Clinical Relevance

"AI is rapidly transforming basic research by helping scientists interpret biological data and uncover molecular patterns that drive cancer development. DL models and LLMs are now being applied across foundational areas of cancer research. One emerging application for AI in basic research is its use in enhancing the clinical relevance of knowledge gained from laboratory models of cancer. For example, researchers recently developed a DL-based method that integrates transcriptomic data from cell lines, patient-derived xenografts, and patient tumors simultaneously (see Sidebar 6) (1032)Dimitrieva S, et al. (2025) Sci Adv, 11: eadn5596.. This approach enables researchers to identify which laboratory models most closely resemble a patient’s tumors and ensure that findings from laboratory experiments are more likely to translate into meaningful clinical advances."