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ALS Phase 3 Trial Using Advanced Causal Machine Learning

CAMBRIDGE, Mass., May 14, 2024 /PRNewswire/ — NeuroSense Therapeutics (Nasdaq: NRSN) („NeuroSense“),  a company developing novel treatments for severe neurodegenerative diseases, today announced that it partnered with PhaseV, a pioneer in causal machine learning (ML) for clinical trial analysis and optimization, with respect to the planned Phase 3 trial of PrimeC as a treatment for amyotrophic lateral sclerosis (ALS).

As part of the collaboration, PhaseV conducted an independent analysis of NeuroSense’s PARADIGM Phase 2b study using a causal ML and predicts a high probability of success in multiple subgroups for the planned Phase 3 trial of PrimeC as a treatment for ALS.  The external results provide important insights that will significantly inform study design, patient enrollment and ensure cost-effectiveness.

NeuroSense Therapeutics recently reported positive efficacy and safety data from its Phase 2b trial (PARADIGM) with its lead drug candidate for ALS, PrimeC, and is planning on embarking on a Phase 3 pivotal trial in the next few months. In addition to PrimeC demonstrating a statistically significant 37% slowing of disease progression, as measured by the ALSFRS-R score (p=0.03), in the per-protocol population from the PARADIGM trial, it also announced a statistically significant slowing of disease progression in high-risk ALS patients treated with PrimeC by 43% (p=0.02) as compared to placebo in the pre-specified per protocol (PP) population analysis after 6 months of treatment. The slowing of disease progression demonstrated by PrimeC versus placebo translates to a 5.04 points difference in the ALSFRS-R in favor of PrimeC (Confidence Interval: 0.862, 9.214; n=38).High-risk patients, defined by the European Network for the Cure of ALS (ENCALS) Risk Factor as those with a higher risk for rapid disease progression, comprise approximately 50% of the total ALS population.

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