Wearables & Vitals
Pair children with Garmin-style wearables to monitor sleep, heart-rate patterns, HRV, movement, and early warning signals.
View moduleBeta testing ยท Launching Q4 2026
RubyHealth helps families of children with PANDAS, ADHD, autism, and other neurodevelopmental conditions track health signals, behavior patterns, and medication responses in one place to share clearer context with their clinicians.
Wearable trends and family notes surfaced for timely review.
Core services
Pair children with Garmin-style wearables to monitor sleep, heart-rate patterns, HRV, movement, and early warning signals.
View module
Parents can type or use voice-to-text from a mobile app or watch flow to log symptoms, behaviour, diet, routines, and context.
View module
Doctors can open a clear summary of vitals, logs, medication, and warning trends to support better informed clinical decisions.
View module
About RubyHealth
RubyHealth brings patient vitals, sleep patterns, diet notes, exercise or sport logs, current medication, and warning signals into one dashboard so doctors and families can review the full picture.
Built for families navigating complex diagnoses like PANDAS, where early intervention and pattern recognition are critical, RubyHealth brings together wearable vitals, daily observations, medication tracking, and clinician-friendly summaries to support better conversations.
Read more about RubyHealthComing Q4 2026
Care modules
Meet the team
Longitudinal context
RubyHealth aims to track changes across vitals, sleep, journal notes, medication, diet, and activity so families and clinicians can review rising patterns before a flare-up escalates.
Discuss Pilot Access
Research context
Learn how sudden neuropsychiatric symptoms, immune triggers, and flare patterns are framed for family education.
Read education page
Initial pilots will focus on Garmin watches, parent mobile logs, and doctor review workflows before broader integrations.
View integration plan
Review key papers on inflammation, HRV, sleep, smartwatch signals, and PANS/PANDAS clinical evaluation.
Open references