Support for those diagnosed with breast cancer
Breast cancer knowledge, wisdom and advice by survivors for survivors
Support for those diagnosed with breast cancer
Breast cancer knowledge, wisdom and advice by survivors for survivors
We Are Expanding What Counts as Data Artificial intelligence is transforming healthcare in remarkable ways. Today, AI is trained on information such as clinical trials, imaging and diagnostic data, treatment protocols, clinical workflows and population-level outcomes These datasets are essential. They power advances in diagnosis, treatment, and clinical decision-making. But as AI becomes more integrated …
Introduction: We Don’t Have an Information Problem In this blog, we’ll explore the CARE Model™, a new framework for designing and evaluating AI in healthcare—one that starts not with data, but with lived experience. Healthcare doesn’t suffer from a lack of information. We are surrounded by it, drowning in it—clinical studies, treatment protocols, online resources, …
Healthcare innovation has traditionally focused on breakthroughs in diagnostics, drugs, and medical technology. But a growing movement is highlighting another critical dimension of care: patient storytelling focused on the human experience of illness. Across policy summits, health equity forums, and design conferences, breast cancer survivor and AskEllyn founder Ellyn Winters-Robinson is helping bring that perspective …
New analysis published in The Lancet Oncology projects a sharp rise in global breast cancer cases over the coming decades. According to the study’s latest forecasts, **the number of new breast cancer diagnoses worldwide could rise from about 2.3 million in 2023 to **more than 3.5 million by 2050 — a roughly 50 % increase …
At AskEllyn, we’re always watching for breast cancer breakthroughs and science that matters—especially when it has the potential to meaningfully improve early detection, treatment options, and ultimately outcomes for people living with breast cancer. Right now, two really exciting developments are getting our attention: Let’s break them down—what they show, why they matter, and what …
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