The Most Impactful Quotes From January
Key Takeaways
- Patient-centered development improves endpoint relevance, reduces protocol burden, and informs site strategy, while commercialization should prioritize access barriers, education, and advocacy partnerships over purely metric-driven tactics.
- Biotech visualization failures stem from siloed data and static reporting that mask assumptions and early warning signals, limiting integrated views of patient journeys, access friction, and scientific trade-offs.
What did industry experts and insiders tell Pharmaceutical Executive at the start of 2026?
Every month, Pharmaceutical Executive speaks with a variety of experts and industry insiders. They provide commentary on current events, insight on trends, and detail the direction they expect the industry to go in the coming months.
Pharmaceutical Executive: What impact does patient-centered thinking have on development and commercialization?
Patient focus should continue into the commercialization stage, ensuring our market access strategies, support programs, and educational initiatives truly serve patient needs rather than simply driving business metrics. For rare diseases specifically, where patient populations are small and often underserved, this approach is essential. It means designing patient services programs that address real barriers to treatment access, creating educational materials that speak to genuine information needs, and building relationships with patient advocacy organizations.
PE: Why is data visualization broken in biotech?
Visualization is often treated as an afterthought, something applied at the end of an analysis rather than as part of the reasoning and decision process. Dashboards tend to present tables and filters rather than helping leaders understand trade-offs, risks, and what to do next. On top of that, data is siloed across clinical, medical, and commercial functions, so executives rarely see an integrated view of patient journeys, access barriers, and scientific signals in one place.
In a lean biotech environment with aggressive milestones, teams often accept reporting that is “good enough.” But those visuals can hide weak assumptions, missing context, or early warning signals. In that sense, data visualization in biotech is not just aesthetically broken; it is strategically broken.
PE: What unique struggles do patients with Huntington’s disease face?
PE: What AI trends did you see at the 2026 JP Morgan Healthcare Conference?
They’re asking which ones have substance and which ones don’t. Which one meets all of the security protocols, as opposed to ones that just say that they do.
Selecting a vendor can be very complicated because there’s a lot of noise. It doesn’t matter what sector you look at; there’s a million people trying to raise funds and saying they can do these things.
What’s going to happen in the next year is that that stuff is going to get filtered out real fast. The companies that we’re seeing a lot of interest in are the platform plays. We’re seeing a lot of interest in platforms over one-point solutions.
How do you tackle this entire process? How do you streamline clinical trials from end-to-end? How do you work with other people to ensure digital data flow.
PE: How have recent technological advances impacted the development timeline?
In the case of Varegacestat, the Phase III data was very close to the Phase II data. It was exceptional data. We started assembling and working on the things we need to get a submission to FDA and to plan out our commercial team, packaging, delivery of the product, and working out the logistics.
PE: Why was there such an emphasis on data collection at the 2026 JP Morgan Healthcare Conference?
This year, we will potentially launch five new indications across three ADCs in the US. This is something you dream of as an executive in a pharmaceutical company. Launching one is a year is a success, but to do it five times is very exciting.
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