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Scientific Services

End-to-End Scientific Support to Accelerate Clinical Development

 

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Optimize Clinical Insights from Continuous Sensor Data

Study teams often struggle to demonstrate clinical benefit with traditional clinical outcome measures (COAs), which are often based on episodic and subjective ratings. The ActiGraph Science Team supports the study team to capture meaningful clinical outcome measures, remotely and continuously, using sensor-based Digital Health Technologies (DHTs) throughout the clinical development lifecycle, so they can deliver the right treatments to the right patients faster.

Endpoint Design

Endpoint Design

Select and design the DHTs for the context of use and support the content validation of meaningful aspect of health.

Algorithm Validation

Algorithm Validation

Develop, validate, and implement algorithms that are fit-for-purpose for the context of use.

Biostatistical Analysis

Biostatistical Analysis

Provide consultation and full services for biostatistical analysis of the digital endpoints.

Regulatory Engagement

Regulatory Engagement

Support regulatory engagement with our experience, knowledge, and documentations.


ActiGraph Science Team

Sensor-based DHTs are inherently more complex than traditional clinical measures. To help study teams maximize the benefit of DHTs, ActiGraph has built a world-class team of engineers, data scientists, biostatisticians, and clinical scientists. Our multidisciplinary team provides end-to-end services to tailor the application of DHTs to the clinical hypotheses and reveal the otherwise invisible clinical insights derived from high-quality sensor data.

Christine Guo, PhD

Christine Guo, PhD

Chief Scientific Officer

Rakesh Pilkar, PhD

Rakesh Pilkar, PhD

Senior Data Scientist

Ali Neishabouri, PhD

Ali Neishabouri, PhD

Head of Data Science

Dawid Gerstel, PhD

Dawid Gerstel, PhD

Data Engineer

Matthew Patterson, PhD

Matthew Patterson, PhD

Senior Data Scientist

Sylvain Zorman, PhD

Sylvain Zorman, PhD

Director Digital Health Sciences

All Publications

Featured Publications

All Publications
Treating insomnia symptoms with medicinal cannabis: arandomized, crossover trial of the efficacy of a cannabinoid medicine compared with placebo - Jennifer H. Walsh et al. (2021)
A Randomized, Double-Blind, Placebo-Controlled Study to Assess the Safety and Efficacy of Pulsed, Inhaled Nitric Oxide at a Dose of 30 mg/kg Ideal Body Weight/hr in Subjects at Risk of Pulmonary Hypertension Associated With Pulmonary Fibrosis Receiving Oxygen Therapy - Nathan et al., (2020)
Sensory-Evoked 40-Hz Gamma Oscillation Improves Sleep and Daily Living Activities in Alzheimer’s Disease Patients - Cimenser et al., (2021)
Validation of open-source step-counting algorithms for wrist-worn tri-axial accelerometers in cardiovascular patients - Femiano et al., (2022)
Prospective Examination of Objectively Assessed Physical Activity and Sedentary Time after Breast Cancer Treatment: Sitting on the Crest of the Teachable Moment - Sabiston et al., (2014)
Methods to estimate aspects of physical activity and sedentary behavior from high-frequency wrist accelerometer measurements - Staudenmayer et al., (2015)

Schedule a Meeting with Our Science Team

Schedule a meeting with a member of our Science Team to learn more and receive personalized guidance on maximizing the benefits of digital health technologies (DHTs) throughout the clinical development lifecycle.