Research

Our research teams investigate the safety, inner workings, and advances in health monitoring—so that new technologies have a positive impact as they become increasingly capable.

Research teams:
Interpretability Alignment Health Monitoring Clinical Research

Interpretability

Understanding how AI models and biosensing systems work internally, as a foundation for safety and trustworthy outcomes.

Alignment

Ensuring that AI systems remain helpful, honest, and aligned with human values as they become more capable.

Health Monitoring

Developing and validating continuous biosensing technologies for real-time health tracking and disease management.

Clinical Research

Conducting rigorous, peer-reviewed research into mast cell activation and neuroinflammation with clinical partners.

Neuropic Research
Health Monitoring · May 2, 2026

Real-time biosensing advances in mast cell research

New findings on how continuous monitoring reveals patterns in mast cell activation that were previously invisible to traditional diagnostic methods.
Clinical Research · Apr 28, 2026

Understanding neuroinflammation through continuous data

Our collaborative study demonstrates how real-time biosensing can provide unprecedented insights into inflammatory markers and patient outcomes.
AI Safety · Apr 20, 2026

Privacy-first approaches in health data collection

Exploring ethical frameworks for AI-assisted medical diagnosis while maintaining patient privacy and data sovereignty.
Interpretability · May 2, 2026

Natural Language Autoencoders: Turning Claude's thoughts into text

We develop natural language autoencoders that translate AI model internal representations into human-readable descriptions.
Interpretability · May 7, 2026

AI models like Claude talk in words but think in numbers

In this study we train Claude to translate its thoughts into human-readable text.
Policy · Dec 18, 2025

Project Vend: Phase two

In June, we revealed that we'd set up a small shop in our San Francisco office lunchroom, run by an AI shopkeeper.

Publications

Date Category Title
May 8, 2026 Health Monitoring Real-time biomarker detection in mast cell activation syndrome
May 7, 2026 Interpretability Understanding neural patterns in health prediction
Apr 30, 2026 Clinical Neuroinflammation markers in related conditions
Apr 22, 2026 Safety Privacy-first architecture for wearable health data
Apr 15, 2026 Alignment Ethical frameworks for AI-assisted medical diagnosis
Apr 8, 2026 Health Monitoring Continuous biosensing validation in patient cohorts
May 2, 2026 Interpretability Machine learning model interpretability in biosensing data analysis
Apr 25, 2026 Health Monitoring Patient empowerment through real-time health data access
Apr 18, 2026 Clinical Multi-omics integration for personalized medicine
Apr 10, 2026 Policy Regulatory considerations for AI medical devices
Apr 3, 2026 Health Monitoring Longitudinal biomarker tracking in chronic conditions
Mar 27, 2026 Safety Federated learning for distributed health data analysis
Mar 20, 2026 Health Monitoring Wearable sensor calibration and validation methods
Mar 13, 2026 Interpretability Deep learning for time series anomaly detection
Mar 6, 2026 Clinical Cross-platform data integration and harmonization
Feb 27, 2026 Health Monitoring Behavioral interventions driven by biosensing insights
Feb 20, 2026 Policy Real-world evidence generation from continuous monitoring
Feb 13, 2026 Clinical Patient stratification for precision treatment selection
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