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The Application, Challenges, and Advancement Toward Regulatory Acceptance of Digital Toxicologic Pathology: Results of the 7th ESTP International Expert Workshop (September 20-21, 2019).
Schumacher VL, Aeffner F, Barale-Thomas E, Botteron C, Carter J, Elies L, Engelhardt JA, Fant P, Forest T, Hall P, Hildebrand D, Klopfleisch R, Lucotte T, Marxfeld H, Mckinney L, Moulin P, Neyens E, Palazzi X, Piton A, Riccardi E, Roth DR, Rousselle S, Vidal JD, Williams B. Schumacher VL, et al. Among authors: forest t. Toxicol Pathol. 2021 Jun;49(4):720-737. doi: 10.1177/0192623320975841. Epub 2020 Dec 10. Toxicol Pathol. 2021. PMID: 33297858
Scientific and Regulatory Policy Committee Brief Communication: 2019 Survey on Use of Digital Histopathology Systems in Nonclinical Toxicology Studies.
Forest T, Aeffner F, Bangari DS, Bawa B, Carter J, Fikes J, High WB, Hayashi SM, Jacobsen M, McKinney L, Rudmann D, Steinbach T, Schumacher V, Turner OC, Ward JM, Willson CJ. Forest T, et al. Toxicol Pathol. 2022 Apr;50(3):397-401. doi: 10.1177/01926233221084621. Epub 2022 Mar 23. Toxicol Pathol. 2022. PMID: 35321602
Scientific and Regulatory Policy Committee Points to Consider: Primary Digital Histopathology Evaluation and Peer Review for Good Laboratory Practice (GLP) Nonclinical Toxicology Studies.
Forest T, Aeffner F, Bangari DS, Bawa B, Carter J, Fikes J, High W, Hayashi SM, Jacobsen M, McKinney L, Rudmann D, Steinbach T, Schumacher V, Turner O, Ward JM, Willson CJ. Forest T, et al. Toxicol Pathol. 2022 Jun;50(4):531-543. doi: 10.1177/01926233221099273. Epub 2022 Jun 3. Toxicol Pathol. 2022. PMID: 35657014
IT/QA and Regulatory Aspects of Digital Pathology: Results of the 8th ESTP International Workshop.
Boisclair J, Bawa B, Barale-Thomas E, Bertrand L, Carter J, Crossland R, Dorn C, Forest T, Grote S, Gilis A, Hildebrand D, Knight B, Laurent S, Marxfeld HA, Østergaard SJ, Roguet T, Schlueter T, Schumacher V, Spehar R, Varady W, Zeugin C. Boisclair J, et al. Among authors: forest t. Toxicol Pathol. 2022 Aug;50(6):793-807. doi: 10.1177/01926233221113275. Epub 2022 Aug 11. Toxicol Pathol. 2022. PMID: 35950710
Society of Toxicologic Pathology Digital Pathology and Image Analysis Special Interest Group Article*: Opinion on the Application of Artificial Intelligence and Machine Learning to Digital Toxicologic Pathology.
Turner OC, Aeffner F, Bangari DS, High W, Knight B, Forest T, Cossic B, Himmel LE, Rudmann DG, Bawa B, Muthuswamy A, Aina OH, Edmondson EF, Saravanan C, Brown DL, Sing T, Sebastian MM. Turner OC, et al. Among authors: forest t. Toxicol Pathol. 2020 Feb;48(2):277-294. doi: 10.1177/0192623319881401. Epub 2019 Oct 23. Toxicol Pathol. 2020. PMID: 31645203 Review.
A panel of urinary biomarkers to monitor reversibility of renal injury and a serum marker with improved potential to assess renal function.
Ozer JS, Dieterle F, Troth S, Perentes E, Cordier A, Verdes P, Staedtler F, Mahl A, Grenet O, Roth DR, Wahl D, Legay F, Holder D, Erdos Z, Vlasakova K, Jin H, Yu Y, Muniappa N, Forest T, Clouse HK, Reynolds S, Bailey WJ, Thudium DT, Topper MJ, Skopek TR, Sina JF, Glaab WE, Vonderscher J, Maurer G, Chibout SD, Sistare FD, Gerhold DL. Ozer JS, et al. Among authors: forest t. Nat Biotechnol. 2010 May;28(5):486-94. doi: 10.1038/nbt.1627. Nat Biotechnol. 2010. PMID: 20458319
87 results