Tag: multimodal
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Pan-Cancer AI Model Elevates Prognosis Across 30 Cancer Types with MICE
Transforming Pan-Cancer Prognosis with Multimodal AI In the rapidly evolving field of oncology, a novel multimodal AI model named MICE (Multimodal data Integration via Collaborative Experts) is breaking new ground in pan-cancer prognosis prediction. By integrating pathology images, genomics, and clinical data, MICE demonstrates superior generalizability and efficiency across 30 cancer types. The approach aims…
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Large Language Models in Lung Cancer: A Systematic Review
Introduction: The promise and challenge of LLMs in lung cancer care Lung cancer remains a leading cause of cancer mortality worldwide. Advances in early detection, such as low-dose CT screening, and integrated full‑cycle management offer the potential to improve survival and quality of life. At the same time, realizing these gains requires handling vast, heterogeneous…