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New research · Psychiatry
NPJ digital medicine · 1w
AI / informaticsNPJ digital medicine · 2025

Explainable AI-driven precision clinical trial enrichment: demonstration of the NetraAI platform with a phase II depression trial.

Joseph Geraci, Bessi Qorri, Mike Tsay … Luca Pani
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PsychiatryAI / informatics

NetraAI's 10-variable model had higher accuracy in predicting ketamine response than standard machine learning

Explainable AI-driven precision clinical trial enrichment: demonstration of the NetraAI platform with a phase II depression trial.

Joseph Geraci … Luca Pani
NPJ digital medicine · 2025
Methods

Clinical trial failures are frequently driven by patient heterogeneity and limited sample sizes that obscure treatment effects by diluting statistical power.

n = 63
0.32
Results
0.32
AUC was 0.32 higher, meaning better separation of responders from non-responders
n = 63
More results

In a Phase II ketamine trial for treatment-resistant depression (n = 63), NetraAI analyzed psychiatric scale data (175/patient) and MRI-derived features (185/patient).

More results

NetraAI outperformed traditional machine learning (machine learning) models in predicting treatment outcomes, improving predictive accuracy by approximately 25-30% and achieving higher sensitivity and specificity in detecting responders.

“
Conclusion

NetraAI's precision enrichment strategy has the potential to improve trial success rates and enable personalized medicine by prospectively identifying patients most likely to benefit from a given therapy in oncology, psychiatry, neurodegeneration, and for other disorders.

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