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Case Study

Sub-Clinical Mood Disorders

A government agency is aiming to identify digital biomarkers of depressive and anxious feelings. The agency needed to capture both objective and subjective data for analysis.

CNS
Download the PDF

Challenge

The Singapore Institute for Clinical Sciences—a division of the Agency for Science, Technology and Research (A*STAR)—needed to capture data on symptoms of subclinical mood disturbances, with the goal of identifying digital biomarkers of depressive and anxious feelings.

‍

Solution

  • The study was also designed to capture subjective and objective data to see what insights and correlations could be gleaned from the two data sets.
  • Subjective: Participants answered questionnaires using ObvioGo®.
  • Objective: Participants wore a FitBit to capture data on sleep, activity, heartrate, skin temperature, and blood oxygen.
  • Objective: Participants collected stool samples using an easy at-home kit and submitted them for gut microbiome analysis.

‍

Study Design

  • Fully Virtual
  • ePRO
  • Sensors and Wearables
  • Telehealth
  • Remote Screening

‍

The study is currently 93% enrolled. There are no drop-outs among participants who have signed consent.
Case Study

Sub-Clinical Mood Disorders

CNS
Download the PDF

Challenge

The Singapore Institute for Clinical Sciences—a division of the Agency for Science, Technology and Research (A*STAR)—needed to capture data on symptoms of subclinical mood disturbances, with the goal of identifying digital biomarkers of depressive and anxious feelings.

‍

Solution

  • The study was also designed to capture subjective and objective data to see what insights and correlations could be gleaned from the two data sets.
  • Subjective: Participants answered questionnaires using ObvioGo®.
  • Objective: Participants wore a FitBit to capture data on sleep, activity, heartrate, skin temperature, and blood oxygen.
  • Objective: Participants collected stool samples using an easy at-home kit and submitted them for gut microbiome analysis.

‍

Study Design

  • Fully Virtual
  • ePRO
  • Sensors and Wearables
  • Telehealth
  • Remote Screening

‍

The study is currently 93% enrolled. There are no drop-outs among participants who have signed consent.
Case Study

Sub-Clinical Mood Disorders

A government agency is aiming to identify digital biomarkers of depressive and anxious feelings. The agency needed to capture both objective and subjective data for analysis.

CNS
Download the PDF

Challenge

The Singapore Institute for Clinical Sciences—a division of the Agency for Science, Technology and Research (A*STAR)—needed to capture data on symptoms of subclinical mood disturbances, with the goal of identifying digital biomarkers of depressive and anxious feelings.

‍

Solution

  • The study was also designed to capture subjective and objective data to see what insights and correlations could be gleaned from the two data sets.
  • Subjective: Participants answered questionnaires using ObvioGo®.
  • Objective: Participants wore a FitBit to capture data on sleep, activity, heartrate, skin temperature, and blood oxygen.
  • Objective: Participants collected stool samples using an easy at-home kit and submitted them for gut microbiome analysis.

‍

Study Design

  • Fully Virtual
  • ePRO
  • Sensors and Wearables
  • Telehealth
  • Remote Screening

‍

The study is currently 93% enrolled. There are no drop-outs among participants who have signed consent.
Case Study

Sub-Clinical Mood Disorders

CNS
Download the PDF

Challenge

The Singapore Institute for Clinical Sciences—a division of the Agency for Science, Technology and Research (A*STAR)—needed to capture data on symptoms of subclinical mood disturbances, with the goal of identifying digital biomarkers of depressive and anxious feelings.

‍

Solution

  • The study was also designed to capture subjective and objective data to see what insights and correlations could be gleaned from the two data sets.
  • Subjective: Participants answered questionnaires using ObvioGo®.
  • Objective: Participants wore a FitBit to capture data on sleep, activity, heartrate, skin temperature, and blood oxygen.
  • Objective: Participants collected stool samples using an easy at-home kit and submitted them for gut microbiome analysis.

‍

Study Design

  • Fully Virtual
  • ePRO
  • Sensors and Wearables
  • Telehealth
  • Remote Screening

‍

The study is currently 93% enrolled. There are no drop-outs among participants who have signed consent.
Case Study

Sub-Clinical Mood Disorders

CNS
Download the PDF

Challenge

The Singapore Institute for Clinical Sciences—a division of the Agency for Science, Technology and Research (A*STAR)—needed to capture data on symptoms of subclinical mood disturbances, with the goal of identifying digital biomarkers of depressive and anxious feelings.

‍

Solution

  • The study was also designed to capture subjective and objective data to see what insights and correlations could be gleaned from the two data sets.
  • Subjective: Participants answered questionnaires using ObvioGo®.
  • Objective: Participants wore a FitBit to capture data on sleep, activity, heartrate, skin temperature, and blood oxygen.
  • Objective: Participants collected stool samples using an easy at-home kit and submitted them for gut microbiome analysis.

‍

Study Design

  • Fully Virtual
  • ePRO
  • Sensors and Wearables
  • Telehealth
  • Remote Screening

‍

The study is currently 93% enrolled. There are no drop-outs among participants who have signed consent.
Case Study

Sub-Clinical Mood Disorders

A government agency is aiming to identify digital biomarkers of depressive and anxious feelings. The agency needed to capture both objective and subjective data for analysis.

Download the PDF
CNS

Challenge

The Singapore Institute for Clinical Sciences—a division of the Agency for Science, Technology and Research (A*STAR)—needed to capture data on symptoms of subclinical mood disturbances, with the goal of identifying digital biomarkers of depressive and anxious feelings.

‍

Solution

  • The study was also designed to capture subjective and objective data to see what insights and correlations could be gleaned from the two data sets.
  • Subjective: Participants answered questionnaires using ObvioGo®.
  • Objective: Participants wore a FitBit to capture data on sleep, activity, heartrate, skin temperature, and blood oxygen.
  • Objective: Participants collected stool samples using an easy at-home kit and submitted them for gut microbiome analysis.

‍

Study Design

  • Fully Virtual
  • ePRO
  • Sensors and Wearables
  • Telehealth
  • Remote Screening

‍

The study is currently 93% enrolled. There are no drop-outs among participants who have signed consent.
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Case Study

Sub-Clinical Mood Disorders

A government agency is aiming to identify digital biomarkers of depressive and anxious feelings. The agency needed to capture both objective and subjective data for analysis.

CNS
Download the PDF

Challenge

The Singapore Institute for Clinical Sciences—a division of the Agency for Science, Technology and Research (A*STAR)—needed to capture data on symptoms of subclinical mood disturbances, with the goal of identifying digital biomarkers of depressive and anxious feelings.

‍

Solution

  • The study was also designed to capture subjective and objective data to see what insights and correlations could be gleaned from the two data sets.
  • Subjective: Participants answered questionnaires using ObvioGo®.
  • Objective: Participants wore a FitBit to capture data on sleep, activity, heartrate, skin temperature, and blood oxygen.
  • Objective: Participants collected stool samples using an easy at-home kit and submitted them for gut microbiome analysis.

‍

Study Design

  • Fully Virtual
  • ePRO
  • Sensors and Wearables
  • Telehealth
  • Remote Screening

‍

The study is currently 93% enrolled. There are no drop-outs among participants who have signed consent.

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