SureMediks provides clinical researchers, academic centres and public health bodies access to structured longitudinal biomarker datasets via Open API โ the same platform and evidence infrastructure behind our Springer Nature 2024 peer-reviewed publication.
A multinational 24-week interventional study of 391 participants demonstrating the clinical effectiveness of AI-guided metabolic management across a BMI range of 20โ78. Published in Springer Nature's Obesity Surgery journal.
View Publication โ DOI: 10.1007/s11695-024-07209-1Real-time interstitial glucose from Dexcom-compatible devices โ 288 readings per patient per day. Time-in-range, postprandial response, glycaemic variability.
Smart scale data โ weight, BMI, body fat %, lean mass, visceral fat, hydration. Longitudinal trends and weekly delta.
Blood pressure (systolic/diastolic/pulse), resting heart rate, HRV from smart ring and BP monitors. Metabolic-CV correlation.
Macro tracking, ketone monitoring, nutrition compliance scoring. AI-calculated metabolic efficiency and nutritional deficiency flags.
Smart ring and wearable data โ steps, activity intensity, sleep stages, recovery scoring. Sleep-glucose interaction analysis.
LabCorp API integration โ HbA1c, lipid panels, liver function, inflammatory markers pulled automatically. Longitudinal biomarker tracking.
From data licensing to full prospective study partnerships โ we work with academic centres and public health bodies at every level.
De-identified aggregate metabolic datasets via structured JSON API. Suitable for population-level research, systematic reviews and retrospective analyses.
Co-design a prospective metabolic study using SureMediks as the data collection and intervention platform. We provide the full device ecosystem and AI protocol.
Deploy SureMediks as your DCT platform โ remote recruitment, biometric data collection, and AI-driven protocol adherence monitoring at scale.
Population-level metabolic epidemiology research โ longitudinal datasets across diverse populations, geographies and BMI ranges.
Access the most comprehensive AI-driven metabolic research platform available to academic partners.