2015 Events

Monday 23rd November 2015 at 6pm at UCD Conway Lecture Theatre

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Precision Health and Medicine at IBM Research

Dr Michal Rosen-Zvi (Director, Health Informatics at IBM Research) will present on Precision Health and Medicine at IBM Research at 6pm on Monday 23rd November 2015 in the UCD Conway Lecture Theatre.

About Dr Michal Rosen-Zvi

Dr. Michal Rosen-Zvi is the Director for Healthcare Informatics at IBM Research. She is leading a worldwide team of researchers expert in healthcare data analytics and a local team of machine learning, medical imaging analysis and bioinformatics experts. Michal holds a PhD in physics and completed her postdoctoral studies at UC Berkeley, UC Irvine, and the Hebrew University in the area of Machine Learning. She joined IBM towards the end of 2005 and has since led various projects in the area of machine learning and healthcare. Aside from teaching in various academic forums, Michal has published more than 35 peer-reviewed papers, and serves as a Program Committee member and reviewer at leading machine learning, health informatics, and bioinformatics conferences and journals. Michal has lead and co-lead a number of multidisciplinary projects where physicians, data scientists and experts from Pharmaceutical companies joined forces to analyze post launch patients data. She co-chaired ten international workshops including the recent Gothenburg workshop on the Pan-European road towards future healthcare.

Precision Health and Medicine at IBM Research

Healthcare big data is composed of seven major parts: structured clinical data, structured finance/utilization data, textual notes, images and videos, genomic data, socio-economic data, and quantified-self data. The pharmaceutical industry recently identified the promise of real world evidence (RWE) studies, in which this data is collected post launch to shorten trial and error, direct new drug development, support marketing teams, and more. Compared to clinical trials phase two and three, in which patients with a single disease are recruited, much richer conclusions can be drawn by learning from the big data collected from patients’ reactions to drugs in a non-sterile setting; here the patients may suffer from multiple conditions or even consume more than one drug. This can provide insight into who can benefit most from specific drugs and what therapy regimen is optimal for a specific patient with co-morbidity. Indeed, the vast amounts of digital information about human disease and wellness that are now becoming available in the form of providers' medical records, insurers’ claim records, social systems, human resources employee records and self-monitoring data that individuals/patients collect from wearable devices, are changing the landscape of medicine. IBM has partnered with leading players in this domain, including Medtronic and Apple, focusing on its health kit and research kit. IBM has completed in 2015 a series of acquisitions such as Explorys, Phytel and Merge, and has changed the landscape of the healthcare ecosystem. In this talk I will review Real World Evidence technologies developed in IBM Research and how they fit the changing world of healthcare.

Event Organiser : UCD Research

Please note that this event is not organised by the UCD School of Medicine. Details are posted here to help publicise the event.  The School does not accept responsibility for any inaccuracies or changes to the event which may occur. Please liaise directly with the event organisers.