#Japan #AI Technology #Tokyo #Tech Doctor #SelfBase

Tech Doctor Expands 'SelfBase' Features with AI Innovations

In a substantial move to transform clinical research, Tech Doctor, headquartered in Chuo, Tokyo, has announced the expansion of its cutting-edge clinical research support system, 'SelfBase'. This platform leverages wearable data and has recently introduced new functionalities aimed at streamlining data acquisition through advanced artificial intelligence (AI) technology.

What is SelfBase?

SelfBase is a specialized platform designed to analyze vast amounts of data derived from various wearable devices and medical equipment. By enabling easy management and analysis of this continuous data, SelfBase has already been utilized in over 100 research studies, demonstrating its effectiveness and reliability in the field.

Introduction of New Features

The latest enhancement incorporates an AI-driven data acquisition support feature and a user-friendly application for participants that simplifies data collection from the widely-used Apple Watch. This capability not only facilitates the involvement of a large number of test subjects but also supports diverse types of devices, ensuring that high-quality data can be collected and analyzed effectively to improve research outcomes.

AI-Powered Data Acquisition Support

The AI-driven support functionality is pivotal for effective data collection in clinical research. Participants must consistently wear their devices to ensure uninterrupted data flow. Previously, researchers needed to manually monitor data acquisition and address any anomalies, which involved significant resources and costs. With SelfBase, AI now automatically monitors each participant's data collection status, detecting data losses or irregularities and providing timely alerts and recommendations.

Furthermore, the AI is designed to consider individual baseline behaviors, taking into account variances between weekdays and weekends. This dynamic analysis feature aims to enhance the detection of abnormal patterns, which might be missed under conventional uniform standards. In instances of detected issues, the AI suggests appropriate intervention strategies, allowing efficient management even in large-scale studies involving up to 1,000 participants.

Enhanced Participant App

In addition to the AI support feature, Tech Doctor has launched a dedicated application for participants. With just the download of the app and scanning a QR code, users can easily consent to data sharing and establish connections through Apple Health. This streamlined process significantly simplifies engagement in research programs that utilize the Apple Watch, the most prevalent wearable device in Japan.

Tech Doctor also extends its support to researchers regarding the procurement and configuration of Apple Watches, ensuring a seamless experience. Options available allow for existing devices to be utilized or tailored equipment to be selected based on research protocols.

Future expansions of the app include easy integration with other major wearables such as Fitbit and the incorporation of electronic patient-reported outcomes (ePRO), previously accessible only via web interfaces. This evolution will further reduce reliance on traditional paper methods, enhancing the accuracy and reliability of data collection.

The Advantages for Researchers

For pharmaceutical companies, food industry enterprises, and academic researchers, the integration of Apple Watch into study designs enables increased flexibility in their research frameworks while ensuring quality data collection. The potential for stable, high-quality data collection from various devices fosters reliability in research outcomes.

Moreover, for CROs and research support professionals, the app simplifies the workflow from data consent gathering to connection establishment, significantly easing the participant management burden. Automation of data verification through AI reduces the likelihood of human error, thereby enhancing overall research fidelity and allowing for quick responses to any potential measurement discrepancies or interruptions.

Tech Doctor's Commitment

Tech Doctor is dedicated to assisting clinical research comprehensively, from research design development to digital biomarker implementation. The continued enhancement of SelfBase and its functionalities aims to provide even more robust support for researchers and businesses employing wearable devices for their studies.

With a vision of ushering in an era where data promotes better health (「データで調子をよくする時代へ」), Tech Doctor collaborates with various sectors, advancing the societal integration of digital biomarkers and personalized healthcare solutions.

For additional information or inquiries, please visit Tech Doctor's official website.

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About SelfBase
SelfBase is a clinical research support system tailored for the medical, pharmaceutical, food, and research sectors, utilizing wearable data to provide valuable insights for clinical studies, disease prediction, and behavior modification. The system operates in accordance with established regulatory guidelines, ensuring reliable and secure data management.

About Tech Doctor
With a mission to provide high-quality digital healthcare solutions, Tech Doctor is focused on developing digital biomarkers through everyday sensing data, aiming to provide personalized medical insights that cater to individual health needs.