Developing cutting-edge AI diagnostic solutions to improve patient outcomes and make healthcare more accessible worldwide.
I am an AI Engineer with a passion for healthcare innovation, specializing in developing machine learning models for medical diagnosis. My expertise lies in creating accurate, reliable, and accessible diagnostic tools for conditions including diabetes, pneumonia, tuberculosis, and malaria.
As the founder of DAS medhub, I lead a healthtech startup dedicated to bridging the gap between cutting-edge AI technology and practical healthcare needs. Our mission is to democratize access to quality healthcare through innovative technological solutions.
In my role as an Extern Ambassador, I collaborate with healthcare institutions, research organizations, and technology partners to drive meaningful innovation in the healthcare sector while ensuring ethical AI implementation.
An advanced AI model that analyzes patient medical data to predict diabetes risk with exceptional accuracy, helping in early intervention and prevention strategies.
A convolutional neural network that analyzes chest X-rays to identify pneumonia with high precision, reducing diagnostic time and improving accuracy.
An image recognition system designed for early detection of tuberculosis from medical scans, enabling timely treatment and reducing transmission rates.
A deep learning model that analyzes blood smear images to accurately detect malaria parasites, providing rapid diagnosis in resource-limited settings.
An AI-powered virtual assistant that helps users assess symptoms, receive preliminary health guidance, and make informed healthcare decisions through natural conversation.
DAS medhub is a healthtech startup at the intersection of artificial intelligence and healthcare, developing accessible, accurate, and affordable diagnostic solutions for global healthcare challenges.
Our AI-powered diagnostic tools enable healthcare providers to identify diseases at earlier, more treatable stages, significantly improving patient outcomes and reducing healthcare costs.
We're committed to breaking down barriers to quality healthcare by making our solutions available in underserved regions, with a focus on low-resource settings where diagnostic capabilities are most needed.
Our models employ continuous learning mechanisms that improve over time through responsible data collection and collaborative research partnerships with medical institutions worldwide.
As an Extern Ambassador, I serve as a bridge between the healthcare and technology sectors, facilitating collaboration and knowledge exchange to accelerate innovation in medical AI applications.
I'm always interested in discussing new collaborations, research opportunities, or speaking engagements. Feel free to reach out with any inquiries or just to say hello!
divinesebukpor@gmail.com
+91 7626922236
Chandigarh, India