Category: Interviews

The Market Access Podcast: Will AI and Living Reviews Define the Next Era of Health Care Market Access?

Oncoscope-AI Founder & CEO Anna Forsythe was recently on the Market Access Podcast with Dr. Stefan Walzer to discuss how Living Systematic Literature Reviews (Living SLRs) are redefining evidence generation in oncology and beyond – highlighting the power of real-time updates, advanced automation, and the essential role of human insight. Traditional SLRs are static snapshots, while Living SLRs are real-time, dynamic, and AI-powered—delivering continuously updated insights crucial for life-or-death decisions and payer evaluations. Join this discussion as they explore the myth of AI chatbots as true decision support tools, the need for actionable data over summaries, and the future of evidence synthesis, clinical decision-making, and smarter market access.

OncoDaily Interview: Could Oncoscope-AI Save Clinicians Hours – and Spare Patients Side Effects?

It’s good to talk about our 𝘄𝗵𝘆 sometimes. That’s why we appreciate Emma Ter-Azaryan’s interview so much. Not just for her insightful questions, but for giving us an opportunity to publicly reflect on 𝘄𝗵𝗮𝘁 𝗢𝗻𝗰𝗼𝘀𝗰𝗼𝗽𝗲-𝗔𝗜 𝗺𝗲𝗮𝗻𝘀 𝘁𝗼 𝘂𝘀. In this interview with OncoDaily, Oncoscope-AI Founder & CEO Anna Forsythe shares what drives her personally, an example of an oncologist using the tool and the impact it had, and the frustration of seeing people we love treated with chemotherapy because their doctors weren’t aware of updates in the guidelines and the research behind them. You can watch the full interview “Could Oncoscope-AI Save Clinicians Hours – and Spare Patients Side Effects?” here: From OncoDaily: In this episode of OncoDaily TV, host Emma Ter-Azaryan speaks with Anna Forsythe, CEO & Founder of Oncoscope-AI, to unpack how clinicians can cut through oncology’s data overload—FDA labels, guidelines, congress abstracts, and papers—and get to the right evidence in just a few clicks.

What you’ll learn:
✅ What OncoScope AI is (in simple terms): a clinician-friendly “Expedia for evidence” that pulls from major medical databases, guidelines, regulatory updates, and congress outputs—cross-linked in one place.
✅ Essential vs. Edge: two workflows—patient-first decision support vs. deep-dive topic exploration (e.g., ADCs in lung cancer, mutation-specific updates).
✅ Power features: clickable disease maps, filter by congress (ASCO, World Lung, etc.), tumor-board prep, and one-click prior-auth reports with citations.
✅ Real-world impact: how a brand-new FDA approval surfaced that week and helped a patient access a better-tolerated therapy sooner.

The Healthy Enterprise Podcast: AI’s Role in Modern Oncology – A New Era of Evidence-Based Cancer Care

Our very own Founder & CEO Anna Forsythe was recently on The Healthy Enterprise podcast to talk about Oncoscope-AI and how our practice-changing platform delivers real-time treatment insights, clinical guidelines, and research to support oncologists in an ever-evolving cancer landscape.

From The Healthy Enterprise Podcast: In this episode of The Healthy Enterprise, Anna Forsythe, founder and CEO of Oncoscope-AI, shares her journey from manually processing oncology data to creating an AI-powered platform that delivers real-time treatment insights, clinical guidelines, and research to support oncologists in an ever-evolving cancer landscape. She discusses the importance of reliable evidence in decision-making, the positive response from physicians using the free platform, and the role of systematic data reviews in building trust and efficiency. Beyond the technology, Anna reflects on her entrepreneurial path, the challenges and opportunities of leading in healthcare, and the importance of cultivating talent, mission-driven culture, and visionary leadership.

Chapters:
00:00 Introduction to Oncoscope-AI and Anna Forsythe
03:04 The Need for Real-Time Oncology Data
05:59 Transitioning from Manual to Automated Data Processing
09:11 The Role of AI in Oncology
12:13 Feedback and Response from Healthcare Professionals
14:45 Data Sources and Systematic Reviews in Oncology
18:02 Future Developments and Expanding Services
21:53 AI in Research: Balancing Trust and Efficiency
25:52 Business Model and Revenue Streams
29:44 Personal Journey and Altruism in Business
32:56 Challenges and Opportunities in Healthcare
35:34 Leadership and Team Dynamics
39:29 Visionary Leadership and Future Aspirations

Guest Information: Takeaways: Keywords: Oncology, AI, healthcare, data processing, clinical guidelines, cancer treatment, healthcare technology, real-time data, systematic reviews, healthcare professionals, AI, healthcare, business model, cancer treatment, research, leadership, altruism, revenue streams, technology, innovation

The Effective Statistician Podcast: Daily Updated Systematic Literature Reviews – The Future of Oncology

Oncoscope-AI Founder & CEO Anna Forsythe was recently invited to be a guest on Dr. Alexander Schacht‘s “The Effective Statistician” podcast.

Here’s what Dr. Schacht had to say: How can oncologists and healthcare professionals keep up with the ever-growing body of research to make the best decisions for patients? In this episode, I speak with Anna Forsythe, a pharmacologist, health economist, and founder of Oncoscope-AI, a groundbreaking platform delivering daily updated systematic literature reviews (SLRs) in oncology. Drawing on decades of experience in pharma and health economics, Anna shares how automation and AI are transforming the traditionally tedious SLR process—making up-to-date evidence accessible to clinicians in just a few clicks.

Why You Should Listen:
✔ Discover how SLRs are evolving through automation and AI
✔ Learn how real-time data can improve cancer treatment decisions
✔ Understand the balance between innovation and clinical responsibility
✔ Hear about a tool that could change the way guidelines and clinical practice align
✔ Be inspired by a founder’s mission to create impact through altruistic innovation

Clinicians Don’t Need More Data, They Need Usable Insights

In oncology, where time is critical and treatment paths are complex, clear and timely communication with patients isn’t a “nice to have,” it’s essential. In this short video, Chad Levitt highlights a core challenge in cancer care: when oncologists have to spend valuable time interpreting dense data, it delays the clarity patients need. The reality is, clinicians aren’t just looking for more information; they’re looking for usable information. Tools like Oncoscope-AI are designed with this in mind, delivering real-time oncology data that’s already filtered, prioritized, and clinically relevant. That means faster decision-making, clearer communication with patients, and a better care experience at one of the most critical moments in someone’s life.

From Information Overload to Meaningful Insight: Helping Oncologists Make Confident Treatment Decision

In today’s fast-paced oncology environment, physicians are tasked with making complex treatment decisions while navigating an ever-expanding body of clinical data. As Dr. Jessicca Rege shares in the video, the challenge isn’t access to information, it’s finding information that’s useful, relevant, and aligned with a specific patient’s clinical context.

Every week brings new trial results, updated guidelines, and shifting regulatory approvals. For oncologists managing dozens of patient cases, keeping up isn’t just time-consuming, it’s nearly impossible without the right tools. That’s where Oncoscope-AI steps in. Built for the real-world demands of cancer care, our platform transforms data into real-time, patient-specific insights. By combining the speed of AI with the clinical rigor of expert human review, we help oncology teams focus on what matters: making confident, evidence-based decisions at the point of care.

Why Oncologists Need More Than Guidelines, They Need Living Intelligence

Clinical guidelines are an essential foundation in oncology, but they’re not enough. As Dr. Jessicca Rege highlights in the video, by the time guidelines are published, they often lag behind the most current clinical trial results, emerging biomarkers, and FDA approvals. In a field evolving as quickly as oncology, even the best guidelines can feel outdated the moment they’re released.

What oncologists need isn’t just a static reference point, they need living, adaptive tools that evolve in real time. That’s the power of Oncoscope-AI, a platform that bridges the gap between traditional guidelines and cutting-edge clinical intelligence. It continuously ingests and synthesizes the latest trial data, guideline updates, and regulatory changes, then applies expert human review to ensure clinical relevance.

A New Approach for Oncology Decision Support

In oncology, change doesn’t wait. Clinical trial data evolves by the hour, guidelines shift rapidly, and regulatory approvals are updated in real time. For practicing oncologists seeing 20–30 patients a day, staying “up to date” often feels like an impossible task. Traditional tools simply weren’t built for the speed or complexity of modern cancer care.

That’s where Oncoscope-AI comes in. By combining the speed of AI with the clinical judgment of expert human reviewers, Oncoscope-AI filters, organizes, and prioritizes the most relevant oncology data daily. It’s not just another search tool or chatbot. It’s a decision support platform purpose-built to meet oncologists where they are: at the point of care, under pressure, and in need of trusted, clinically aligned information.