• Bladder Cancer Real-World Immunotherapy Dataset for AI LLM Patients with advanced bladder cancer treated with Atezolizumab have shown significantly better response rates and survival than historical controls receiving second-line chemotherapy. The toxicity profile is also favorable—making it one of the most impactful developments in uro-oncology in the past decade. But the opportunity doesn’t stop there.…

  • Cancer AI LLM Prompts Data Set Atezolizumab Trial Data in mCRPC Introduction Prostate cancer is the second leading cause of cancer-related deaths in men in the United States. Among its most challenging forms is metastatic castration-resistant prostate cancer (mCRPC)—a disease characterized by progression despite androgen deprivation therapy. With a median survival of under 3 years…

  • 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…

  • 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,…

  • Data for AI & LLM Training and Data visualization IEEARC’s JSON-formatted research data brings the power of scientific knowledge to your fingertips. Whether you’re fine-tuning LLMs or building predictive models in healthcare, our datasets save time, boost accuracy, and eliminate the manual effort of parsing dense scientific PDFs. Ready to innovate with cleaner, smarter, and…