1. “Classification of Breast Cancer Nottingham Prognostic Index Using High-Dimensional Embedding and Residual Neural Network”
by Li Zhou, Maria Rueda and Abedalrhman Alkhateeb
Cancers 2022, 14(4), 934; https://doi.org/10.3390/cancers14040934
Available online: https://www.mdpi.com/2072-6694/14/4/934

2. “Bias and Class Imbalance in Oncologic Data—Towards Inclusive and Transferrable AI in Large Scale Oncology Data Sets”
by Erdal Tasci, Ying Zhuge, Kevin Camphausen and Andra V. Krauze
Cancers 2022, 14(12), 2897; https://doi.org/10.3390/cancers14122897
Available online: https://www.mdpi.com/2072-6694/14/12/2897

3. “Comprehensive Analysis of Co-Mutations Identifies Cooperating Mechanisms of Tumorigenesis”
by Limin Jiang, Hui Yu, Scott Ness, Peng Mao, Fei Guo, Jijun Tang and Yan Guo
Cancers 2022, 14(2), 415; https://doi.org/10.3390/cancers14020415
Available online: https://www.mdpi.com/2072-6694/14/2/415

4. “Single-Cell Sequencing: Current Applications in Precision Onco-Genomics and Cancer Therapeutics”
by Lisa Maria Mustachio and Jason Roszik
Cancers 2022, 14(3), 657; https://doi.org/10.3390/cancers14030657
Available online: https://www.mdpi.com/2072-6694/14/3/657

5. “Multitask Learning Radiomics on Longitudinal Imaging to Predict Survival Outcomes following Risk-Adaptive Chemoradiation for Non-Small Cell Lung Cancer”
by Parisa Forouzannezhad, Dominic Maes, Daniel S. Hippe, Phawis Thammasorn, Reza Iranzad, Jie Han, Chunyan Duan, Xiao Liu, Shouyi Wang, W. Art Chaovalitwongse et al.
Cancers 2022, 14(5), 1228; https://doi.org/10.3390/cancers14051228
Available online: https://www.mdpi.com/2072-6694/14/5/1228

6. “Identification of a Novel Cuproptosis-Related Gene Signature for Prognostic Implication in Head and Neck Squamous Carcinomas”
by Shouyi Tang, Li Zhao, Xing-Bo Wu, Zhen Wang, Lu-Yao Cai, Dan Pan, Ying Li, Yu Zhou and Yingqiang Shen
Cancers 2022, 14(16), 3986; https://doi.org/10.3390/cancers14163986
Available online: https://www.mdpi.com/2072-6694/14/16/3986

7. “An Integrative Human Pan-Cancer Analysis of Cyclin-Dependent Kinase 1 (CDK1)”
by Xuanyou Liu, Hao Wu and Zhenguo Liu
Cancers 2022, 14(11), 2658; https://doi.org/10.3390/cancers14112658
Available online: https://www.mdpi.com/2072-6694/14/11/2658

8. “Machine Learning Predictor of Immune Checkpoint Blockade Response in Gastric Cancer”
by Ji-Yong Sung and Jae-Ho Cheong
Cancers 2022, 14(13), 3191; https://doi.org/10.3390/cancers14133191
Available online: https://www.mdpi.com/2072-6694/14/13/3191

9. “Implications of Stemness Features in 1059 Hepatocellular Carcinoma Patients from Five Cohorts: Prognosis, Treatment Response, and Identification of Potential Compounds”
by Haoming Mai, Haisheng Xie, Mengqi Luo, Jia Hou, Jiaxuan Chen, Jinlin Hou and De-ke Jiang
Cancers 2022, 14(3), 563; https://doi.org/10.3390/cancers14030563
Available online: https://www.mdpi.com/2072-6694/14/3/563

10. “UMAP Based Anomaly Detection for Minimal Residual Disease Quantification within Acute Myeloid Leukemia”
by Lisa Weijler, Florian Kowarsch, Matthias Wödlinger, Michael Reiter, Margarita Maurer-Granofszky, Angela Schumich and Michael N. Dworzak
Cancers 2022, 14(4), 898; https://doi.org/10.3390/cancers14040898
Available online: https://www.mdpi.com/2072-6694/14/4/898