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Bardia Hajikarimloo on Muck Rack

Bardia Hajikarimloo

As seen in: MDPI, Journal of Medical Case Reports, Dialnet - Universidad de La Rioja
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Articles

Machine learning models for predicting response to epidermal growth factor receptor tyrosine kinase inhibitors in non-small cell lung cancer brain metastases: a systematic review and meta-analysis

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By Bardia Hajikarimloo, Ibrahim Mohammadzadeh, Rana Hashemi
| Dialnet - Universidad de La Rioja
Background: Predicting clinical and radiological outcomes of epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) in patients with non-small cell lung cancer (NSCLC) and brain metastases (BMs) is crucial for effective patient management. Machine learning (ML)-based models have increasingly been utilized to predict EGFR-TKI response in patients with lung cancer brain metastasis (LCBM).
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Racial and socioeconomic disparities in the utilization of mechanical thrombectomy: a meta-analysis and systematic review of over 11 million patients

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By Ali Mortezaei, Bardia Hajikarimloo, Mohammad Mirahmadi Eraghi, Sogand Sheikholeslami
| Journal of Neurosurgery Verified
Keywords: mechanical thrombectomy; acute ischemic stroke; racial disparity; socioeconomic disparity Stroke is the third most prevalent cause of combined death and disability worldwide and the fifth highest cause of mortality in the US.1 Stroke is significantly important in medicine, causing frequent long-term disabilities and rising medical expenses.1,2 Previous studies have demonstrated that mechanical thrombectomy (MT) can be considered the first-line therapeutic option for large-vessel...
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Investigating the Safety and Efficacy of Therapeutic Hypothermia in Pediatric Severe Traumatic Brain Injury: A Systematic Review and Meta-Analysis

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By Mohammad Amin Habibi, Alireza Majdi, Bardia Hajikarimloo, Farhang Rashidi
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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