Artificial intelligence (AI) is a term used to describe a computer that performs tasks that are similar to those performed by humans. AI integration in cancer care could enhance diagnosis accuracy and speed, aid clinical decision-making, and result in better health outcomes. Machine learning and other AI technologies can significantly improve the current mode of anticancer drug research. Clinical treatment driven by AI has the potential to make a significant difference in eliminating health inequities, especially in low-resource settings. Researchers can collaborate in real-time and share knowledge virtually utilising an AI-based system method, potentially healing millions. AI also has the potential to revolutionize oncology by leveraging big data to propel cancer care into the twenty-first century and beyond.
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Title : Deubiquitylase USP31 induces autophagy and promotes the progression in lung squamous cell carcinoma cells by stabilizing E2F1 expression
Qian Zhang, The Affiliated Changzhou Second People’s Hospital of Nanjing Medical University, China
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Luca Roncati, University of Modena and Reggio Emilia, Italy
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Bene Ekine-Afolabi, ZEAB Therapeutic Ltd, United Kingdom
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K.P.Mishra, Asian Association for Radiation Research, India