January 2025
1. SAMUELI B, Al-Ahmadie H, Chen YB, Gopalan A, et al
   Histopathologic and Molecular Characterization of IDH-Mutant Prostatic Adenocarcinoma.
   Mod Pathol. 2025;38:100616.
   

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   November 2024
2. FARYNA K, Tessier L, Retamero J, Bonthu S, et al
   Evaluation of Artificial Intelligence-Based Gleason Grading Algorithms "in the Wild".
   Mod Pathol. 2024;37:100563.
   

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   July 2024
3. WONG PF, McNeil C, Wang Y, Paparian J, et al
   Clinical-Grade Validation of an Autofluorescence Virtual Staining System with Human Experts and a Deep Learning System for Prostate Cancer.
   Mod Pathol. 2024 Jul 26:100573. doi: 10.1016/j.modpat.2024.100573.
   

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4. HARDER C, Pryalukhin A, Quaas A, Eich ML, et al
   Enhancing Prostate Cancer Diagnosis: AI-Driven Virtual Biopsy for Optimal MRI-Targeted Biopsy Approach and Gleason Grading Strategy.
   Mod Pathol. 2024 Jul 17:100564. doi: 10.1016/j.modpat.2024.100564.
   

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   April 2024
5. PRENDEVILLE S, Kaur H, Ansari S, Alqaqa S, et al
   Somatic Tumor Testing in Prostate Cancer: Experience of a Tertiary-Care Center Including Pathologist-Driven Reflex Testing of Localized Tumors at Diagnosis.
   Mod Pathol. 2024 Apr 6:100489. doi: 10.1016/j.modpat.2024.100489.
   

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6. FERRERO A, Ghelichkhan E, Manoochehri H, Ho MM, et al
   HistoEM: A Pathologist-Guided and Explainable Workflow Using Histogram Embedding for Gland Classification.
   Mod Pathol. 2024;37:100447.
   

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   March 2024
7. IRMAKCI I, Nateghi R, Zhou R, Vescovo M, et al
   Tissue Contamination Challenges the Credibility of Machine Learning Models in Real World Digital Pathology.
   Mod Pathol. 2024;37:100422.
   

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   January 2024
8. MIYAMOTO H, Teramoto Y, Numbere N, Wang Y, et al
   Prostate cancer risk stratification by simple scoring of the current pT3 lesions: A proposal for a new pathologic T-staging system.
   Mod Pathol. 2024 Jan 22:100429. doi: 10.1016/j.modpat.2024.100429.
   

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