[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-ai-model-predicts-breast-cancer-treatment-response-from-mri-scans":10,"sections":34},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":24,"tags":25,"sources":29,"feedback":33,"feedback_at":22,"cost_usd":33,"total_tokens":33},3996,"ai-model-predicts-breast-cancer-treatment-response-from-mri-scans","AI Model Predicts Breast Cancer Treatment Response from MRI Scans","Researchers trained a graph neural network on serial MRI scans to forecast which breast cancer patients will achieve full pathological response to chemotherapy.","A new AI framework can predict whether a breast cancer patient will respond completely to neoadjuvant chemotherapy — before the treatment course is finished.\n\nResearchers published a study describing a 3D spatio-temporal model that feeds sequences of dynamic contrast-enhanced MRI scans into a graph neural network. The model tracks how a tumor changes across multiple imaging sessions, then estimates the likelihood of pathological complete response (pCR) — the absence of residual invasive cancer after chemotherapy ends. Tested on 585 patients from the public ISPY-2 dataset, the model outperformed both standard vision and self-supervised learning baselines across several classification metrics. The team also plans to release the code and a PyPI library for dataset curation when the paper is formally published.\n\nPredicting pCR matters because it is one of the most reliable proxies for long-term survival in breast cancer — patients who achieve it tend to fare significantly better. Most current clinical decisions rely on static snapshots or clinical intuition; a model that reads the trajectory of tumor change over time gives oncologists a more dynamic signal to act on. That could mean earlier pivots to alternative therapies for patients unlikely to respond.\n\nThe method is still research-stage and was tested on a single public dataset, so real-world generalizability remains an open question — a familiar caveat in medical AI that has burned clinicians before.","[\"ai\",\"medical imaging\",\"oncology\",\"machine learning\"]","2026-07-07T04:00:00.000Z","2026-07-07T14:22:07.211Z","2026-07-07T14:22:10.095Z","published",null,[],"ai",[24,26,27,28],"medical imaging","oncology","machine learning",[30],{"name":31,"url":32},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.04912",0,{"sections":35},[36,40,45,50,55,60,65,70,75,79,84,88,93,98],{"name":37,"slug":24,"count":38,"latest_published_at":39},"AI",2590,"2026-07-16T04:00:00.000Z",{"name":41,"slug":42,"count":43,"latest_published_at":44},"Security","security",294,"2026-07-15T19:59:48.000Z",{"name":46,"slug":47,"count":48,"latest_published_at":49},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":51,"slug":52,"count":53,"latest_published_at":54},"Policy","policy",158,"2026-07-16T00:02:48.000Z",{"name":56,"slug":57,"count":58,"latest_published_at":59},"Hardware","hardware",122,"2026-07-14T19:46:26.000Z",{"name":61,"slug":62,"count":63,"latest_published_at":64},"Consumer Tech","consumer-tech",93,"2026-07-13T13:20:48.000Z",{"name":66,"slug":67,"count":68,"latest_published_at":69},"Software","software",70,"2026-07-13T19:52:25.000Z",{"name":71,"slug":72,"count":73,"latest_published_at":74},"Science","science",66,"2026-07-10T10:29:37.000Z",{"name":76,"slug":77,"count":78,"latest_published_at":18},"Dev Tools","dev-tools",59,{"name":80,"slug":81,"count":82,"latest_published_at":83},"Gaming","gaming",41,"2026-07-09T04:00:00.000Z",{"name":85,"slug":86,"count":82,"latest_published_at":87},"Startups","startups","2026-06-29T20:55:50.000Z",{"name":89,"slug":90,"count":91,"latest_published_at":92},"General","general",29,"2026-07-10T22:28:58.000Z",{"name":94,"slug":95,"count":96,"latest_published_at":97},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":99,"slug":100,"count":101,"latest_published_at":102},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]