Christopher Pinard
Adjunct Professor
Dr. Christopher Pinard, DVM DVSc DACVIM (Oncology)
Medical Oncologist. Adjunct Professor, Department of Clinical Studies, Ontario Veterinary College, University of Guelph. Affiliate Faculty, Centre for Advancing Responsible & Ethical Artificial Intelligence (CARE-AI). Research Fellow, Sunnybrook Hospital & Research Institute. Co-founder, ANI.ML Health Inc.
Profile
Dr. Pinard is a medical oncologist in Toronto, the CEO and co-founder of ANI.ML Health Inc. and an adjunct professor in the Department of Clinical Studies at the University of Guelph with an interest in comparative computational oncology. His research focus is on the development of computational platforms for clinical biomarkers in canine and feline cancers using novel artificial intelligence and machine learning methods that can be utilized in comparative research. He continues to bridge the use of technology, including spatial computing, 3D modelling, and artificial intelligence to improve patient care. He has co-authored several publications including and incorporating AI-based frameworks for clinical evaluation and discovery in cancer.
Dr. Pinard is a member of the Temerty Centre for AI Research and Education in Medicine (T- CAIREM), a member of the International Immuno-Oncology Biomarker Working Group and is an affiliated faculty with the Centre for Advancing Responsible & Ethical Artificial Intelligence (CARE-AI). He is a founding member of the Comparative Oncology Artificial Intelligence Working Group (COAIG). Dr. Pinard is the co-founder of a next-generation technology company (ANI.ML Health) that aims to improve the lives of clinicians and their patients through the incorporation of rigorously evaluated AI and spatial computing technologies. He has sat on the Morris Animal Foundation Osteosarcoma Scientific Advisory Board and is currently a part of the American College of Veterinary Internal Medicine’s (ACVIM) AI Task Force. He is funded for active clinical research in next-generation technologies and artificial intelligence in medicine.
Research Interests
Dr. Christopher Pinard’s research primarily focuses on the intersection of artificial intelligence and comparative oncology. His work is dedicated to developing advanced computational platforms for identifying and analyzing clinical biomarkers in canine and feline cancers, as well as creating effective computational tools for clinicians to improve patient and clinically-relevant outcomes. Leveraging AI and machine learning, Dr. Pinard aims to enhance the precision and efficacy of comparative oncology research, with the goal of improving patient outcomes through innovative diagnostic and therapeutic approaches. His research also explores the integration of spatial computing and 3D modeling techniques, further advancing the capabilities of AI-driven tools in veterinary and translational medicine. His work also emphasizes the critical need for robust AI frameworks in clinical practice.
Lab
Selected Publications:
1. Shiner A, Kiss A, Saednia K, Jerzak KJ, Gandhi S, Lu FI, Emmenegger U, Fleshner L,
Lagree A, Alera MA, Bielecki M, Law E, Law B, Kam D, Klein J, Pinard CJ, Shenfield A, Sadeghi-Naini A, Tran WT. Predicting Patterns of Distant Metastasis in Breast Cancer Patients following Local Regional Therapy Using Machine Learning. Genes (Basel). 2023 Sep 7;14(9):1768. doi: 10.3390/genes14091768. PMID: 37761908; PMCID: PMC10531341.
2. Thagaard J, Broeckx G, Page DB, Jahangir CA, Verbandt S, Kos Z, Gupta R, Khiroya R, Abduljabbar K, Acosta Haab G, Acs B, Akturk G, Almeida JS, Alvarado-Cabrero I, Amgad M, Azmoudeh-Ardalan F, Badve S, Baharun NB, Balslev E, Bellolio ER, Bheemaraju V, Blenman KR, Botinelly Mendonça Fujimoto L, Bouchmaa N, Burgues O, Chardas A, Chon U Cheang M, Ciompi F, Cooper LA, Coosemans A, Corredor G, Dahl AB, Dantas Portela FL, Deman F, Demaria S, Doré Hansen J, Dudgeon SN, Ebstrup T, Elghazawy M, Fernandez-Martín C, Fox SB, Gallagher WM, Giltnane JM, Gnjatic S, Gonzalez- Ericsson PI, Grigoriadis A, Halama N, Hanna MG, Harbhajanka A, Hart SN, Hartman J, Hauberg S, Hewitt S, Hida AI, Horlings HM, Husain Z, Hytopoulos E, Irshad S, Janssen EA, Kahila M, Kataoka TR, Kawaguchi K, Kharidehal D, Khramtsov AI, Kiraz U, Kirtani P, Kodach LL, Korski K, Kovács A, Laenkholm AV, Lang-Schwarz C, Larsimont D, Lennerz JK, Lerousseau M, Li X, Ly A, Madabhushi A, Maley SK, Manur Narasimhamurthy V, Marks DK, McDonald ES, Mehrotra R, Michiels S, Minhas FUAA, Mittal S, Moore DA, Mushtaq S, Nighat H, Papathomas T, Penault-Llorca F, Perera RD, Pinard CJ, Pinto- Cardenas JC, Pruneri G, Pusztai L, Rahman A, Rajpoot NM, Rapoport BL, Rau TT, Reis- Filho JS, Ribeiro JM, Rimm D, Roslind A, Vincent-Salomon A, Salto-Tellez M, Saltz J, Sayed S, Scott E, Siziopikou KP, Sotiriou C, Stenzinger A, Sughayer MA, Sur D, Fineberg S, Symmans F, Tanaka S, Taxter T, Tejpar S, Teuwen J, Thompson EA, Tramm T, Tran WT, van der Laak J, van Diest PJ, Verghese GE, Viale G, Vieth M, Wahab N, Walter T, Waumans Y, Wen HY, Yang W, Yuan Y, Zin RM, Adams S, Bartlett J, Loibl S, Denkert C, Savas P, Loi S, Salgado R, Specht Stovgaard E. Pitfalls in machine learning- based assessment of tumor-infiltrating lymphocytes in breast cancer: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer. J Pathol. 2023 Aug;260(5):498-513. doi: 10.1002/path.6155. Epub 2023 Aug 23. PMID: 37608772; PMCID: PMC10518802.
3. Page DB, Broeckx G, Jahangir CA, Verbandt S, Gupta RR, Thagaard J, Khiroya R, Kos Z, Abduljabbar K, Acosta Haab G, Acs B, Akturk G, Almeida JS, Alvarado-Cabrero I, Azmoudeh-Ardalan F, Badve S, Baharun NB, Bellolio ER, Bheemaraju V, Blenman KR, Botinelly Mendonça Fujimoto L, Bouchmaa N, Burgues O, Cheang MCU, Ciompi F, Cooper LA, Coosemans A, Corredor G, Dantas Portela FL, Deman F, Demaria S, Dudgeon SN, Elghazawy M, Ely S, Fernandez-Martín C, Fineberg S, Fox SB, Gallagher WM, Giltnane JM, Gnjatic S, Gonzalez-Ericsson PI, Grigoriadis A, Halama N, Hanna MG, Harbhajanka A, Hardas A, Hart SN, Hartman J, Hewitt S, Hida AI, Horlings HM,
Husain Z, Hytopoulos E, Irshad S, Janssen EA, Kahila M, Kataoka TR, Kawaguchi K, Kharidehal D, Khramtsov AI, Kiraz U, Kirtani P, Kodach LL, Korski K, Kovács A, Laenkholm AV, Lang-Schwarz C, Larsimont D, Lennerz JK, Lerousseau M, Li X, Ly A, Madabhushi A, Maley SK, Manur Narasimhamurthy V, Marks DK, McDonald ES, Mehrotra R, Michiels S, Minhas FUAA, Mittal S, Moore DA, Mushtaq S, Nighat H, Papathomas T, Penault-Llorca F, Perera RD, Pinard CJ, Pinto-Cardenas JC, Pruneri G, Pusztai L, Rahman A, Rajpoot NM, Rapoport BL, Rau TT, Reis-Filho JS, Ribeiro JM, Rimm D, Vincent-Salomon A, Salto-Tellez M, Saltz J, Sayed S, Siziopikou KP, Sotiriou C, Stenzinger A, Sughayer MA, Sur D, Symmans F, Tanaka S, Taxter T, Tejpar S, Teuwen J, Thompson EA, Tramm T, Tran WT, van der Laak J, van Diest PJ, Verghese GE, Viale G, Vieth M, Wahab N, Walter T, Waumans Y, Wen HY, Yang W, Yuan Y, Adams S, Bartlett JMS, Loibl S, Denkert C, Savas P, Loi S, Salgado R, Specht Stovgaard E. Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer. J Pathol. 2023 Aug;260(5):514-532. doi: 10.1002/path.6165. Epub 2023 Aug 23. PMID: 37608771.
4. Pinard CJ on behalf of the International Immuno-Oncology Biomarker Working Group; Lagree, A, Lu FI, Klein J, Oblak ML, Salgado R, Cardenas JC, Brunetti B, Muscatello LV, Sarli G, Foschini MP, Hardas A, Castillo SP, AbdulJabbar K, Yuan Y, Moore DA, Tran WT. (2022). Comparative Evaluation of Tumor-Infiltrating Lymphocytes in Companion Animals: Immuno-Oncology as a Relevant Translational Model for Cancer Therapy. MDPI Cancers. http://dx.doi.org/https://doi.org/10.3390/cancers14205008
5. Pinard CJ, Hocker SE, Poon A, Inkol J, Matsuyama A, Wood RD, Wood GA, Woods JP, Mutsaers AJ. (2022). Evaluation of PD-1 and PD-L1 expression on canine urothelial carcinoma cell lines.Vet Immunology and
Immunopathology. http://dx.doi.org/10.1016/j.vetimm.2021.110367
6. Pinard CJ, Stegelmeier AA, Bridle BW, Mutsaers AJ, Wood RD, Wood GA, Woods JP, Hocker SE. (2021). Evaluation of lymphocyte-specific programmed cell death protein 1 receptor expression and cytokines in blood and urine in canine urothelial carcinoma patients. Veterinary and Comparative Oncology. http://dx.doi.org/10.1111/vco.12788
7. Laliberte SM, Poirier VJ, Pinard CJ, Hocker SE, Foster RA. (2021). A retrospective comparison of first and second opinion histopathology with patient outcomes in veterinary oncology cases (2011-2019). Veterinary and Comparative
Oncology. http://dx.doi.org/10.1111/vco.12762
8. Pinard C, Ludwig L, Egan R, Tatiersky L, Brooks M, Richardson D, Hocker SE, Bienzle D. (2021). Primary bone marrow T-cell lymphoma in a Golden Retriever. Veterinary Clinical Pathology. 50(1): 142-150. http://dx.doi.org/10.1111/vcp.13009
9. Poirier VJ, Koh E, Darko J, Fleck A, Pinard C, Vail DM. (2021). Patterns of local residual disease and local failure after intensity modulated/image guided radiation therapy for sinonasal tumors in dogs. Journal of Veterinary Internal Medicine. 35(2): 1062-
1072. http://dx.doi.org/10.1111/jvim.16076
10. Hart E, Singh A, Thomson CB, Appleby R, Richardson D, Hocker SE, Bernard S, Pinard C. (2021). Outcomes after transperitoneal laparoscopic ureteronephrectomy for the treatment of primary renal neoplasia in seven dogs. Veterinary
Surgery. http://dx.doi.org/10.1111/vsu.13675
11. Pinard CJ, Hocker SE, Weishaar KM. (2020). Clinical outcome in 23 dogs with exocrine pancreatic carcinoma. Veterinary and Comparative Oncology. 19(1): 109-
114. http://dx.doi.org/10.1111/vco.12645
12. Pinard C, Cuq B, Gibson T, Brisson B, Plattner B, Lillie B, Bienzle D, Brouwer E, Gottstein B, and Peregrine A. (2019). Intolerance of albendazole therapy and failure to control hepatic alveolar echinococcosis in a dog in southern Ontario. Canadian Veterinary Journal. 60(10): 1099-1103.
13. Séguin B, Pinard C, Lussier B, Williams D, Griffin L, Podell B, Mejia S, Timercan A, Petit Y, Brailovski V. (2019). Limb-sparing in dogs using patient- specific, three-dimensional printed endoprosthesis for distal radial osteosarcoma: a pilot study. Veterinary and Comparative Oncology. 18(1): 92-104. http://dx.doi.org/10.1111/vco.12515
14. Hans EC, Pinard C, van Nimwegen SA, Kirpensteijn J, Singh A, MacEachern S, Naber S, Dudley RM. (2018). Effect of surgical site infection on survival after limb amputation in the curative intent treatment of canine appendicular osteosarcoma: a Veterinary Society of Surgical Oncology retrospective study. Veterinary Surgery. 47(8): E88-
E96. http://dx.doi.org/10.1111/