Artificial intelligence-driven decoding of trajectories of cancer cell plasticity: A paradigm shift in oncological assessment and treatment

Figure 3 Artificial intelligence and its applications in cancer diagnostics, prognostics and therapeutics. This figure was prepared on power point and Canva. Machine learning and Deep learning models are two important subsets of artificial intelligence that enable the computers to learn and interpret the experimental data on cancer cell plasticity dynamics to provide tailored diagnosis, risk assessment, accelerating drug discovery and individualizing treatment regimens. AI: Artificial intelligence.