Precision Medicine, Artificial Intelligence and the Law
In black-box precision medicine, machine-learning algorithms harness the power of big data and artificial intelligence to examine newly available troves of health data, including genomic sequences, patient clinical care records, and the results of diagnostic tests.
This one-day symposium is the first annual symposium of CeBIL's 5 year project, bringing together researchers from across the world to investigate these and other issues on life science frontiers. It aims to tackle some of the challenging issues raised by black-box precision medicine, particularly for legal and regulatory frameworks.
Confirmed speakers so far include Dr Alberto Gutierrez (FDA 2009-2017), Prof Glenn Cohen (Harvard), Emeritus Prof Chris Lowe (Cambridge Academy of Therapeutic Sciences), Prof Timo Minssen (Copenhagen), Prof Mateo Aboy (Cambridge), Dr John Liddicoat (Cambridge), Dr Stuart Hogarth (Cambridge), Dr Nicholson Price (Michigan), and Prof Jacob Sherkow (New York) amongst others.The event will feature four panel discussions exploring the major topics in more detail.
Lunch and refreshments will be available and the event concludes with a networking and drinks reception. This symposium is free to attend, and is made possible by funding from the Novo Nordisk Foundation. Registration is required. For enquiries please email: firstname.lastname@example.org.