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Transforming Health with AI

Harnessing data to enhance patient outcomes and insights.

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Data Analysis Tools

Identify patterns and anomalies in real-time.

Personalized Feedback

Receive tailored insights based on your data.

Real-Time Monitoring
Expert Evaluations

Innovative Solutions for Health Monitoring

At Morris Tompakov, we leverage advanced AI to analyze wearable sensor data, enhancing patient outcomes through real-time detection of health patterns and personalized feedback based on extensive clinical research.

A smartwatch is worn on a wrist, displaying the time, date, and various health-related data points on its screen. Behind it, a smartphone with a colorful display sits on a surface.
A smartwatch is worn on a wrist, displaying the time, date, and various health-related data points on its screen. Behind it, a smartphone with a colorful display sits on a surface.
Empowering Health Through Technology
Transforming Data into Insights

Our mission is to refine healthcare analytics by utilizing GPT-4, ensuring timely identification of health issues and delivering tailored insights that improve patient care and engagement through rigorous evaluation and user feedback.

Advanced Wearable Analytics

Leveraging AI to enhance health insights from wearable sensor data for better patient outcomes.

A person is wearing a smartwatch on their wrist, with the display showing health-related information such as blood oxygen levels and time under 90%. The person is interacting with the watch, touching the screen with their fingers.
A person is wearing a smartwatch on their wrist, with the display showing health-related information such as blood oxygen levels and time under 90%. The person is interacting with the watch, touching the screen with their fingers.
Data Stream Analysis

Detecting patterns and anomalies in real-time health data for proactive care.

Algorithm Development

Creating tailored algorithms for personalized health monitoring and feedback based on user data.

Performance Evaluation

Assessing model accuracy and user feedback through simulated real-time scenarios and expert comparisons.

Data Insights

Analyzing sensor data for health events and user feedback.

A person holds a bright pink wearable device in one hand while interacting with a smartphone in the other hand. The smartphone screen displays a graph with lines and numerical data, suggesting a tracking or monitoring application. The background consists of a soft, neutral-toned surface with a partial view of a box.
A person holds a bright pink wearable device in one hand while interacting with a smartphone in the other hand. The smartphone screen displays a graph with lines and numerical data, suggesting a tracking or monitoring application. The background consists of a soft, neutral-toned surface with a partial view of a box.
Pattern Detection

Identifying health anomalies using advanced data algorithms.

A close-up of an arm wearing a smart watch with a black strap, displaying various health and activity metrics including a step counter and heart rate monitor, set against a blurred green leaf background.
A close-up of an arm wearing a smart watch with a black strap, displaying various health and activity metrics including a step counter and heart rate monitor, set against a blurred green leaf background.
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A smartwatch displays various health and activity metrics, including heart rate and activity rings, in a dimly lit environment. The screen is brightly lit with colorful graphics, providing a sharp contrast against the dark surroundings. The watch is worn on a wrist adorned with multiple beaded bracelets, adding a touch of personal style.
A smartwatch displays various health and activity metrics, including heart rate and activity rings, in a dimly lit environment. The screen is brightly lit with colorful graphics, providing a sharp contrast against the dark surroundings. The watch is worn on a wrist adorned with multiple beaded bracelets, adding a touch of personal style.
A person holds a smartphone displaying the Samsung Health app, showing metrics such as daily activity, steps, calories, and exercise data. The individual also wears a smartwatch on their wrist, which has a colorful display indicating health statistics.
A person holds a smartphone displaying the Samsung Health app, showing metrics such as daily activity, steps, calories, and exercise data. The individual also wears a smartwatch on their wrist, which has a colorful display indicating health statistics.
Algorithm Development

Creating models for real-time data analysis and evaluation.

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Get in Touch with Us

Contact us for inquiries about our innovative data analysis solutions.

A person wearing a smartwatch writes on a notepad while using a tablet that displays medical images. A stethoscope is positioned close by on a white desk, suggesting a medical setting.
A person wearing a smartwatch writes on a notepad while using a tablet that displays medical images. A stethoscope is positioned close by on a white desk, suggesting a medical setting.
Insights

Harnessing data for personalized health monitoring solutions.

Innovation

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