Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.7554/eLife.52938 http://scihub22266oqcxt.onion/10.7554/eLife.52938 32393438!7217700!32393438     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Elife 2020 ; 9 (ä): ä Nephropedia Template TP {{tp|p=32393438|t=2020. Intelligent classification of platelet aggregates by agonist type |pdf=|usr=}}{{32393438}} gab.com Text Intelligent classification of platelet aggregates by agonist type JO: Elife http://www.kidney.de/pget.php?&tw=1&pmid=32393438 #FOAvip Platelets are anucleate cells in blood whose principal function is to stop bleeding by forming aggregates for hemostatic reactions. In addition to their participation in physiological hemostasis, platelet aggregates are also involved in pathological thrombosis and play an important role in inflammation, atherosclerosis, and cancer metastasis. The aggregation of platelets is elicited by various agonists, but these platelet aggregates have long been considered indistinguishable and impossible to classify. Here we present an intelligent method for classifying them by agonist type. It is based on a convolutional neural network trained by high-throughput imaging flow cytometry of blood cells to identify and differentiate subtle yet appreciable morphological features of platelet aggregates activated by different types of agonists. The method is a powerful tool for studying the underlying mechanism of platelet aggregation and is expected to open a window on an entirely new class of clinical diagnostics, pharmacometrics, and therapeutics. Twit Text FOAVip Intelligent classification of platelet aggregates by agonist type ????Elife http://www.kidney.de/pget.php?&tw=1&pmid=32393438 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32393438 #FOAvip English Wikipedia <ref>{{Cite pmid|32393438}}</ref> Intelligent classification of platelet aggregates by agonist type #MMPMID32393438 Zhou Y; Yasumoto A; Lei C; Huang CJ; Kobayashi H; Wu Y; Yan S; Sun CW; Yatomi Y; Goda K Elife 2020[May]; 9 (ä): ä PMID32393438show ga Platelets are anucleate cells in blood whose principal function is to stop bleeding by forming aggregates for hemostatic reactions. In addition to their participation in physiological hemostasis, platelet aggregates are also involved in pathological thrombosis and play an important role in inflammation, atherosclerosis, and cancer metastasis. The aggregation of platelets is elicited by various agonists, but these platelet aggregates have long been considered indistinguishable and impossible to classify. Here we present an intelligent method for classifying them by agonist type. It is based on a convolutional neural network trained by high-throughput imaging flow cytometry of blood cells to identify and differentiate subtle yet appreciable morphological features of platelet aggregates activated by different types of agonists. The method is a powerful tool for studying the underlying mechanism of platelet aggregation and is expected to open a window on an entirely new class of clinical diagnostics, pharmacometrics, and therapeutics. |*Neural Networks, Computer[MESH] |*Platelet Aggregation[MESH] |Flow Cytometry[MESH] |Humans[MESH] |Lab-On-A-Chip Devices[MESH] |Microfluidic Analytical Techniques[MESH] |Platelet Activation[MESH]Intelligent classification of platelet aggregates by agonist type (epmc).pdf DeepDyve Pubget Overpricing