Study cognitive and functional change in everyday life
See how cognition, migraine, fatigue, mobility, sleep, and mood change between clinic visits, with continuous wearable signals and repeated patient- and caregiver-reported outcomes.
Neurological change is gradual, variable, and hard to see in the clinic
Alzheimer's disease, MS, migraine, and Parkinson's progress or fluctuate over years, while clinic assessments capture only a few moments.
The gap
What today's data miss
- How cognition, mobility, and function change between assessments
- How migraine attacks, fatigue, or relapses affect daily life
- Which everyday signals may precede measurable decline
- How sleep, activity, and mood relate to disease activity
Open questions
What life sciences teams are asking
- Can wearable and smartphone signals detect early change?
- How do migraine frequency, triggers, and response vary?
- What do fatigue, mobility, and relapses look like in MS?
- Which digital measures could inform future endpoints?
Our approach
Measuring change in everyday life
- Longitudinal tracking of cognition, symptoms, and function
- High-frequency diaries for attacks, fatigue, and relapses
- Passive activity, sleep, and step-pattern signals
- Exploratory digital measures alongside clinical scales
Data for a better understanding of neurological conditions
Continuous engagement with patients and caregivers captures longitudinal data across cognition, symptoms, and behavior.
- Age, sex, gender identity, race and ethnicity
- Income, education, employment, household
- Insurance, out-of-pocket costs, affordability
- Access barriers: transportation, food, care
- Attacks, fatigue, pain, mood, cognitive complaints
- MIDAS, HIT-6, MSIS-29, PHQ-9
- Caregiver-reported changes in function
- Activity, step patterns, sleep, heart rate
- Work, social participation, daily function
- Routine changes linked to disease activity
- Medication history, persistence, adherence
- Switching and reported response
- Acute vs. preventive use, side effects
- Smartphone cognitive and motor tasks
- Mobility, sleep regularity, daily routine
- Feasibility data for future endpoints
- Progression, attack frequency, severity
- Variability in treatment response
- Quality of life and daily function
- Diagnoses, imaging, or labs (EHR), where available
- Neurology visits, procedures, treatments
- Healthcare utilization across settings
- Cognitive, functional, symptom trajectories
- Functional impact and quality of life
- Long-term response and disease control
Inside a neurology study
With Lilly, we looked for digital signals of cognitive decline in everyday devices.
Study design
Question
Can everyday consumer devices distinguish people with cognitive impairment from healthy controls?
Design
12-week prospective, observational feasibility study.
Data
Smartphone, smartwatch, tablet, and sleep-sensor signals, plus app tasks and surveys.
Outcome
Digital features that differed between groups.
Real-world insights in neurology
Research, webinars, and news from our work with people living with neurological conditions.
Let's design your next study
Tell us the question you need to answer. Our scientists will show you which cohorts, data types, and study designs can get you there, and how quickly.