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Advanced Data Analytics Engine for Personalized
Medicine:
The platform leverages the power of machine learning (ML) algorithms to analyze the vast amount of data collected from various sources. These algorithms go beyond simply identifying trends in the data and offer a more sophisticated level of analysis:
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Predictive Modeling: ML algorithms can be used to identify patient subgroups who are at higher risk of relapse or who may respond better to specific treatment regimens. This allows for proactive interventions and personalized treatment plans tailored to individual needs.
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Unsupervised Learning: Algorithms like K-means clustering, and principal component analysis can find hidden patterns in the data without needing labeled outcomes. This is particularly useful for exploring complex patient data collected remotely and discovering insights that were not previously considered.
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Real-time Insights: The platform can analyze real-time data from wearable sensors and medication usage to provide healthcare professionals with insights that can inform treatment decisions on an ongoing basis. Also, AI algorithms specialized in analyzing time-ordered data can be critical for interpreting continuous health data. This enables healthcare professionals to adjust treatment plans quickly and effectively based on a patient's evolving needs.
Prototype nebulizers and commercial wearables receive parameters, deliver medication, and collect health metrics from a Decentralized Clinical Trials (DCT) participant.
Our patented smart pods ultrasonic nebulizer with variable frequencies and multiple cartridges will tap into the unexplored domain of nano-emulsion-water-soluble formulations.
Machine learning and AI use algorithms to provide predictive analysis and connect participants' data with external medical knowledge.
Hyperledger Fabric provides secure channels for IoT communications and smart contracts for HIPAA compliance.
Our patented two-pods module releases compounds at different temperatures & times, therefore Slyde is able to measure dominant compounds-dosages accurately.
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Web dashboard provides remote control of medication delivery and health monitoring augmented by AI predictive analysis.
Figure 1. IoT network securely connects user medical devices and healthcare providers.
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