ContactBy using data and our AI-enabled system, physicians are able to optimize regular consultations for the early detection of cancer.
Early detection is one of the most important factors for healthcare providers in combating most diseases, particularly cancer. Our SAAS-based platform give GPs the ability to concurrently check combinations of signs, symptoms and risk factors, in an intuive format. It can be used during consultation when the opportunity to affect decision-making is at its greatest.
Doyin Bademosi is the CEO of Durotimi AI, a collaborative venture between Radmol AI, EIT Digital and CeADAR-UCD. His primary role include project delivery and commercialisation. Doyin has extensive management experience, ranging from multinational institutions to startups. A three time founder with one exit. A systems entrepreneur with particular interest in understanding and solving complex business issues through problem definition and product development, while scaling solutions across markets. Doyin holds a degree in Physics, a Post-graduate diploma in innovation and Entrepreneurship, an MBA (both from Trinity College Dublin). Doyin leads the multifunctional research team working with Durotimi AI to develop a novel machine learning solution for clinical diagnosis.
Dr Oisín Boydell is Director of Applied Research at CeADAR, Ireland’s Centre for Applied AI at University College Dublin, where he leads the applied research group. His primary research interests include machine learning, deep learning, blockchain, recommender systems, earth observation and real-time analytics. After working as a software developer in the UK, Oisín returned to UCD to undertake a PhD in Computer Science, developing novel approaches for personalized information retrieval. Prior to joining CeADAR he worked for a number of years in the research and innovation team at Changing Worlds Ltd (subsequently acquired by Amdocs) where he developed big data analytics and machine learning solutions for the telecommunications industry. Oisín is technical lead for the CeADAR research team working with Durotimi AI to develop a novel machine learning solution for clinical diagnosis.
Veeresh Gurusiddappa is a graduate data scientist at CeADAR with a Masters in Computer Science from University College Dublin and 4 years of software development experience. His research interests include ML theory, NLP, computer vision, and recommender systems.
Saad is a senior data scientist in applied Research at CeADAR, Ireland’s Centre for Applied AI at theUniversity College Dublin. He helps businesses navigate emerging technologies. His primary research interests include machine learning, deep learning and blockchain. Prior to joining CeADAR he worked for a number of startups where he developed big data analytics and machine learning solutions. Saad is applied lead for the CeADAR research team working with Durotimi AI to develop novel machine learning solution for clinical diagnosis.
Arnie holds both a bachelor's and a master'sdegree in computer science and is passionate about product development and technology-enhanced systems. Being able to deploy technology to improve patient well-being is a new frontier of excitement. Arnie is a full stack developer working with Durotimi AI to develop a novel machine learning solution for clinical diagnosis.
