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Mr. Ehsan Dayyani is a leading figure in cancer research, specializing in early detection and prediction. As the Head of Science at a prominent research institution, he oversees innovative AI-driven projects that aim to revolutionize cancer care by shifting focus from treatment to prevention. Renowned for his groundbreaking work in oncology, Mr. Dayyani’s leadership is driving advancements that promise to improve patient outcomes and reduce the global cancer burden.

Alireza Ghahraman, as the Chief Business Development Officer (CBDO) of the project, plays a pivotal role in shaping the strategic direction and growth initiatives. With a strong background in business strategy and innovation, he leads efforts to forge key partnerships, expand market reach, and drive the commercialization of the project’s groundbreaking AI-driven cancer prediction technology. His vision and leadership are instrumental in positioning the project at the forefront of healthcare innovation.

Marzieh Pak leads the AI and Machine Learning (ML) development for the cancer prediction project. With extensive expertise in data science and algorithm design, she spearheads the creation of advanced AI models that enhance the accuracy and efficiency of early cancer detection. Her innovative approach to integrating AI and ML technologies is crucial in developing predictive models that can revolutionize cancer diagnostics, making early detection more accessible and reliable.

Masoud Sadeghi is the CEO of the cancer prediction project in the Netherlands. With a strong background in healthcare innovation and strategic leadership, he guides the project’s vision and growth. Under his leadership, the initiative focuses on leveraging advanced AI technologies to improve early cancer detection. Masoud’s commitment to integrating cutting-edge technology with healthcare solutions positions the project at the forefront of transforming cancer diagnostics in the Netherlands.

Zohreh Zahiri is the Chief Technology Officer (CTO) of the cancer prediction project in the Netherlands. With a deep expertise in AI, machine learning, and healthcare technologies, she leads the development and implementation of the technical infrastructure. Zohreh is responsible for driving innovation and ensuring the seamless integration of advanced algorithms into cancer prediction systems. Her leadership is key to advancing the project’s mission of revolutionizing early cancer detection through technology.

Mohammad Hossein Zahedi is the Product Owner of the cancer prediction project. With a strong background in product management and a deep understanding of healthcare technology, he oversees the development and execution of the product roadmap. Mohammad ensures that the project’s goals align with user needs and market demands, driving the creation of a cutting-edge cancer prediction tool. His focus on delivering a user-centric product is pivotal to the project’s success in transforming early cancer detection.

Zahra Habibi is the Research and Development (R&D) Manager for the cancer prediction project. With a strong expertise in medical research and a passion for innovation, she leads the team in exploring and developing advanced technologies for early cancer detection. Zahra’s role involves overseeing the research initiatives, ensuring that the project stays at the forefront of scientific advancements. Her leadership and dedication are key to driving the project’s success in revolutionizing cancer prediction.