirus Disease 2019 (COVID-19) Global Pandemic: The Johns Hopkins Virtual Surgical Pathology Clinical Elective. White, et al, Arch Pathol Lab Med, March 2021,

Built on the vision of better patient outcomes, Instapath was founded in 2017 by engineers and scientists to enable patients to immediately know their cancer diagnosis. Our team made it our mission to develop fast and easy digital pathology technology so diagnosis can be made in minutes instead of days. To learn more about Instapath and our technology, visit or contact us at

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