Obesity, Diabetes, Hypertension And Potentially Other Diseases
Powered By An Artificial Intelligence Foundation
Define
Early Correctives
To Disease Precursors
Visualize
Chronic And Seasonal Root Causes
To Health Markers Desviations
Reduce Costs
Of Public Or Private
Health Systems
Preventing
Obesity, Diabetes, Hypertension And Potentially Other Diseases
Powered By An Artificial Intelligence Foundation
Huge Global Impact
Diabetes
> 472
Million Individuals
Obesity
> 2000
Million Individuals
Hypertension
>1280
Million Individuals
I OptiaHealDTy Digital Twin Video
Enhance your prevention and therapeutic strategies, using the power of AI, to identify, predict, and propose correctives to deviations of lifestyle habits, which have high impact on deterioration of health markers, on short or long term time frames...
Health Markers Over Time (Trend Analysis)
The system allows real-time visualization of health markers or habits using timeline graphs to detect deviations that need further analysis. It monitors key indicators like blood glucose, blood pressure, heart rate, oxygen saturation, Body Mass Index, and nine lifestyle habits. These real-time insights help users stay informed about their health trends and take early action when necessary. For more details on tracked habits, the "Lifestyle Habits" tab provides additional information.
Dominant Habits vs Health Markers (Root Causes)
This feature identifies habits strongly associated with deviations in health markers over a specific period. It helps users focus on improving influential habits. Long-term analysis highlights chronic habits with lasting effects, while short-term analysis reveals seasonal habits. This approach enables users to take targeted action to improve their health by focusing on the most impactful habits.
Time Frame Comparisons
The system supports analyzing dominant habits over any time frame, allowing for the comparison of health markers and habits across different periods. Users can assess short-term or long-term changes, making it easier to understand how health evolves over time and adapt accordingly. This flexible feature is ideal for tracking progress and assessing the effectiveness of lifestyle changes.
Predictions & Alarms
The system predicts the evolution of key health markers over the next six hours and triggers alarms when critical thresholds are reached. For example, it warns when glucose, blood pressure, or oxygen saturation hits dangerous levels. This function allows users to respond early and prevent serious health incidents like strokes or cardiac events, promoting proactive health management.
Population Analysis
Segmentation & Dispersion
The system segments data by various criteria, enabling targeted analysis for specific population subgroups. It also identifies individuals whose health markers deviate from their group’s average, which can indicate hidden factors requiring investigation. These insights help identify trends and potential risks within different segments of the population, supporting focused health interventions.
Health Markers Over Time (Trend Analysis)
The system allows real-time visualization of health markers or habits using timeline graphs to detect deviations that need further analysis. It monitors key indicators like blood glucose, blood pressure, heart rate, oxygen saturation, Body Mass Index, and nine lifestyle habits. These real-time insights help users stay informed about their health trends and take early action when necessary. For more details on tracked habits, the "Lifestyle Habits" tab provides additional information.
See more...
Dominant Habits vs Health Markers (Root Causes)
This feature identifies habits strongly associated with deviations in health markers over a specific period. It helps users focus on improving influential habits. Long-term analysis highlights chronic habits with lasting effects, while short-term analysis reveals seasonal habits. This approach enables users to take targeted action to improve their health by focusing on the most impactful habits.
See more...
Time Frame Comparisons
The system supports analyzing dominant habits over any time frame, allowing for the comparison of health markers and habits across different periods. Users can assess short-term or long-term changes, making it easier to understand how health evolves over time and adapt accordingly. This flexible feature is ideal for tracking progress and assessing the effectiveness of lifestyle changes.
See more...
Predictions & Alarms
The system predicts the evolution of key health markers over the next six hours and triggers alarms when critical thresholds are reached. For example, it warns when glucose, blood pressure, or oxygen saturation hits dangerous levels. This function allows users to respond early and prevent serious health incidents like strokes or cardiac events, promoting proactive health management.
See more...
Population Analysis
The system segments data by various criteria, enabling targeted analysis for specific population subgroups. It also identifies individuals whose health markers deviate from their group’s average, which can indicate hidden factors requiring investigation. These insights help identify trends and potential risks within different segments of the population, supporting focused health interventions.
See more...
UI /UX Designer
Overview
We believe that design (and you) will be critical to the company's success. You will work with our founders and our early customers to help define and build our product functionality, while maintaining the quality bar that customers have come to expect from modern SaaS applications. You have a strong background in product design with a quantitavely anf qualitatively analytical mindset. You will also have the opportunity to craft our overall product and visual identity and should be comfortable to flex into working.
Lifestyle Habits
“Healdty” is an artificial intelligence-based platform, that registers data on nine key lifestyle habits to analyze in real time their correlations with glucose curves, blood pressure, heart rate, oxygen in blood, and body mass index, (others can be easily incorporated).
Diet
Food On Health
Hydration
Water Intake
Exercise
Improving Health
Alcoholism
Bad Habit For Health
Smoking
Smoking Consequences
Stress Management
Background Risk Factor
Family Health History
Contributing Factor Disease
Personal lifestyle history
Historic Lifestyle Habits
Sleep
Fundamental To Support Health
About
Artificial Intelligence Applied to Reducing Impact of Diabetes, Hypertension and Obesity, on Health Costs and Quality of Life
Resilience
Global Impact of Mega Pandemics: Urgency and Necessary Action
Mega pandemics affect over 2 billion people globally, making it essential to develop effective, global programs to mitigate their impact. Addressing this crisis is a top priority for improving public health and ensuring long-term global resilience.
Prevention
Early Warning for Cardiac and Brain Health
This system helps prevent serious brain or cardiac incidents by providing early warning alarms. Patients receive timely alerts, allowing them to take preventive actions and reduce the risk of life-threatening health emergencies.
Diagnostics
Root Cause Analysis Across Time Horizons
The Digital Twin technology identifies root causes affecting health parameters across long, medium, and short time frames, offering insights into past issues and enabling proactive strategies for future health improvements.
Predictive
Real-Time Health Monitoring and Predictive Analytics
I-Optia's Health Digital Twin processes lifestyle and health data in real time, predicting deviations and providing corrective measures. This proactive approach aims to reduce high-impact health events and improve overall patient outcomes.
3-hour coaching per month on the 3 top correlations lifestyle habits (on health markers): nutrition, exercise, hydration, stress management, sleep management, alcohol consumption, and smoking. (Based on data analytics).
35+ years of international experience in engineering, operation, and improvement of natural gas treatment plants. Skills in developing AI applications for Industrial operations.
Sonia Giraldo
Business Dev. Mgr. - Cofounder
28 years of experience in marketing, with strong orientation to digital marketing of technology solutions and digital hardware.
Dr. Jorge Peña
Medical Sciences Advisor
36+ years of medical practice. Special skills on antiretroviral treatment, and preventative medicine.
Santiago Bermudez
AI & Robotics Mgr. - Cofounder
9 years of experience in developing AI and robotics applications for Industrial plants. Strong skills on artificial vision and advanced machine learning.
Gabriel Bermudez
Biotech Advisor
Skills on digital models, simulation of bio systems, bionics, and front end developing of AI applications to bio systems...
Luis Rodriguez
IT Mgr. - Cofounder
28 years of experience in developing enterprise software systems. Strong skills on real time georeferencing systems.
Join the HealDTy Revolution
Connect with Us
Together we can make a difference. Every action counts in the fight to improve global health through artificial intelligence and data analytics.
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Diet & Nutrition
Mounting evidence of the negative impact of processed food on health degradation is undeniable. Early correctives on diet offer a tremendous potential for disease prevention. This is why diet is a core element of Healdlty.
14 Food Categories
Classified with standardized measurements for accurate tracking
Historical Analysis
Track habits over time with our 6-month trend monitoring
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Hydration Analysis
While dehydration is well recognized as a high risk condition that eventualy might lead to death, chronic sub-hydration (insufficient water intake) is starting to be recognized as a serious precursor to kidney health degradation[1]
Evidence indicates chronic sub-hydration is a significant precursor to Chronic Kidney Disease (CKD), which is a prevalent factor in several other disesases such as hypertension and diabetes [2]
Evidence indicates CKD might very well be a precursor to such diseases.In Healdty, water intake is measured in units related to a standard 250 ml. cup. Historic hydration habits are parametrized as well as recent (last 6 hrs) hydration habits.
Hydration Tracking
Measured in standardized 250ml units with historical and real-time monitoring
Trend Analysis
6-hour and long-term hydration pattern visualization
Scientific References
1
Perrier et al. (2021). European Journal of Nutrition
2
Act for Libraries: Chronic Dehydration Effects
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Exercise Monitoring
Exercise is proven to be extremely effective on improving health. However, adherence to exercise practice is in many cases low due to absence of results in the short term, as results are mostly associated to physical appearance.
There are immediate results at the level of health markers that can provide the positive reinforcement necessary to stimulate adherence to exercise. Healdty provides a visulization tool for such results.
In Healdty, exercise practice is measured in number of hrs per week , on both historic habit, and recent habit.
Activity Tracking
Weekly hour-based measurement with historical comparison
Health Impact
Real-time biomarker visualization for immediate feedback
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Alcohol Consumption Analysis
Similar to smoking, alcohol is recognized as a bad habit for health, but its short term effects and immediate consequences on health are not well perceived by the general population.
One critical effect is reduction of oxygen in blood due to breathing slowing down caused by alcohol depressant effect [4]; lack of oxygen has a negative effect on healht of all organs, in particular the brain and kidneys, which are very sensitive to reduced oxygen s
supply [4], other critical effects are increase in blood pressure and rapid changes in glucose levels, which affect negatively liver and pancreas health [5].
Measuring and visualizing alcohol drinking immediate consequences on health markers can provide and immediate negative reinforcement that could help reducing or eliminating this habit.
In Healdty, alcohol drinking is measured in equivalent number of beers per day for historic drinking habits, and number of beers over the last 6 hrs for recent habit
Consumption Metrics
Beer-equivalent tracking with historical comparison
Health Impact
Oxygen level and blood pressure monitoring
Scientific References
4
CDC: Alcohol Use and Health
5
Steiner et al.: Glycemic Impact
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Smoking Impact Monitor
Smoking is well recognized as a bad habit for health. However, its many immediate consequences -within the following minutes to hrs up to years- are not well perceived by the general population [3].
Measuring and visualizing smoking immediate consequences on health markers can provide and immediate negative reinforcement that could help reducing or eliminating this habit.
In Healdty, smoking is measured in number of cigarretes per day for historic smoking habits, and number of cigarretes over the last 6 hrs for recent habit.
Consumption Tracking
Cigarette count monitoring with temporal analysis
Vital Signs
Real-time cardiovascular impact visualization
Scientific References
3
Georgetown Hospital Study (2009)
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Stress Management Analytics
Stress is an important contributor to health degradation, specially when it is chronic, such as in work toxic environments, school, family, or other. Chronic stress creates a background risk factor that exacerbates when a puntual stress event happens, such as an accident, a robbery, the lost of a relative, or others.
The body response to stressful events directs energy to defence or escape systems while deprives energy from other systems such as skin, hair, reproductive, [6].
Healdty parametrizes stress history, recent stressful events, and also stress relief strategies such as meditation, yoga, exercise, respiration strategies. These parameters allow the system to quantify stress management.
Measuring and visualizing stress effects on health markers, in a short time frame, can provide and immediate reinforcement to introduce or reinforce stress management practices.
Stress Tracking
Event frequency and intensity monitoring
Relief Strategies
Effectiveness analysis of management techniques
Scientific References
6
APA: Stress Health Impact
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Genetic Health Profile
Family health history must be incorporated into the data bank as it is a strong contributing factor to probability of developing a disease.
Healdty parametrizes this factor depending upon the generation and number of relatives that have developed a particular disease.
Genetic Mapping
Three-generation health pattern analysis
Risk Assessment
Predictive modeling based on familial trends
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Lifestyle Timeline Analysis
As there is an irreversible and cummulative component of health deterioration, caused by historic bad lifestyle habits, Healdty incorporates this factor by quantifying the nine habits based upon a general description of historic lifestyle provided by the individual when he registers for the first time in the system.
Habit Archaeology
Decadal lifestyle pattern reconstruction
Impact Assessment
Cumulative effect visualization model
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Sleep Quality Analytics
ood Sleeping habits are fundamental to support health, It is during sleep that the body repairs damaged caused by some stress hormones, toxins, and residues from metabolic processes released during daily activity.
Healdty uses number of sleep hours to parametrize sleep habit.
Measuring and visualizing short term consequences of poor sleeping on health markers can provide and immediate reinforcement that could help improving conditions to enhance this habit.