Novo Nordisk ran a nearly 4,000-patient Phase 3 Alzheimer's trial despite publicly stating it had a low probability of success. This strategy consumes valuable patient resources, raising ethical questions about whether a smaller, definitive Phase 2 study would have been a more responsible approach for the broader research ecosystem.

To increase the predictive power of their data, Aphaia structured its Phase 2 study to mimic a Phase 3 trial. By imposing minimal constraints on patients (e.g., no coaching or calorie restrictions), the results are more likely to reflect real-world outcomes. This reduces the risk of a performance drop-off between phases, making the asset more attractive to potential partners.

Many medtech companies design large trials where a tiny, clinically meaningless response can be statistically significant. Dr. Holman advises entrepreneurs to instead run rigorous trials that prove genuine clinical value, arguing that credible data is the ultimate moat, even if it carries a higher risk of failure.

Instead of running separate Phase 2 and 3 trials, iOnctura plans to "operationally upsize" its current study. This involves keeping the same clinical sites open and transitioning directly into a Phase 3 cohort with new patients, creating a more efficient, faster, and less costly path to potential approval.

Don't wait until Phase 3 to think about commercialization. Biotech firms must embed secondary endpoints in Phase 2 trials that capture quality of life and patient journey insights. This data is critical for building a compelling value proposition that resonates with payers and secures market access.

Cereno Scientific chose a Phase 2b trial over a combined 2b/3 to maintain flexibility. A combined trial locks in the design for both phases upfront, whereas a standalone 2b allows for optimization before Phase 3 and creates a cleaner, more attractive asset for a potential acquisition deal.

Contrary to the common trend of diminishing efficacy in larger trials, Apogee's CEO highlights a historical pattern in atopic dermatitis where drug performance often improves from Phase 2 to Phase 3. This is attributed to larger study sizes reducing statistical noise and allowing for more refined site and patient selection.

Despite FDA readiness for a final Phase 3 trial, Connect Biopharma chose to run more Phase 2 studies. They discovered their long-term asthma drug worked in hours, not weeks, and are now pivoting to prove its value in acute, emergency situations, which informs a stronger, more targeted Phase 3 design.

Biotech leaders must stop viewing commercialization as a post-approval task. The critical window is Phase 2 clinical trials. By embedding patient journey and quality of life insights into secondary endpoints, companies can build a compelling value proposition for payers and physicians. Waiting until Phase 3 is too late.