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4 in total

1. Machine Learning for Prediction of Survival Outcomes with Immune-Checkpoint Inhibitors in Urothelial Cancer.

Authors: Ahmad Y Abuhelwa; Ganessan Kichenadasse; Ross A McKinnon; Andrew Rowland; Ashley M Hopkins; Michael J Sorich
Journal: Cancers (Basel) Date: 2021-04-21 Impact factor: 6.639

Review 2. Predicting response and toxicity to immune checkpoint inhibitors using routinely available blood and clinical markers.

Authors: Ashley M Hopkins; Andrew Rowland; Ganessan Kichenadasse; Michael D Wiese; Howard Gurney; Ross A McKinnon; Chris S Karapetis; Michael J Sorich
Journal: Br J Cancer Date: 2017-08-24 Impact factor: 7.640

3. Lactate dehydrogenase and baseline markers associated with clinical outcomes of advanced esophageal squamous cell carcinoma patients treated with camrelizumab (SHR-1210), a novel anti-PD-1 antibody.

Authors: Xi Wang; Bo Zhang; Xuelian Chen; Hongnan Mo; Dawei Wu; Bo Lan; Qun Li; Binghe Xu; Jing Huang
Journal: Thorac Cancer Date: 2019-04-24 Impact factor: 3.500

4. Incorporating spatial dose metrics in machine learning-based normal tissue complication probability (NTCP) models of severe acute dysphagia resulting from head and neck radiotherapy.

Authors: Jamie Dean; Kee Wong; Hiram Gay; Liam Welsh; Ann-Britt Jones; Ulricke Schick; Jung Hun Oh; Aditya Apte; Kate Newbold; Shreerang Bhide; Kevin Harrington; Joseph Deasy; Christopher Nutting; Sarah Gulliford
Journal: Clin Transl Radiat Oncol Date: 2017-11-21

4 in total