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PatientSavvy is a searchable library of real cancer patient stories, organised by cancer type, stage, biomarker, treatment and outcome, so that someone facing a diagnosis can find the people whose situation genuinely resembles theirs.
Where oncology advances meet lived experience. PatientSavvy cuts through medical jargon, bringing clear cancer guides and real patient journeys from around the globe to the people who need them most.
A cancer diagnosis arrives with a vocabulary nobody taught you. A stage, a subtype, a biomarker, a treatment plan. Underneath it all sits the same question: has anyone else been here, and what happened to them? Most cancer information is organised by cancer type and stops there. PatientSavvy exists to answer the more specific question.
PatientSavvy is a small independent project. We are not a hospital, a clinic, or a medical practice, and we are not affiliated with the organisations whose stories we index.
We are a group of healthcare professionals, patient advocates, and people who have worked in the pharmaceutical industry. What brings us together is a belief in the power of shared experience. Reading how someone else came through is often what helps a patient take the next step: what they tried, what worked, and what it actually felt like.
Every story in the library begins as an account someone else published first. We do not interview patients and we do not invent stories.
Our sources include patient-story publishers and cancer advocacy organisations, cancer centres, video and podcast accounts published by patients and advocacy channels, the peer-reviewed case-report literature, and stories shared with us directly by our own community.
Every entry names its source and links to the original publication. If you want an account in the person's own words, follow that link. It is always there. Our sourcing, attribution, and takedown practices are set out in full in our Terms of Service.
A published story is usually prose. What it rarely tells you is how to find other people in the same situation.
So for every story we record, in a consistent structure: cancer type and subtype, stage at diagnosis, biomarkers and mutations, the treatments the person received, and how things stood when the story was told.
That structure is our own work. It is what lets you search for something as specific as a KRAS-mutated lung cancer patient who had immunotherapy after surgery, and get real people back rather than a general article.
Summaries are drafted with the help of an AI language model working only from the published source material, and every entry is reviewed by us before it appears. The original source is always linked so you can check anything against it.
We say so because you deserve to know what you are reading. The model's job is compression and consistency, not invention: it works only from the account in front of it. It can still make mistakes, and the original source is always linked so you can check anything against it. The limits of our summaries and classifications are described in our Disclaimer.
Our summaries are not reviewed by a medical professional. If that changes, we will say so here.
PatientSavvy is an independent project and is not run for profit. It is supported by advertising shown on the website and by voluntary donations from readers.
We accept no funding from hospitals, pharmaceutical companies, or treatment providers, and no one pays us to feature, rank, or promote any story, treatment, or organisation.
If you are a patient, an author, or an organisation and you would prefer a story not appear here, or you would like it presented differently, contact us at medxact@gmail.com and we will act on it promptly.
If you spot an error in a summary or a classification, please tell us. Corrections are welcome and we would rather hear about a mistake than leave it in place.