Bringing Oncoscope-AI to Life: From Idea to Reality When I first envisioned an oncology library that updates daily, the response was a mix of excitement and skepticism. Many physicians told me, “That would be amazing—if only it were possible!” The challenges were clear: ❓ How do you digest the massive amount of oncology research published daily? ❓ How do you separate high-quality evidence from the noise? ❓ Can AI truly be trusted to determine what’s important? ❓ How can we use AI synergistically with humans? ❓ And of course—who would pay for it? Fast forward a year, and here we are—launching Oncoscope-AI with our first two libraries in Breast Cancer and NSCLC. This milestone wouldn’t have been possible without the commitment of an incredible team, including our brilliant CMO and my dear friend Jessicca R., who has a gift for explaining even the most complex ideas. Innovation in oncology isn’t just about technology—it’s about assembling the right people who believe in making the impossible, possible. And this is just the beginning. Would love to hear your thoughts—what do you see as the biggest challenges in staying up to date with oncology research?
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4dAnna Forsythe I'm not knowledgeable enough to answer the question you pose at the end of your post Anna. But I wanted to say that I'm very impressed by your approach which was to recognize both the potential and limitations of the technology and to incorporate that into a workflow with human expertise that worked for clinicians instead of creating more work for them. That is hard to do and most companies don't go the extra mile to do that, instead it's clinicians who have to adapt or pushback in the hopes that the vendor makes the required changes. But often by then it's too late and the problems are baked into the cake. You've built Oncoscope right from the start and from that foundation you can build and add more features while retaining that ease of use and accuracy. Hats off to you good lady.