Cambridge Centre for AI in Medicine

One of our Summer Schools is in full swing already but there is still time to secure your spot for our AI in Medicine Summer School tailored to the needs of clinicians and clinical students! We start next week! Learn more here: https://lnkd.in/ebUVypxe

To meet the incredibly high demand we have opened up more spaces and extended the booking period for our Summer Schools this year! This is the last chance to secure your spot! All information and booking pages can be found here: https://lnkd.in/eg2k_uum

We are looking forward to kicking off our Summer Schools soon! As we have gotten this question a lot, please be aware that the Summer Schools are exclusively online! You can find all the information, including a comprehensive FAQ, here https://lnkd.in/eg2k_uum

The Cambridge Centre for AI in Medicine is pleased to announce a strategic collaboration with leading pharmaceutical companies AstraZeneca, Boehringer Ingelheim, and GSK. The collaboration aims to harness the power of artificial intelligence and machine learning to drive innovation in medical research and improve patient outcomes worldwide. This collaboration marks a significant milestone in the development of CCAIM 2.0 – a journey towards a deeper integration of AI into medical research and practice. After successfully completing its initial stage, CCAIM furthers its engagement with a wider community, and renewing its close relationship with AstraZeneca and GSK, as well as bringing a new perspective on board with Boehringer Ingelheim, are important steps to reach our goals. CCAIM is committed to working together with its collaborators to achieve breakthroughs that will transform the future of healthcare. The Centre is grateful to our collaborators James Weatherall, Justine Rochon, and Kim Branson for their vision and for making this collaboration possible. Read more about our new partnership here: https://lnkd.in/e-WyYTUT

We are very excited to announce the next keynote speaker for our #SummerSchool for #AI in #Medicine! Uri Shalit joins us from the Technion - Israel Institute of Technology to talk about Decision Support for Diagnosis - presenting new ways ML can practically help clinicians! Join us: https://lnkd.in/ebUVypxe

A reminder that today is the LAST CHANCE to apply for financial help to attend either of our Summer Schools! If you are a passionate student struggling to pay the fee - send us your CV and a letter of motivation! More info in the FAQ of the summer schools: https://lnkd.in/eg2k_uum

We are excited to present our fantastic speaker lineup for the #SummerSchool for #AI in #Medicine! Join us and our world-leading experts from 9 to 13 September to start your AI journey! This school is tailored to physicians, medical students, and other clinicians without or little prior knowledge of AI and machine learning. All you need is a passion to engage with AI for Medicine in a fast-paced learning environment where you will build expertise from the ground up. Over five days, we will provide a comprehensive program guiding you through the foundations of machine learning in clinical settings. Our experts will teach the most important topics at the intersection of machine learning and healthcare. Booking closes soon! Secure your spot: https://lnkd.in/ebUVypxe Lena Maier-Hein, Manolis Kellis, Donald Ingber, Uri Shalit, Eoin McKinney, Kun-Hsing Yu, William Brinson Weeks, Patrick Maxwell, Stefan Feuerriegel, Robert David Stevens, Pierre Marquet, Carsten Utoft Niemann, Jessica Rose Morley, Jean-Baptiste Woillard, Fergus Imrie, Andres Floto, Richard Peck, Ari Ercole, Mihaela van der Schaar, Nabeel Seedat, Tom Callender, Tim Schubert, Tim Oosterlinck

We are very excited to announce the next keynote speaker for our #SummerSchool for #AI & #MLfor #Healthcare! Frank Hutter joins us from the Universität Freiburg and the ELLIS Institute Tübingen. He is one of the most cited AutoML researchers in the world, focussing on topics such as efficient hyperparameter optimisation, neural architectures, meta-learning, and explainable AutoML - do not miss out on his lecture! Secure your spot before they are gone: https://lnkd.in/gd5nWawe

We are very proud to be represented at #ICML2024 with 13 papers by researchers in our centre! We are excited to present the fantastic work from the labs of Mihaela van der Schaar, Pietro Lio', and Jose Miguel Hernandez Lobato, showcasing our diverse projects across AI at the leading international academic conference in machine learning!

We have just released our most up-to-date schedule for the Cambridge AI in Medicine #SummerSchool! Head over to our website (https://lnkd.in/eJVUxpcC) and have a detailed look at what is waiting for you! Secure your space and start your #AIjourney with us!