Predicting Dynamic Clinical Outcomes of the Chemotherapy for Canine Lymphoma Patients Using a Machine Learning Model

Autor: Jamin Koo, Kyucheol Choi, Peter Lee, Amanda Polley, Raghavendra Sumanth Pudupakam, Josephine Tsang, Elmer Fernandez, Enyang James Han, Stanley Park, Deanna Swartzfager, Nicholas Seah Xi Qi, Melody Jung, Mary Ocnean, Hyun Uk Kim, Sungwon Lim

Publikováno v: Veterinary Sciences, Vol 8, Iss 12, p 301 (2021)

First-line treatments of cancer do not always work, and even when they do, they cure the disease at unequal rates mostly owing to biological and clinical heterogeneity across patients. Accurate prediction of clinical outcome and survival following th

Externí odkaz: https://doaj.org/article/f8b9eb06456147268f0ae0a5d7cd2641

Predicting likelihood of in vivo chemotherapy response in canine lymphoma using ex vivo drug sensitivity and immunophenotyping data in a machine learning model.

Autor: Bohannan, Zach¹ (AUTHOR), Pudupakam, Raghavendra Sumanth¹ (AUTHOR), Koo, Jamin^1,2,3 (AUTHOR), Horwitz, Harrison¹ (AUTHOR), Tsang, Josephine¹ (AUTHOR), Polley, Amanda¹ (AUTHOR), Han, Enyang James¹ (AUTHOR), Fernandez, Elmer¹ (AUTHOR), Park, Stanley¹ (AUTHOR), Swartzfager, Deanna¹ (AUTHOR), Qi, Nicholas Seah Xi¹ (AUTHOR), Tu, Chantal⁴ (AUTHOR), Rankin, Wendi Velando⁴ (AUTHOR), Thamm, Douglas H.⁵ (AUTHOR), Lee, Hye‐Ryeon^1,2 (AUTHOR), Lim, Sungwon^1,2 (AUTHOR) sungwon@imprimedicine.com

Publikováno v: Veterinary & Comparative Oncology. Mar2021, Vol. 19 Issue 1, p160-171. 12p.