oncology

8 articles about oncology in AI news

XpertBench Benchmark Reveals LLM 'Expert Gap', Top Models Score ~66%

Researchers introduced XpertBench, a benchmark of 1,346 tasks curated by domain experts. Leading LLMs achieve a peak success rate of only ~66%, revealing a pronounced 'expert-gap' in complex professional reasoning.

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Eli Lilly Signs $2.75B AI Drug Discovery Deal with Insilico Medicine

Eli Lilly has entered a $2.75 billion licensing pact with Insilico Medicine for multiple AI-discovered drug programs. The deal includes an upfront payment, milestones, and royalties, marking a major validation for AI-driven pharmaceutical R&D.

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Gastric-X: New 1.7K-Case Multimodal Benchmark Challenges VLMs on Realistic Gastric Cancer Diagnosis Workflow

Researchers introduce Gastric-X, a comprehensive multimodal benchmark with 1.7K gastric cancer cases including CT scans, endoscopy, lab data, and expert notes. It evaluates VLMs on five clinical tasks to test if they can correlate biochemical signals with tumor features like physicians do.

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Microsoft Releases GigaTIME: AI Model Generates Protein Maps from Standard Medical Images

Microsoft has released GigaTIME, an AI model that generates detailed spatial protein maps from standard, low-cost medical images like H&E stains. This could significantly reduce the cost and time of cancer tissue analysis.

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Pet Owner Uses AlphaFold Predictions and ChatGPT to Develop Canine Cancer Treatment

A non-biologist reportedly treated his dog's cancer using AlphaFold protein structure predictions and ChatGPT for research guidance. The dog showed significant improvement within a month, according to the account.

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AI-Powered Breakthrough: Sydney Founder Creates Personalized mRNA Cancer Vaccine for Dog

A Sydney tech founder used ChatGPT and AlphaFold genetic data to design a personalized mRNA cancer vaccine for his dog Rosie after traditional treatments failed. Within weeks, a major tumor shrank by approximately 50%, demonstrating how AI could accelerate personalized cancer therapies.

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CoRe-BT: The Missing Piece for AI Brain Tumor Diagnosis

Researchers introduce CoRe-BT, a multimodal benchmark combining MRI, pathology images, and text reports for brain tumor typing. The dataset addresses real-world clinical challenges where diagnostic data is often incomplete, enabling more robust AI models for glioma classification.

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AI-Powered Digital Twins Herald New Era of Personalized Cancer Radiotherapy

Researchers have developed COMPASS, an AI system that creates patient-specific digital twins to predict radiation toxicity in lung cancer patients. By analyzing real-time treatment data, it identifies early warning signs days before clinical symptoms appear, enabling truly adaptive radiotherapy.

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