Generated by All in One SEO v4.8.5, this is an llms.txt file, used by LLMs to index the site. # CancerScan ## Sitemaps - [XML Sitemap](https://www.cancerscanproject.eu/wp/sitemap.xml): Contains all public/indexable URLs for this website. ## Posts - [Making tumour communication visible: tracking extracellular vesicles in 3D cancer models](https://www.cancerscanproject.eu/2026/09/03/making-tumour-communication-visible-tracking-extracellular-vesicles-in-3d-cancer-models/) - [About Diffusion Models, Cancer Cell States and Iterative Generative Exploration](https://www.cancerscanproject.eu/2026/09/08/about-diffusion-models-cancer-cell-states-and-iterative-generative-exploration/) - [UNIBI Contributions to iscbAI’26 on Molecular Data & Generative AI](https://www.cancerscanproject.eu/2026/08/21/unibi-contributions-to-iscbai26-on-molecular-data-generative-ai/) - [Connecting Research Across Continents](https://www.cancerscanproject.eu/2026/07/22/connecting-research-across-continents/) - [How CancerScan’s Technology Could Be Used in the Future](https://www.cancerscanproject.eu/2026/07/06/how-cancerscans-technology-could-be-used-in-the-future/) - [Understanding Treatment Resistance: VHIR’s Role in CancerScan](https://www.cancerscanproject.eu/2026/06/23/understanding-treatment-resistance-vhirs-role-in-cancerscan/) - [CancerScan Digital Twin System receives EMA Breakthrough Device designation](https://www.cancerscanproject.eu/2026/06/08/cancerscan-digital-twin-system-receives-ema-breakthrough-device-designation/) - [What Is a Tumour Digital Twin?](https://www.cancerscanproject.eu/2026/05/19/what-is-a-tumour-digital-twin/) - [Decoding cancer cell communication to improve pancreatic cancer treatment](https://www.cancerscanproject.eu/2026/04/27/decoding-cancer-cell-communication-to-improve-pancreatic-cancer-treatment/) - [The UNIBI Team and its Expertise for CancerScan](https://www.cancerscanproject.eu/2026/04/08/the-unibi-team-and-its-expertise-for-cancerscan/) - [A shared roadmap for how CancerScan will communicate and amplify its results](https://www.cancerscanproject.eu/2026/03/24/a-shared-roadmap-for-how-cancerscan-will-communicate-and-amplify-its-results/) - [About Cell-Cell-Communication Networks, Embeddings and Transformers](https://www.cancerscanproject.eu/2026/02/10/about-cell-cell-communiction-networks-embeddings-and-transformers/) - [Structuring Cancer Research Knowledge Through Knowledge Graphs](https://www.cancerscanproject.eu/2026/03/05/structuring-cancer-research-knowledge-through-knowledge-graphs/) - [Learning tumour language: Neovivum's role in predicting cancer resistance](https://www.cancerscanproject.eu/2026/02/23/learning-tumour-language-neovivums-role-in-predicting-cancer-resistance/) - [Meet the CSIC team contributing expertise in tumour microenvironment analysis](https://www.cancerscanproject.eu/2026/01/26/meet-the-csic-team-contributing-expertise-in-tumour-microenvironment-analysis/) - [Tumor microenvironment (TME) sustains and shapes cancer cell activity](https://www.cancerscanproject.eu/2026/01/19/tumor-microenvironment-tme-sustains-and-shapes-cancer-cell-activity/) - [Europe's Beating Cancer Plan: From research to reality](https://www.cancerscanproject.eu/2025/10/13/europes-beating-cancer-plan-from-research-to-reality/) - [A Heterogeneous GPU–FPGA Computing Infrastructure for Efficient and Accurate Tumour Digital Twin Simulation](https://www.cancerscanproject.eu/2025/12/29/a-heterogeneous-gpu-fpga-computing-infrastructure-for-efficient-and-accurate-tumour-digital-twin-simulation/) - [Politecnico di Milano Joins CancerScan to Advance Precision Oncology through Digital Twins](https://www.cancerscanproject.eu/2025/12/11/politecnico-di-milano-joins-cancerscan-to-advance-precision-oncology-through-digital-twins/) - [Predicting therapy resistance in tissue slides: a reminder of AI’s power in cancer image analysis](https://www.cancerscanproject.eu/2025/11/25/predicting-therapy-resistance-in-tissue-slides-a-reminder-of-ais-power-in-cancer-image-analysis/) ## Pages - [Home](https://www.cancerscanproject.eu/) - [News](https://www.cancerscanproject.eu/news/) - [Media](https://www.cancerscanproject.eu/media/) - [Consortium](https://www.cancerscanproject.eu/consortium/) - [Contact](https://www.cancerscanproject.eu/contact/) - [About](https://www.cancerscanproject.eu/about/) - [Terms & Conditions](https://www.cancerscanproject.eu/terms-conditions/) ## Categories - [NEWS](https://www.cancerscanproject.eu/category/news/) - [KNOWLEDGE](https://www.cancerscanproject.eu/category/knowledge/)