Abiya Farhan Baqai on Muck Rack

Abiya Farhan Baqai

As seen in: medRxiv, Texas Medical Center
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Articles

Peripheral blood mononuclear cell transcriptomic trajectories reveal dynamic regulation of inflammatory actors in delirium

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By Sara C LaHue, Abiya Farhan Baqai, Naoki Takegami, Rubinee Simmasalam
| medRxiv
CSC has served as a scientific advisor for Vasomune and Quark Pharmaceuticals and has received funding from Roche/Genentech. CMH has provided paid consulting services to Spring Discovery for planning clinical trials related to the treatment of COVID-19 disease and the acute respiratory distress syndrome unrelated to the topics addressed in this manuscript.
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"Small RNA Signatures of Acute Ischemic Stroke in L1CAM Positive Extrac" by Bharti Manwani, Nivetha Brathaban et al.

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By Bharti Manwani, Nivetha Brathaban, Abiya Farhan Baqai, Yashee Munshi
| Texas Medical Center
Abstract L1CAM-positive extracellular vesicles (L1EV) are an emerging biomarker that may better reflect ongoing neuronal damage than other blood-based biomarkers. The physiological roles and regulation of L1EVs and their small RNA cargoes following stroke is unknown. We sought to characterize L1EV small RNAs following stroke and assess L1EV RNA signatures for diagnosing stroke using weighted gene co-expression network analysis and random forest (RF) machine learning algorithms.
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"Small RMA Signatures of Acute Ischemic Stroke in L1CAM Positive Extrac" by Bharti Manwani, Nivetha Brathaban et al.

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By Abiya Farhan Baqai, Bharti Manwani, Nivetha Brathaban, Yashee Munshi
| Texas Medical Center
Abstract L1CAM-positive extracellular vesicles (L1EV) are an emerging biomarker that may better reflect ongoing neuronal damage than other blood-based biomarkers. The physiological roles and regulation of L1EVs and their small RNA cargoes following stroke is unknown. We sought to characterize L1EV small RNAs following stroke and assess L1EV RNA signatures for diagnosing stroke using weighted gene co-expression network analysis and random forest (RF) machine learning algorithms.
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