Clinical evaluation and quantitative validation for mental health platforms & applications

Keystone Neuroinformatics is seeking collaborations with healthcare, biotechnology, pharmaceutical, digital health, and AI organizations developing clinical decision support tools, digital therapeutics, digital biomarkers, predictive analytics, patient engagement platforms, and healthcare AI applications.

This project focuses on independent evaluation, validation, and translation of AI technologies for real-world healthcare use. Activities may include clinical relevance assessment, benchmarking, literature review, evidence synthesis, dataset evaluation, digital biomarker strategy, human-AI workflow analysis, safety and bias assessment, model performance interpretation, and validation frameworks for research, regulatory, or operational objectives.

Our expertise spans psychiatry, psychopharmacology, neuroscience, clinical research, healthcare analytics, machine learning, and responsible AI implementation, supported by a history of peer-reviewed publications, scientific presentations, and patent activity. Potential collaborations include advisory engagements, pilot studies, product evaluation, protocol design, publication support, grant development, and independent scientific review, with interest in mental health technologies, digital biomarkers, patient stratification, clinical decision support, and responsible deployment of AI-enabled healthcare solutions.