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BloodQuest.AI was Incubated at Vitalia 2024
Vision
To revolutionize blood diagnostics by combining Holistic Morphological Blood Observation with state-of-the-art AI technology, delivering a service that demystifies medical science and engages patients directly in their health journey.
Mission
Our mission is to empower patients and healthcare providers with advanced, AI-driven blood analysis tools that enhance diagnostic precision, improve healthcare access, promote patient education, and facilitate data-driven medical insights.
The Proposal
We aim to create an innovative diagnostic service that leverages digital microscopy and AI to provide patients with a clear, interactive view of their blood cells. Our service will not only facilitate rapid and accurate blood cell analyses but also serve as an educational tool, enhancing patient understanding of how lifestyle choices impact their blood health.
How It Works
Using a digital display system connected to a microscope, we capture high-resolution images and videos of a patient's blood. These visuals are then projected onto a large screen for detailed observation and analyzed using a specially designed AI model. The AI aids in identifying and quantifying blood cell abnormalities, offering a comprehensive report.
Patient Empowerment
The unique aspect of our service is the patient-centric approach. By providing patients with images and videos of their own blood cells, we offer a transparent and informative experience. This not only educates patients about their health in a visually engaging manner but also encourages proactive health management.
A. Patient Engagement: Develop an interface for patients to access their blood cell images and receive personalized health insights.
B. Educational Outreach: Implement an outreach program to educate healthcare providers and patients on the importance of blood health.
1. Equipment Setup: Install digital microscopes with high-definition cameras in participating clinics and labs.
2. Software Development: Create a secure cloud-based platform for image analysis and patient education.
3. AI Training: Collect a vast array of blood cell images, annotated with expert insight, to train our AI model.
Monetization
Our revenue model will include direct-to-consumer analysis, subscription services for healthcare providers, and partnerships with medical educational institutions.
- Service Integration: Offer our analysis as a service to healthcare providers, integrating with existing EHR systems.
- Additionally, anonymized data can be licensed to research entities interested in hematological health trends.
Business Model
bloodquest.ai will generate revenue through:
This multi-stream revenue approach aims to ensure sustainability and growth.
Conclusion
Our service stands at the intersection of innovative diagnostics and patient education. By offering an in-depth look into one's own blood, we open a dialogue between healthcare providers and patients, fostering a more engaging and informed healthcare environment.
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Problem
Blood analysis is a pivotal diagnostic tool in healthcare, offering valuable insights into a patient's health. However, there are several key challenges with existing methodologies:
Resolving these issues is crucial for improving healthcare outcomes, efficiency, and patient empowerment.
Solution
bloodquest.ai offers a cutting-edge solution leveraging AI and digital microscopy to revolutionize blood testing:
Our innovative approach brings unprecedented value to diagnostics and patient care.
Anticipated Outcomes:
Integrating AI-enhanced blood observation with digital microscopy and patient engagement tools.
Phase 1 is already halfway completed at Vitalia in Prospera. The lab is located on Prospera Island of Roatan, and we already have two significant.
Researchers are interested in collaborating to publish the study, and a Desci Journal is interested in publishing the study.
Phase 1: Preparatory and Planning Stage (1-2 weeks)
1. Team Assembly: Form a dedicated research team with expertise in hematology, microscopy, and data analysis. Assign roles and responsibilities, including lead researcher, lab technicians, and data analysts.
2. Participant Recruitment: Develop criteria for participant selection focusing on diverse demographics. Start the recruitment process with clear communication about the study's purpose and requirements.
3. Resource Acquisition: Procure necessary equipment, including the AmScope T120B-M Digital Microscope and other lab materials. Set up the research environment, ensuring it meets the required standards for the study.
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