Clinical Research • Epidemiology • Biostatistics • Auditable AI

Advancing rigorous clinical research through methodological expertise and auditable AI.

Boston LearnHealth develops research methods and AI-enabled tools to improve the rigor, traceability, and efficiency of clinical research.

About

Boston LearnHealth

Boston LearnHealth is an early-stage research and technology company focused on improving the rigor, efficiency, and transparency of clinical and real-world evidence research.

We combine expertise in epidemiology, biostatistics, clinical research methodology, and research technology to develop practical methods and tools that support better study design, methodological review, and evidence generation.

Our work emphasizes scientific validity, reproducibility, traceability, and meaningful human oversight.

What we do

Rigorous methods for better clinical research.

Clinical Research Design & Methodology

Study design, statistical planning, quantitative methods, and methodological review for clinical and population-health research.

Real-World Evidence & Analytics

Design and analysis strategies for observational and real-world data, with emphasis on reproducibility, transparency, and scientific validity.

Research Technology Development

Development of structured, auditable tools that support research design, review, verification, and evidence generation while preserving expert oversight.

Under development

ARA — Auditable Research Assistant

ARA is an AI platform under development to support auditable methodological review and design intelligence for clinical research. ARA is being built to identify potentially material statistical and study-design issues, trace findings to source evidence, and support expert scientific judgment.

01

Structured Research Intelligence

Convert complex protocols and research documents into structured, source-traceable representations.

02

Methodological Verification

Identify potentially important statistical, study-design, and cross-section inconsistencies for expert review.

03

Evidence-Linked Human Oversight

Present findings with supporting evidence so researchers can evaluate, accept, reject, and resolve them transparently.

ARA is currently in research and validation. Initial development focuses on clinical research protocol review and methodological verification.

Founder

Ki-Do Eum, PhD

Founder | Epidemiologist & Biostatistician

Dr. Eum has more than 17 years of experience in epidemiology, biostatistics, clinical research methodology, and quantitative health research across academic and Harvard-affiliated research environments.

His work has included clinical and implementation study design, statistical analysis planning, simulation-based methods, real-world data research, and methodological consulting.

He leads the development and validation of ARA and Boston LearnHealth’s research-methodology initiatives.

Contact

Boston LearnHealth

For research, collaboration, or technology inquiries, please contact Boston LearnHealth.

contact@bostonlearnhealth.com

bostonlearnhealth.com