Novel ways to predict outcome after stroke

Dr Anna Bonkhoff, Harvard Medical School 

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.  

*In person event*

The seminar will take place in person from 17:30-19:00 with no online attendance option. Please join us after the event for refreshments and networking.