| For: | Ullah M, Akbar A, Yannarelli G. Applications of artificial intelligence in, early detection of cancer, clinical diagnosis and personalized medicine. Artif Intell Cancer 2020; 1(2): 39-44 [DOI: 10.35713/aic.v1.i2.39] |
|---|---|
| URL: | https://www.wjgnet.com/2644-3228/full/v1/i2/39.htm |
| Number | Citing Articles |
| 1 |
Asma Akbar, Nagavalli Pillalamarri, Sriya Jonnakuti, Mujib Ullah. Artificial intelligence and guidance of medicine in the bubble. Cell & Bioscience 2021; 11(1) doi: 10.1186/s13578-021-00623-3
|
| 2 |
Asma Akbar, Farzaneh Malekian, Neda Baghban, Sai Priyanka Kodam, Mujib Ullah. Methodologies to Isolate and Purify Clinical Grade Extracellular Vesicles for Medical Applications. Cells 2022; 11(2) doi: 10.3390/cells11020186
|
| 3 |
Mujib Ullah, Sai Priyanka Kodam, Qian Mu, Asma Akbar. Microbubbles versus Extracellular Vesicles as Therapeutic Cargo for Targeting Drug Delivery. ACS Nano 2021; 15(3) doi: 10.1021/acsnano.0c10689
|
| 4 |
Surbhi Gupta, Anish Gupta, Yogesh Kumar. Artificial intelligence techniques in Cancer research: Opportunities and challenges. 2021 International Conference on Technological Advancements and Innovations (ICTAI) 2021; doi: 10.1109/ICTAI53825.2021.9673174
|
| 5 |
Mujib Ullah, Nicole Pek Min Qian, Gustavo Yannarelli. Advances in innovative exosome-technology for real time monitoring of viable drugs in clinical translation, prognosis and treatment response. Oncotarget 2021; 12(11) doi: 10.18632/oncotarget.27927
|
| 6 |
Danial Khorsandi, Dorsa Rezayat, Serap Sezen, Rafaela Ferrao, Arezoo Khosravi, Atefeh Zarepour, Melika Khorsandi, Mohammad Hashemian, Siavash Iravani, Ali Zarrabi. Application of 3D, 4D, 5D, and 6D bioprinting in cancer research: what does the future look like?. Journal of Materials Chemistry B 2024; 12(19) doi: 10.1039/D4TB00310A
|
| 7 |
Manisha R. Patil, Anand Bihari. Role of artificial intelligence in cancer detection using protein p53: A Review. Molecular Biology Reports 2025; 52(1) doi: 10.1007/s11033-024-10051-4
|
| 8 |
Uma Shankari Srinivasan, Venkat Pavithra, Kaliappan Sutha, Sridevi Ramachandiran, Nallathambi Indumathi. An Innovative Analysis of Time Series-Based Detection Models for Improved Cancer Detection in Modern Healthcare Environments. RAiSE-2023 2023; doi: 10.3390/engproc2023059114
|
| 9 |
Geeta Chhabra Gandhi, Roshmeet Chakraborty, Nishkarsh Kewlani, Dinesh Kumar Saini, Kashif Zia. Advances in Cancer Detection, Prediction, and Prognosis Using Artificial Intelligence and Machine Learning. 2025; doi: 10.1007/978-981-96-9346-7_18
|
| 10 |
Lobna M. Abouelmagd, Mahmoud Y. Shams, Noha E. El-Attar, Aboul Ella Hassanien. Medical Informatics and Bioimaging Using Artificial Intelligence. Studies in Computational Intelligence 2022; 1005 doi: 10.1007/978-3-030-91103-4_4
|
| 11 |
Anant Kumar, Shriniket Dixit, Kathiravan Srinivasan, Dinakaran M, P. M. Durai Raj Vincent. Personalized cancer vaccine design using AI-powered technologies. Frontiers in Immunology 2024; 15 doi: 10.3389/fimmu.2024.1357217
|
| 12 |
Ludovica Paseri. Enabling and Safeguarding Personalized Medicine. Data Science, Machine Intelligence, and Law 2025; 7 doi: 10.1007/978-3-031-99709-9_2
|
| 13 |
Rocío B. Ruiz, Juan D. Velásquez. Artificial Intelligence and Machine Learning for Healthcare. Intelligent Systems Reference Library 2023; 229 doi: 10.1007/978-3-031-11170-9_1
|
| 14 |
Exploring the utility of extracellular vesicles in ameliorating viral infection-associated inflammation, cytokine storm and tissue damage. Translational Oncology 2021; 14(7) doi: 10.1016/j.tranon.2021.101095
|
| 15 |
Qing Lin, Weimin Tan, Shilun Cai, Bo Yan, Jichun Li, Yunshi Zhong. Lesion-Decoupling-Based Segmentation With Large-Scale Colon and Esophageal Datasets for Early Cancer Diagnosis. IEEE Transactions on Neural Networks and Learning Systems 2024; 35(8) doi: 10.1109/TNNLS.2023.3248804
|
| 16 |
Marianna-Foteini Dafni, Mohamed Shih, Agnes Zanotto Manoel, Mohamed Yousif Elamin Yousif, Stavroula Spathi, Chorya Harshal, Gaurang Bhatt, Swarali Yatin Chodnekar, Nicholas Stam Chune, Warda Rasool, Tungki Pratama Umar, Dimitrios C. Moustakas, Robert Achkar, Harendra Kumar, Suhaila Naz, Luis M. Acuña-Chavez, Konstantinos Evgenikos, Shaina Gulraiz, Eslam Salih Musa Ali, Amna Elaagib, Innocent H. Peter Uggh. Empowering cancer prevention with AI: unlocking new frontiers in prediction, diagnosis, and intervention. Cancer Causes & Control 2025; 36(4) doi: 10.1007/s10552-024-01942-9
|
| 17 |
Marwan Al-Raeei. The Role of Artificial Intelligence in Enhancing Breast Disease Management: Early Detection and Prognostic Innovations. Archives of Medicine and Health Sciences 2025; 13(3) doi: 10.4103/amhs.amhs_351_24
|
| 18 |
Mujib Ullah, Nicole Pek Min Qian, Gustavo Yannarelli, Asma Akbar. Heat shock protein 20 promotes sirtuin 1-dependent cell proliferation in induced pluripotent stem cells . World Journal of Stem Cells 2021; 13(6): 659-669 doi: 10.4252/wjsc.v13.i6.659
|
| 19 |
Sai Priyanka Kodam, Mujib Ullah. Diagnostic and Therapeutic Potential of Extracellular Vesicles. Technology in Cancer Research & Treatment 2021; 20 doi: 10.1177/15330338211041203
|
| 20 |
Ruby Srivastava. Role of smartphone devices in precision oncology. Journal of Cancer Research and Clinical Oncology 2023; 149(1) doi: 10.1007/s00432-022-04413-3
|
| 21 |
Puneet Kumar, Mohammad Umar, Abdul Naeem, Eshan Khan. Artificial Intelligence for Enhanced Diagnosis in Oncology. 2026; doi: 10.1016/B978-0-443-45004-4.00011-6
|