Quantum Machine Learning for the Prediction and Diagnosis of Chronic Diseases
Webinar contents
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Webinar Summary
Held
Educational WebinarLevel: Beginner
Quantum Machine Learning for the Prediction and Diagnosis of Chronic Diseases
Quantum machine learning (QML) for the prediction and diagnosis of chronic diseases can establish a connection between quantum computing and real-world societal needs. By leveraging principles of quantum physics, such as entanglement and superposition, this technology can facilitate the identification of biological patterns in clinical data with high accuracy and speed.
This technology can be implemented in intelligent screening platforms, such as clinical decision-support systems and personalized health applications. Early and rapid disease detection can enable timely preventive interventions while potentially reducing the costs associated with diagnosis and treatment.
Therefore, the integration of quantum science and data science has the potential to directly contribute to public health and significantly influence the future of the healthcare and medical industry.
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About Teacher
Shaghayegh Shahmohammadi
Ph.D. Student in Physics – Optics and Lasers
Vali-e-Asr University of Rafsanjan
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Event information
- Webinar audience
- Students and graduates in Physics, Electrical Engineering, Photonics, Optics, and other related fields.
- Event date
- Event time (Tehran time)
- 19:30
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