UCL Centre for Neurorehabilitation Seminar: Dr Anna Bonkhoff
Novel ways to predict outcome after stroke
Please note that this event will take place in person, followed by drinks reception and networking. There will be no option to attend the seminar remotely, however we do plan to record the seminar and we will put the seminar recording on the CNR website once it is available. Please send any enquiries to: cnr@ucl.ac.uk.
Accurate predictions of motor impairment after stroke are of cardinal importance for the patient, clinician and healthcare system. The proportional recovery rule was introduced promising high-fidelity predictions, but was found to be subject to various confounds. In their work, Dr. Bonkhoff and colleagues developed a bayesian approach to modeling post-stroke motor recovery that mitigated discovered confounds and allowed for investigation of recovery patterns. Initial studies were focused on moderately affected acute to subacute stroke patients, while subsequent work extended outcome modeling to severely affected stroke patients and those in the chronic phase after stroke. The entirety of this work will be discussed during the upcoming seminar.
Dr Anna Bonkhoff
Massachusetts General Hospital and Harvard Medical School
Further information
Ticketing
Pre-booking essential
Cost
Free
Open to
All
Availability
Yes