Precision medicine in stroke: towards personalized outcome predictions using artificial intelligence

AK Bonkhoff, C Grefkes - Brain, 2022 - academic.oup.com
Stroke ranks among the leading causes for morbidity and mortality worldwide. New and
continuously improving treatment options such as thrombolysis and thrombectomy have …

Biomarkers of stroke recovery: consensus-based core recommendations from the stroke recovery and rehabilitation roundtable

LA Boyd, KS Hayward, NS Ward… - … Journal of Stroke, 2017 - journals.sagepub.com
The most difficult clinical questions in stroke rehabilitation are “What is this patient's potential
for recovery?” and “What is the best rehabilitation strategy for this person, given her/his …

Agreed definitions and a shared vision for new standards in stroke recovery research: the stroke recovery and rehabilitation roundtable taskforce

J Bernhardt, KS Hayward, G Kwakkel… - … Journal of Stroke, 2017 - journals.sagepub.com
The first Stroke Recovery and Rehabilitation Roundtable established a game changing set
of new standards for stroke recovery research. Common language and definitions were …

Modulation of brain plasticity in stroke: a novel model for neurorehabilitation

G Di Pino, G Pellegrino, G Assenza, F Capone… - Nature Reviews …, 2014 - nature.com
Noninvasive brain stimulation (NIBS) techniques can be used to monitor and modulate the
excitability of intracortical neuronal circuits. Long periods of cortical stimulation can produce …

Constraint-induced movement therapy after stroke

G Kwakkel, JM Veerbeek, EEH van Wegen… - The Lancet …, 2015 - thelancet.com
Constraint-induced movement therapy (CIMT) was developed to overcome upper limb
impairments after stroke and is the most investigated intervention for the rehabilitation of …

PREP2: A biomarker‐based algorithm for predicting upper limb function after stroke

CM Stinear, WD Byblow, SJ Ackerley… - Annals of clinical …, 2017 - Wiley Online Library
Objective Recovery of motor function is important for regaining independence after stroke,
but difficult to predict for individual patients. Our aim was to develop an efficient, accurate …

Machine learning in action: stroke diagnosis and outcome prediction

S Mainali, ME Darsie, KS Smetana - Frontiers in neurology, 2021 - frontiersin.org
The application of machine learning has rapidly evolved in medicine over the past decade.
In stroke, commercially available machine learning algorithms have already been …

Prediction of motor recovery after stroke: advances in biomarkers

CM Stinear - The Lancet Neurology, 2017 - thelancet.com
Stroke remains a leading cause of adult disability, and the recovery of motor function after
stroke is crucial for the patient to regain independence. However, making accurate …

Efficacy and safety of intravenous mesenchymal stem cells for ischemic stroke

JW Chung, WH Chang, OY Bang, GJ Moon, SJ Kim… - Neurology, 2021 - AAN Enterprises
Objective To test whether autologous modified mesenchymal stem cells (MSCs) improve
recovery in patients with chronic major stroke. Methods In this prospective, open-label …

Upper limb outcome measures used in stroke rehabilitation studies: a systematic literature review

L Santisteban, M Térémetz, JP Bleton, JC Baron… - PloS one, 2016 - journals.plos.org
Background Establishing which upper limb outcome measures are most commonly used in
stroke studies may help in improving consensus among scientists and clinicians. Objective …