Prolaio
Miguel Cacho Soblechero, PhD, is a Senior Data Scientist at Prolaio, specializing in the development of GenAI-based predictive tools to enhance patient care. With a diverse background in biomedical engineering and AI, Miguel has held various roles including Honorary Research Associate and PhD Candidate at Imperial College London, where innovative medical devices were designed for disease diagnostics. Previous positions include Data Scientist at EQRx, where clinical trial execution was accelerated through predictive tools, and Director of Communications at Spanish Researchers in the United Kingdom, significantly modernizing the organization's operations. Miguel's educational credentials include a PhD in Biomedical Electronics and AI from Imperial College London, in addition to qualifications in Machine Learning Engineering and Integrated Circuit Design.
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Prolaio
At Prolaio, we want to help patients live full and satisfying lives, to prevent and control their illnesses, to give them and their care teams information that can improve their well-being and shape effective care choices. Our founders are experts in cardiovascular medicine and science. They saw that making new treatments isn’t enough. We need to rethink how care is delivered, so that every patient gets the treatment they need at the right time. Hearts work on their own times. Not on appointment times. Having a doctor’s appointment once every 3-6 months means missing all the signals that could be happening in between. A connected platform can solve this problem. We envision a future where patients are seen when they need to be seen, and not when they don’t. They get the care they need, like medication changes, without going to the hospital. Doctors and hospitals get more efficient, the system saves money, and patients live better. This is precision cardiology, and we know it’s within reach.