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AI in Science

The Scripps Research Institute

PhD student @ The Scripps Research Institute

Getting real-time, guideline-based advice for cancer care is still tough in a lot of places. We built Oncology 2025, a GPT-based assistant trained on the best international guidelines and top journals. It updates every week from PubMed and social media like X, and it talks to you in normal, conversational language.

In over a thousand real clinical sessions, it scored 4.8 out of 5 with users. It helped doctors with treatment planning, choosing molecular tests, and making therapy decisions that match the latest standards. We tested it on common cancers like breast, lung, colorectal, prostate — and also rare tumors and biomarker-driven cases.

Doctors said it boosted their confidence, gave them faster access to the right information, and helped trainees learn better. It’s a real example of how generative AI can safely and practically support cancer care. Next, we’re looking to validate it in the real world and connect it to electronic health records. 

Oncology 2025 shows that with the right training, AI doesn’t replace clinicians — it empowers them to deliver smarter, faster, and more personalized cancer care.

GPT for oncology

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