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Session Introduction: Digital health technology data in biocomputing: Research efforts and considerations for

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Digital health technologies (DHTs) offer valuable data for biomedical research. Expanding access to private sector DHT data can drive innovative analytics and democratize academic research.

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Area of Science:

  • Biomedical Research
  • Digital Health Technologies
  • Data Science

Background:

  • Digital health technologies (DHTs), including wearables, are rapidly advancing with significant private sector investment.
  • Academic institutions are increasingly collaborating with tech companies for DHT research to improve patient care and disease prevention.
  • Most wearable sensor data is held by private companies, limiting academic research access.

Purpose of the Study:

  • To explore research leveraging DHTs and wearable sensor data.
  • To present novel analytical methods for DHT data.
  • To address diversity, equity, and inclusion (DEI) in DHT research and data.

Main Methods:

  • Solicited research results on DHT applications in health.
  • Encouraged submissions on novel analytical methods for sensor data.
  • Focused on opportunities for democratizing academic research with DHT data.

Main Results:

  • Research presented utilized digital health technologies and wearable sensor data.
  • Novel analytical methods were described.
  • Discussions included DEI in research data and the research community.

Conclusions:

  • Expanded access to private sector DHT data presents opportunities for innovative analytics.
  • Democratizing academic research using wearable sensor data is crucial.
  • Addressing DEI is essential for equitable advancement in DHT research.