Post by Alexander Stupnicki

Medical Student@UCL | Clinical AI in Ophthalmology | Mathematics & Computer Science BSc | Ex-Founder | RBF Scholarship Holder

By modelling subclinical keratoconus as a probabilistic continuum rather than a binary diagnosis, we can open the door to more sensitive, personalised and predictive approaches in corneal disease management, and reveal individual nuances that can be missed with conventional methods. Really grateful to Lynn Kandakji, Nikolas Pontikos and the inspiring team at UCL Institute of Ophthalmology for taking me under their wing and allowing me to contribute to such a paradigm-shifting and meaningful project, part of which formed my iBSc thesis. Excited to see how this approach could refine early detection and personalised monitoring for patients at risk!

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