Science & Data · 2026
Sixteen deep-read peer-reviewed papers organized in three tracks, plus seven further citations referenced across them. The clinical track establishes why hydration matters — prevalence, cognition, mortality, aging, and thirst-system dysfunction. The measurement-science track establishes that machine learning on PPG waveforms is a defensible way to infer volume status. Together they frame the category we're building.
Eight peer-reviewed papers establishing the prevalence and consequences of dehydration — cognitive decline, mortality risk, kidney stress, and outcomes in older adults. All deep-read with full methods and COI vetted.
Six supporting papers: pediatric prevalence in obese children, nationally representative US pediatric hydration (Harvard, 54.5% dehydrated), age-related thirst reflex breakdown, the mood-at-1.4% threshold, foundational hydration physiology, and broad disease association (two Armstrong papers with industry-funding disclosures).
Two peer-reviewed papers establishing that machine learning on PPG waveforms is a defensible way to infer volume status — the scientific foundation of Aqoir's approach.
Works cited repeatedly across our deep-read papers. These form the broader evidence base the core literature rests on, and include the specific primary studies that our deep-read papers use to support their strongest claims (e.g., the Curhan and Borghi series for kidney stones, the Kenney pediatric work, and the Warren hospital-burden data).