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Open AccessJournal ArticleDOI

Principles of precision medicine in stroke

TLDR
The principles on a roadmap for rational application of precision medicine to stroke and cerebrovascular health are delineated and the need to identify, value, organise and analyse the multitude of variables obtained from each individual to generate a precise approach to optimise cerebroVascular health is considered.
Abstract
The era of precision medicine has arrived and conveys tremendous potential, particularly for stroke neurology. The diagnosis of stroke, its underlying aetiology, theranostic strategies, recurrence risk and path to recovery are populated by a series of highly individualised questions. Moreover, the phenotypic complexity of a clinical diagnosis of stroke makes a simple genetic risk assessment only partially informative on an individual basis. The guiding principles of precision medicine in stroke underscore the need to identify, value, organise and analyse the multitude of variables obtained from each individual to generate a precise approach to optimise cerebrovascular health. Existing data may be leveraged with novel technologies, informatics and practical clinical paradigms to apply these principles in stroke and realise the promise of precision medicine. Importantly, precision medicine in stroke will only be realised once efforts to collect, value and synthesise the wealth of data collected in clinical trials and routine care starts. Stroke theranostics, the ultimate vision of synchronising tailored therapeutic strategies based on specific diagnostic data, demand cerebrovascular expertise on big data approaches to clinically relevant paradigms. This review considers such challenges and delineates the principles on a roadmap for rational application of precision medicine to stroke and cerebrovascular health.

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Citations
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A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease.

TL;DR: The U-net framework was optimized and evaluated with three metrics: Dice coefficient, 95% Hausdorff distance (95HD) and average Hausdorf distance (AVD) and revealed excellent performance in large vessels and sufficient performance in small vessels.
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Deep into the Brain: Artificial Intelligence in Stroke Imaging.

TL;DR: A glimpse at the use of AI in stroke imaging is offered, specifically focusing on its technical principles, clinical application, and future perspectives.
Journal ArticleDOI

The Use of Deep Learning to Predict Stroke Patient Mortality.

TL;DR: A deep neural network is used to detect stroke using medical service use and health behavior data and can be used by both patients and doctors to prescreen for possible stroke.
Journal ArticleDOI

Biomarker Application for Precision Medicine in Stroke

TL;DR: It is proposed that future biomarker studies can be designed to support precision medicine therapeutic interventions after stroke, and an example of biomarker design for aneurysmal subarachnoid hemorrhage is presented.
References
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Journal ArticleDOI

A Randomized Trial of Intraarterial Treatment for Acute Ischemic Stroke

TL;DR: In patients with acute ischemic stroke caused by a proximal intracranial occlusion of the anterior circulation, intraarterial treatment administered within 6 hours after stroke onset was effective and safe.
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Endovascular Therapy for Ischemic Stroke with Perfusion-Imaging Selection

TL;DR: In patients with ischemic stroke with a proximal cerebral arterial occlusion and salvageable tissue on CT perfusion imaging, early thrombectomy with the Solitaire FR stent retriever, as compared with alteplase alone, improved reperfusion, early neurologic recovery, and functional outcome.
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A New Initiative on Precision Medicine

TL;DR: A research initiative that aims to accelerate progress toward a new era of precision medicine, with a near-term focus on cancers and a longer-term aim to generate knowledge applicable to the whole range of health and disease.
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Thrombectomy within 8 hours after symptom onset in ischemic stroke

TL;DR: Among patients with anterior circulation stroke who could be treated within 8 hours after symptom onset, stent retriever thrombectomy reduced the severity of post-stroke disability and increased the rate of functional independence.
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