Titlebook: Artificial Intelligence and Precision Oncology; Bridging Cancer Rese Zodwa Dlamini Book 2023 The Editor(s) (if applicable) and The Author(s

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Applying Artificial Intelligence Prediction Tools for Advancing Precision Oncology in Immunotherapy:. Artificial intelligence has been imperative in the screening and detection of cancer for decades. As technology evolves, AI has gone as far as predicting the risk of cancer development or recurrence. More profoundly, machine learning (ML) can advance individualized cancer therapy (precision medici

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Employing AI-Powered Decision Support Systems in Recommending the Most Effective Therapeutic Approacare not meant to replace human capabilities, its benefits cannot be ignored either, as humans’ capacity to generate most appropriate personalised treatment may be limited. Every patient responds uniquely to treatment and AI-tools offer opportunities to study unique mechanisms of response and even re

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Conclusion and Insights into the Future of AI in Precision Oncologyis, prognosis, treatment, and survival. Artificial intelligence (AI) is fast changing how medical research is done with resultant improvements in patient care. By analyzing large data sets, AI allows for the prediction of disease risk, early detection of disease progression, and treatment outcomes f

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https://doi.org/10.1007/978-3-030-04462-6cording to their genetic profiles, however there are still some limitations to these technologies. This chapter will examine the role of Artificial Intelligence (AI) and nanotechnology integration in realizing the goal of precision medicine.

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https://doi.org/10.1007/978-3-030-04462-6he splicing pathway, AI can improve this by helping screen proteome and transcriptome databases to identify new splice variants. AI can also model the three-dimensional structure of new isoforms in order to screen for compounds that can bind exclusively to these isoforms.

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