Tag: Breast Cancer
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Clinical Evidence Prompt-Completion Pairs for Atezolizumab in NSCLC (IMpower010) AI LLM Dataset Overview This dataset contains structured prompt-completion pairs derived from the IMpower010 trial and related CADTH clinical assessments of atezolizumab for non-small cell lung cancer (NSCLC) in the adjuvant setting. It is designed to support AI and LLM (Large Language Model) training, evaluation, and…
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AI LLM Data for Cancer Survivors: Long-Term & Latent Side Effects The Challenge: While early-stage cancer diagnoses often lead to successful treatment, a significant number of survivors continue to grapple with persistent and debilitating side effects. These common side effects severely impact their quality of life, contributing to increased morbidity and even mortality. Understanding,…
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Breast Cancer Diagnosis by AI Deep Learning Model Research Papers You must read these papers if you are doing research in AI for Cancer Diagnosis Breast cancer remains a significant focus in medical research Specifically the Diagnosis area focuses a lot because when we can diagnose early we can prevent it easily Let me share…
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- Atezolizumab in Advanced Bladder Cancer Real-World Immunotherapy Dataset for AI LLM
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- Clinical Evidence Prompt Non Small Cell Lung Cancer Dataset
- AI LLM Data for Cancer Survivors Long-Term & Latent Side Effects
- Data for AI & LLM Training and Data visualization
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