As part of our new collaboration, the Haute École de Santé Vaud and Swissnex are pleased to launch a cycle of conferences around the themes of innovation in healthcare.
Our first conference taking place Thursday, March 18th, will cover the topic of artificial intelligence and its applications in healthcare. This conference will feature two speakers from the Jameel Clinic – the Epicenter of AI and Health at MIT, Ignacio Fuentes Ribas and Adam Yala.
Ignacio Fuentes RibasDirector, Jameel Clinic
Ignacio Fuentes is Managing Director at the Jameel Clinic for Machine Learning in Health at MIT. In this role, he aims to develop excellent research work in the areas of Artificial Intelligence, life sciences, and medicine, fostering a strong community committed to growth and impact to create longstanding value at MIT and in the world. With experience driving strategy and change management across industries, Ignacio has held leadership positions as an international executive in the Generali group, General Electric, and Santander. He’s passionate about new technologies and the opportunity to have an impact on people and organizations. The digital catalyst for more than 25 years in the financial services industry with a recognized risk management expertise fostering cross-border collaborations. He’s a Machine Learning and Blockchain enthusiast, actively involved in the HealthTech and FinTech communities. An entrepreneur of the MIT ecosystem, he has also mentored students to launch successful start-ups. His research interest is at the intersection of technology, innovation, entrepreneurship, and education. He believes in superior customer journeys using digital transformation and innovation.
Adam YalaPhD Candidate at MIT CSAIL
My research interests lie in the intersection of Machine Learning and Oncology. I believe that algorithmic innovation can create more precise and equitable healthcare. On the machine learning side, I’m particularly interested in developing neural models that can leverage alternative forms of supervision and produce interpretable rationales for their predictions. On the oncology side, I’m passionate about developing algorithms that can improve early detection and reduce over-treatment. So far, I’ve focused on developing algorithms for future cancer risk and personalized screening. My mammography based models for cancer risk have been clinically implemented at MGH and have been used to interpret hundreds of thousands of mammograms.
Exploring AI in Healthcare
This conference featured two speakers from the Jameel Clinic – the Epicenter of AI and Health at MIT, Ignacio Fuentes Ribas and Adam Yala.