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AI/ML
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Transforming Research
Sorting Droplets Into Many Outlets
Thursday, October 7, 2021
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AI/ML
Comparative Analysis of Machine Learning Approaches to Classify Tumor Mutation Burden in Lung Adenocarcinoma Using Histopathology Images
Monday, August 16, 2021
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Mental Health
Toward a Mobile Platform for Real-world Digital Measurement of Depression: User-centered Design, Data Quality, and Behavioral and Clinical Modeling
Thursday, August 12, 2021
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COVID-19,
Workplace Wellness
A Holistic Approach for Suppression of COVID-19 Spread in Workplaces and Universities
Thursday, August 12, 2021
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Digital Biomarkers,
Mental Health
Classification and Prediction of Post-Trauma Outcomes Related to PTSD Using Circadian Rhythm Changes Measured via Wrist-Worn Research Watch in a Large Longitudinal Cohort
Sunday, August 8, 2021
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Mental Health
Importance of Social Determinants in Screening for Depression
Saturday, August 7, 2021
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Transforming Research
Return of Individual Research Results: What Do Participants Prefer and Expect?
Thursday, July 29, 2021
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COVID-19
Detection of SARS-CoV-2 in Wastewater is an Efficient and Scalable Approach for Community Infection Monitoring
Thursday, July 22, 2021
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Digital Biomarkers
A Novel Wearable Device for Continuous Temperature Monitoring & Fever Detection
Monday, July 19, 2021
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AI/ML,
Digital Biomarkers
Crowdsourcing Digital Health Measures to Predict Parkinson’s Disease Severity: The Parkinson’s Disease Digital Biomarker DREAM Challenge
Friday, March 19, 2021
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AI/ML
Deep Learning for Automated Sleep Staging Using Instantaneous Heart Rate
Thursday, August 20, 2020
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Transforming Research
The Project Baseline Health Study: a Step Towards a Broader Mission to Map Human Health
Friday, June 5, 2020
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AI/ML,
Digital Biomarkers
Quantifying Neurologic Disease Using Biosensor Measurements In-Clinic and in Free-living Settings in Multiple Sclerosis
Wednesday, December 11, 2019
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Digital Biomarkers
The Personalized Parkinson Project: Examining Disease Progression Through Broad Biomarkers in Early Parkinson’s Disease
Tuesday, July 9, 2019
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AI/ML
CANDI: An R Package and Shiny App for Annotating Radiographs and Evaluating Computer-Aided Diagnosis
Wednesday, May 1, 2019
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AI/ML
Deep Learning Predicts Hip Fracture Using Confounding Patient and Healthcare Variables
Tuesday, April 30, 2019
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AI/ML
Variable Generalization Performance of a Deep Learning Model to Detect Pneumonia in Chest Radiographs: A Cross-sectional Study
Friday, November 16, 2018
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AI/ML
Evaluating Convolutional and Recurrent Neural Network Architectures for Respiratory-Effort Related Arousal Detection During Sleep
Sunday, September 23, 2018
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