Filtering Placebo Noise in CNS Drug Development

We help determine whether a CNS drug is truly working or driven by placebo effects, enabling earlier, data-driven Go/No-Go decisions.

Core Capabilities

Multi-modal
Data Integration

Integration of diverse neural datasets to create a comprehensive biological profile.

ML Response
Modelling

Advanced algorithms specifically trained to distinguish true pharmacological effects from placebo-related neural fluctuations.

Standardised
Quantification

Objective measurement of neural activity across all trial sites to mitigate the risk of false-positive interpretations.

Comparative
Analysis

Cross-subject and cross-therapy evaluation of response patterns to refine dose selection and study environments.

How Panikcure Helps

Stop Advancing
Ineffective Drugs

Identify true neural engagement early and avoid progressing therapies driven by placebo response.

"Detect True Drug Signal"

Quantifiable Early Decisions

Make earlier, data-driven Go/No-Go decisions using objective neural signals than subjective endpoints.

"Reduce Placebo Noise"

Focus on
What Actually Works

Prioritize therapies thatshow real biological activity and allocate resources more efficiently.

"Decide Earlier with Confidence"

The Future of CNS Drug Development

CNS drug development relies too heavily on subjective endpoints, making it difficult to know whether a therapy is truly working. We believe the future is different. A future where decisions are guided by objective neural signals, not subjective interpretation.
At Panikcure, we are building towards a simple idea:

"Measuring neural drug activity beyond placebo."