Personalised lung cancer treatment through outcomes predictions and patient stratification
Description preview
The proposed fellowship uses multimodal cancer data to help predict the treatment response, personalise patient care, and improve survival and quality-of-life post-treatment. By harnessing diverse data sets, the AI models are trained to identify subtle patterns and indicators. This not only aims to customize treatment plans to individual patient…
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