Wednesday, June 12, 2024
Developing composite measures that track physical activity change in people with early-stage Parkinson’s disease using machine learning and wearable sensors
Parkinson’s Disease
Neurology
Digital Biomarkers
Powering high-fidelity research through precision measures, analytics and beyond
Digital Biomarkers
Closing the evidence generation gap
Generate and translate patient-centered digital measures of health into meaningful, real-world evidence for accelerating research and development through an end-to-end solution of hardware, software and machine learning.
Measuring with precision
Data capture
High-quality, real-world data
Effective digital measures start with engaging, effective devices. Fortify research with precision measures captured from devices that fit both your study and participant needs.
With Study Watch*, enable non-invasive, near real-time and effective long-term collection of participant data in real-world settings for investigational use across therapeutic areas.
Features
- Study Watch* built to allow remote collection of data
- Easy-to-use
- Configurable firmware
- Enable continuous data capture via 3-day battery life, biosensors and participant-engagement features
- Foundational for developing meaningful endpoints for observational and interventional studies
- Supports multiple languages
- Global deployment capabilities with our expert support
*Investigational use only. Exclusively for clinical investigation. Limited by Federal (or United States) law to investigational use.
Capturing across conditions
Supporting measurements in many investigational areas
- Cardiovascular: heart failure and atrial fibrillation
- Endocrine or metabolic: diabetes and obesity
- Central Nervous System and neuromuscular: Alzheimer’s Disease, Parkinson’s Disease and multiple sclerosis
- Respiratory: chronic obstructive pulmonary disease
- Oncology: carcinomas and sarcomas, hematologic
Analyzing with confidence
Data translation
Vetted, advanced algorithms
Demonstrating clinical and analytical viability of digital measures is imperative.
Through our digital biomarker platform, we help you derive fit-for-purpose, real-world evidence and study endpoints by leveraging raw data and reliable, proven algorithms to translate biometrics into digital biomarkers.
Features
- Cutting-edge software and machine learning
- Analytically validated, objective measures for sleep behavior, walking behavior, cardiac measures and motor function
- Centrally – and securely – stored data in the Cloud under a common data model
- Research-ready, and reference-able, raw sensor data for cross-analysis and algorithm development
- Aided by governance and provenance capabilities through the cloud
Supporting partner success
Other research services
Deep insights and oversight
The ability to generate evidence lags behind the pace of research, and the rapidly-growing digital biomarker space lacks clarity.
We partner with you to support novel evidence generation methods, and support your study success by helping keep a pulse on the evolving biomarker and regulatory landscape.
Features
- High-touch assistance from clinical, scientific, technology and regulatory industry-leaders
- Dedicated program manager to facilitate Verily services and coordinate with affiliated vendors
- Google Cloud data management
- Customer support — from around-the-clock technical, device assistance to direct participant and site support
- Global clinical ops for flexible, scalable solutions world-wide
- Consulting for protocol design, study workflows and enforcing standards of practice and regulations
- Data science guidance from world-class engineers and scientists, including analysis and reporting
The 'Virtual Motor Exam’, created by Verily and enabled by their Digital Biomarkers Platform, has allowed us to carry out remote neurological exams for Parkinson’s Disease that capture objective measures with high accuracy and confidence, offering the promise of faster, more accurate research.
Bas Bloem, MD, PhD, Professor of Neurology at Radboud University Medical Center, Nijmegen, The Netherlands
Leading the way in digital biomarkers
Enrich your clinical studies with raw, high-resolution and objective data that can be used and re-used for analysis and algorithms. And propel your research through development of algorithms that generate novel endpoints.
Latest Digital Biomarkers publications
Wednesday, June 12, 2024
Proposed framework to evaluate the ability of digital measures to track early stage Parkinson’s disease progression
Parkinson’s Disease
Neurology
Digital Biomarkers
Friday, May 24, 2024
Increasing psychopharmacology clinical trial success rates with digital measures and biomarkers: Future methods
Mental Health
Transforming research
Digital Biomarkers
Tuesday, May 7, 2024
Measuring Physical Functioning Using Wearable Sensors in Parkinson Disease and Chronic Obstructive Pulmonary Disease (the Accuracy of Digital Assessment of Performance Trial Study): Protocol for a Prospective Observational Study
Parkinson’s Disease
Neurology
Digital Biomarkers
Wednesday, April 03, 2024
Real-world walking behaviors are associated with early-stage heart failure: a Project Baseline Health Study
Cardiovascular Disease
Digital Biomarkers
Tuesday, September 26, 2023
Validation of a Deep Learning Algorithm for Continuous, Real-Time Detection of Atrial Fibrillation Using a Wrist-Worn Device in an Ambulatory Environment
Cardiovascular Disease
Digital Biomarkers
Friday, June 30, 2023
Real-life heart rate assessment: a digital biomarker for autonomic dysfunction in early Parkinson’s disease?
Parkinson’s Disease
Neurology
Digital Biomarkers
Friday, June 30, 2023
Real-life monitoring of Parkinson’s disease tremor: does the non-tremor subtype really exist?
Parkinson’s Disease
Neurology
Digital Biomarkers
Tuesday, June 13, 2023
Enhancing Participant Engagement in Clinical Studies: Strategies Applied in the Personalized Parkinson Project
Parkinson’s Disease
Neurology
Digital Biomarkers
Friday, April 21, 2023
Accuracy and Reliability of a Suite of Digital Measures of Walking Generated Using a Wrist-Worn Sensor in Healthy Individuals: Performance Characterization Study
Physical Activity
Walking Measures
Digital Biomarkers
Tuesday, March 14, 2023
Analytical and clinical validity of wearable, multi-sensor technology for assessment of motor function in patients with Parkinson's disease in Japan
Parkinson’s Disease
Neurology
Digital Biomarkers
Thursday, January 5, 2023
Wrist-worn sensor-based measurements for drug effect detection with small samples in people with Lewy Body Dementia
Parkinson’s Disease
Neurology
Digital Biomarkers
Monday, December 26, 2022
Lingering impacts on sleep following the Daylight Savings Time transition in the Project Baseline Health Study
Sleep
Digital Biomarkers
Friday, October 21, 2022.
An Algorithm to Classify Real-World Ambulatory Status From a Wearable Device Using Multimodal and Demographically Diverse Data: Validation Study
Physical Activity
Walking Measures
Digital Biomarkers
Monday, May 23, 2022
Virtual exam for Parkinson’s disease enables frequent and reliable remote measurements of motor function
Parkinson’s Disease
Neurology
Transforming research
Digital Biomarkers
Friday, March 19, 2021
Crowdsourcing Digital Health Measures to Predict Parkinson’s Disease Severity: The Parkinson’s Disease Digital Biomarker DREAM Challenge
Parkinson’s Disease
Neurology
Digital Biomarkers
Thursday, August 20, 2020
Deep Learning for Automated Sleep Staging Using Instantaneous Heart Rate
Sleep
Digital Biomarkers
Wednesday, December 11, 2019
Quantifying Neurologic Disease Using Biosensor Measurements In-Clinic and in Free-living Settings in Multiple Sclerosis
Parkinson’s Disease
Neurology
Digital Biomarkers
Wednesday, July 17, 2019
The Personalized Parkinson Project: examining disease progression through broad biomarkers in early Parkinson’s disease
Parkinson’s Disease
Neurology
Digital Biomarkers
*For investigational use only. Exclusively for clinical investigation. Limited by Federal (or United States) law to investigational use.