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Ischemic and haemorrhagic stroke risk estimation using a machine-learning-based retinal image analysis
ConclusionA fast and fully automatic method can be used for stroke subtype risk assessment and classification based on fundus photographs alone.
Source: Frontiers in Neurology - August 22, 2022 Category: Neurology Source Type: research

Using convolutional neural network to analyze brain MRI images for predicting functional outcomes of stroke
AbstractNowadays, the physicians usually predict functional outcomes of stroke based on clinical experiences and big data, so we wish to develop a model to accurately identify imaging features for predicting functional outcomes of stroke patients. Using magnetic resonance imaging of ischemic and hemorrhagic stroke patients, we developed and trained a VGG-16 convolutional neural network (CNN) to predict functional outcomes after 28-day hospitalization. A total of 44 individuals (24 men and 20 women) were recruited from Taoyuan General Hospital and China Medical University Hsinchu Hospital to enroll in the study. Based on â€...
Source: Medical and Biological Engineering and Computing - August 2, 2022 Category: Biomedical Engineering Source Type: research

Machine learning prediction of symptomatic intracerebral hemorrhage after stroke thrombolysis: a cross-cultural validation in Caucasian and Han Chinese cohort
CONCLUSION: The established SVM model is feasible for predicting the risk of sICH after thrombolysis quickly and efficiently in both Caucasian and Han Chinese cohort.PMID:36225969 | PMC:PMC9549180 | DOI:10.1177/17562864221129380
Source: Adv Data - October 13, 2022 Category: Epidemiology Authors: Junfeng Liu Xinyue Chen Xiaonan Guo Renjie Xu Yanan Wang Ming Liu Source Type: research

Janssen to Present the Strength and Promise of its Hematologic Malignancies Portfolio and Pipeline at ASH 2021
RARITAN, N.J., November 4, 2021 – The Janssen Pharmaceutical Companies of Johnson & Johnson announced today that more than 45 company-sponsored abstracts, including 11 oral presentations, plus more than 35 investigator-initiated studies will be featured at the American Society of Hematology (ASH) Annual Meeting and Exposition. ASH is taking place at the Georgia World Congress Center in Atlanta and virtually from December 11-14, 2021.“We are committed to advancing the science and treatment of hematologic malignancies and look forward to presenting the latest research from our robust portfolio and pipeline during ASH...
Source: Johnson and Johnson - November 5, 2021 Category: Pharmaceuticals Tags: Innovation Source Type: news

Iron Metabolism and Brain Development in Premature Infants
Yafeng Wang1,2,3, Yanan Wu2, Tao Li1,2,3, Xiaoyang Wang2,4 and Changlian Zhu2,3* 1Department of Neonatology (NICU), Children’s Hospital Affiliated Zhengzhou University, Zhengzhou, China 2Henan Key Laboratory of Child Brain Injury, Institute of Neuroscience and Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China 3Department of Clinical Neuroscience, Center for Brain Repair and Rehabilitation, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden 4Department of Physiology, Sahlgrenska Academy, Institute of Neuroscience and Physiology, University of Got...
Source: Frontiers in Physiology - April 24, 2019 Category: Physiology Source Type: research

Preventable Cases of Oral Anticoagulant-Induced Bleeding: Data From the Spontaneous Reporting System
Conclusion: Our findings describe the most reported risk factors for preventability of oral anticoagulant-induced bleedings. These factors may be useful for targeting interventions to improve pharmacovigilance activities in our regional territory and to reduce the burden of medication errors and inappropriate prescription. Introduction Oral anticoagulant therapy is widely used for the prevention of stroke and systemic embolism in patients with atrial fibrillation, or for the prevention and treatment of deep vein thrombosis and pulmonary embolism (Raj et al., 1994; Monaco et al., 2017). Oral anticoagulants can be di...
Source: Frontiers in Pharmacology - April 29, 2019 Category: Drugs & Pharmacology Source Type: research

Radiomics-based prediction of hemorrhage expansion among patients with thrombolysis/thrombectomy related-hemorrhagic transformation using machine learning
CONCLUSIONS: The currently established NECT-based radiomic score is valuable in predicting hemorrhage expansion after HT among patients treated with reperfusion treatment after ischemic stroke, which may aid clinicians in determining patients with HT who are most likely to benefit from anti-expansion treatment.PMID:35173809 | PMC:PMC8842178 | DOI:10.1177/17562864211060029
Source: Adv Data - February 17, 2022 Category: Epidemiology Authors: Junfeng Liu Wendan Tao Zhetao Wang Xinyue Chen Bo Wu Ming Liu Source Type: research

Network pharmacology-based analysis of Chinese herbal Naodesheng formula for application to Alzheimer's disease
Publication date: January 2018 Source:Chinese Journal of Natural Medicines, Volume 16, Issue 1 Author(s): Xiao-Cong PANG, De KANG, Jian-Song FANG, Ying ZHAO, Lv-Jie XU, Wen-Wen LIAN, Ai-Lin LIU, Guan-Hua DU Naodesheng (NDS) formula, which consists of Rhizoma Chuanxiong, Lobed Kudzuvine, Carthamus tinctorius, Radix Notoginseng, and Crataegus pinnatifida, is widely applied for the treatment of cardio/cerebrovascular ischemic diseases, ischemic stroke, and sequelae of cerebral hemorrhage, etc. At present, the studies on NDS formula for Alzheimer's disease (AD) only focus on single component of this prescription, and there is...
Source: Chinese Journal of Natural Medicines - February 24, 2018 Category: Complementary Medicine Source Type: research

Machine learning boosts chest CT's performance
Machine learning-based CT texture analysis software improves reader accuracy...Read more on AuntMinnie.comRelated Reading: AI can quantify hematoma in hemorrhagic stroke patients Large study confirms value of CT lung cancer screening CT radiation doses for COVID-19 patients vary widely CT lung screening scans also work for bone density CT lung screening program falls short in China
Source: AuntMinnie.com Headlines - November 18, 2020 Category: Radiology Source Type: news

CT radiomics helps predict spontaneous intracerebral hemorrhage
CT radiomics and a machine-learning model can predict hematoma expansion i...Read more on AuntMinnie.comRelated Reading: Portable MRI helps clarify stroke symptoms more quickly MIDRC offers support for COVID-19 AI AI detection of intracranial hemorrhage saves lives Study confirms viability of low-field MRI for ICH AI software bests Chinese physicians in contest
Source: AuntMinnie.com Headlines - October 18, 2021 Category: Radiology Source Type: news

Alpha-Asarone Ameliorates Neurological Dysfunction of Subarachnoid Hemorrhagic Rats in Both Acute and Recovery Phases via Regulating the CaMKII-Dependent Pathways
AbstractEarly brain injury (EBI) is the leading cause of poor prognosis for patients suffering from subarachnoid hemorrhage (SAH), particularly learning and memory deficits in the repair phase. A recent report has involved calcium/calmodulin-dependent protein kinase II (CaMKII) in the pathophysiological process underlying SAH-induced EBI. Alpha-asarone (ASA), a major compound isolated from the Chinese medicinal herbAcorus tatarinowii Schott, was proven to reduce secondary brain injury by decreasing CaMKII over-phosphorylation in rats ’ model of intracerebral hemorrhage in our previous report. However, the effect of ASA o...
Source: Translational Stroke Research - February 13, 2023 Category: Neurology Source Type: research