Recipient of PKM Funding 2023
Recipient of PKM Funding 2023
Recipient of PKM Funding 2023
Overview
In January 2023, our team received funding from the Ministry of Education, Culture, Research, and Technology (Kemendikbudristek) through the PKM-KC program at Universitas Gadjah Mada (UGM) for our innovative health-tech project, FingerSense. This AI-driven system uses near-infrared sensors to non-invasively monitor multiple vital health markers, namely blood glucose, cholesterol, uric acid, hemoglobin, and oxygen saturation, by analyzing features captured through a simple fingertip scan. Instead of painful blood draws, FingerSense provides an efficient, accessible, and quick alternative for continuous health monitoring.
Overview
In January 2023, our team received funding from the Ministry of Education, Culture, Research, and Technology (Kemendikbudristek) through the PKM-KC program at Universitas Gadjah Mada (UGM) for our innovative health-tech project, FingerSense. This AI-driven system uses near-infrared sensors to non-invasively monitor multiple vital health markers, namely blood glucose, cholesterol, uric acid, hemoglobin, and oxygen saturation, by analyzing features captured through a simple fingertip scan. Instead of painful blood draws, FingerSense provides an efficient, accessible, and quick alternative for continuous health monitoring.
Findings
Advanced Non-Invasive Medical Technology
FingerSense builds upon proven sensor-based approaches (e.g., MAX30105, MLX90614), offering the promise of reliable health metrics without drawing blood.AI-Powered Health Analytics
Our system employs AI models, trained to recognize physiological patterns from sensor data, to accurately estimate various health indicators. This strategy aligns with emerging trends in AI-driven biosensors for health monitoring.Strong Institutional Backing
Funding was secured through the competitive PKM-KC program of Kemendikbudristek, which supports practical student innovation. UGM continues to lead nationally in PKM proposals and funding.Prototype Efficacy & Future Potential
Early-stage data indicates promising prediction accuracy across multiple biomarkers, showcasing the system’s potential to improve patient comfort and monitoring frequency. Our next steps involve refining AI models, improving sensor calibration, and launching user studies to validate performance in real-world settings.Innovation through Collaboration
FingerSense stands as a multidisciplinary success, bringing together hardware, AI, and health data analytics, with support from the university and government agencies to deliver meaningful societal impact.
Securing Kemendikbudristek funding for FingerSense validates the feasibility of accessible, AI-powered healthcare tools. This achievement highlights my strengths in multidisciplinary innovation, AI development, and applied health technologies. It also sets the stage for further development toward clinical validation and broader impact in patient-centered monitoring.
You can find the announcement here
Findings
Advanced Non-Invasive Medical Technology
FingerSense builds upon proven sensor-based approaches (e.g., MAX30105, MLX90614), offering the promise of reliable health metrics without drawing blood.AI-Powered Health Analytics
Our system employs AI models, trained to recognize physiological patterns from sensor data, to accurately estimate various health indicators. This strategy aligns with emerging trends in AI-driven biosensors for health monitoring.Strong Institutional Backing
Funding was secured through the competitive PKM-KC program of Kemendikbudristek, which supports practical student innovation. UGM continues to lead nationally in PKM proposals and funding.Prototype Efficacy & Future Potential
Early-stage data indicates promising prediction accuracy across multiple biomarkers, showcasing the system’s potential to improve patient comfort and monitoring frequency. Our next steps involve refining AI models, improving sensor calibration, and launching user studies to validate performance in real-world settings.Innovation through Collaboration
FingerSense stands as a multidisciplinary success, bringing together hardware, AI, and health data analytics, with support from the university and government agencies to deliver meaningful societal impact.
Securing Kemendikbudristek funding for FingerSense validates the feasibility of accessible, AI-powered healthcare tools. This achievement highlights my strengths in multidisciplinary innovation, AI development, and applied health technologies. It also sets the stage for further development toward clinical validation and broader impact in patient-centered monitoring.
You can find the announcement here