cancer

"Claude didn’t just help me understand my disease. It helped me catch things — like understanding why my SUVmax reading was likely inflated, or why my first-line treatment worked on the mediastinal mass but couldn’t reach the brain (pharmacokinetic barrier, not resistance)."

""If we know that a particular protease is really key to a certain cancer, and we can optimize the sensor to be highly sensitive and specific to that protease, then that gives us a great diagnostic signal," Amini says."

"Extensive experiments on five public benchmarks (Kvasir-SEG, CVC-300, CVC-ColonDB, CVC-Clinic, and PolypGen) demonstrate consistent state-of-the-art performance, with 3-8% Dice improvements and 10-20% higher "

"This study investigates whether machine learning algorithms, specifically convolutional neural networks (CNNs), can detect subtle histological features in WSIs of low-grade tubular adenomas that are predictive of a patient's long-term risk of developing colorectal cancer."

"In this article, we report the results of building and executing a comprehensive cancer classification pipeline and survival analysis of synthetic data using the scikit-learn breast cancer dataset (569 samples, 30 features) by simply instructing Claude Code in natural language."

"AI-supported breast cancer screening spots more cancers earlier, landmark trial finds"

"A family shares how ChatGPT helped them prepare for critical cancer treatment decisions for their son alongside expert guidance from his doctors."

"Chinese hospitals are using Alibaba's AI tool "PANDA" to re-examine 180,000 CT scan images and found approximately 24 cases of pancreatic cancer that doctors had overlooked."

""This is really a way to improve an overall screening test," [said lead author, Dr. Kristina Lang]."

"The image-based approach achieved 5-year time-dependent AUCs of 0.64, 0.70, and 0.70, respectively."

"Basically, it’s an AI that can finally read huge chunks of DNA (up to a million letters) and actually understand how they control our bodies, instead of just guessing."

"Exai Bio developed Exai-1 and Orion, two generative AI models that analyze cell-free RNA to significantly improve signal denoising and early cancer detection, achieving 94% sensitivity for lung cancer."

"Who can easily and painlessly test for cancer risk."

"In order to make the vaccine work, Moderna has to sequence that unique tumor in that one person, then run it through a complex computation to find the best candidate for fighting that specific mutation. This is only possible with accelerated computing and bioinformatics, i.e. AI."

"A DANN trained on labeled breast and colon data and adapted to unlabeled lung data reaches 95.56% accuracy."

"In one case that experts described as 'really dangerous', Google wrongly advised people with pancreatic cancer to avoid high-fat foods."

"AI misses nearly one-third of breast cancers, study finds"

"A tool for spotting pancreatic cancer in routine CT scans has had promising results, one example of how China is racing to apply A.I. to medicine's tough problems."

"The article's source is ArXiv, indicating a pre-print publication."

"Spatially resolved survival modelling from routine histology crosslinked with molecular profiling reveals prognostic epithelial-immune axes in stage II/III colorectal cancer."

"The context mentions the article is sourced from ArXiv, indicating it is a pre-print research paper."

"The research focuses on robust breast cancer segmentation in multi-center DCE-MRI."

"The study uses Multiple Instance Learning (MIL)."

"The research focuses on agent-based output drift detection for breast cancer response prediction within a multisite clinical decision support system."

"The article explores interpretable link prediction within the context of AI-driven cancer research."

"The article introduces a novel benchmark dataset for mammography image registration called MGRegBench."

"The study focuses on explainability of CNN-based prostate cancer classification."

"WDFFU-Mamba is a model for breast tumor segmentation in ultrasound images."

"The article likely discusses using LLMs to enhance cancer survival prediction."

"The article's context focuses on using AI to assess peritoneal carcinosis during diagnostic laparoscopy for advanced ovarian cancer."