Rapid prediction of acute thrombosis via nanoengineered immunosensors with unsupervised clustering for multiple circulating biomarkers

By sjmartinez • December 12, 2024

Wang K, Wang S, Margolis S, Cho JM, Zhu E, Dupuy A, Yin J, Park SK, Magyar CE, Adeyiga OB, Jensen KS, Belperio JA, Passam F, Zhao P, Hsiai TK. Rapid prediction of acute thrombosis via nanoengineered immunosensors with unsupervised clustering for multiple circulating biomarkers. Sci Adv. 2024 Dec 13;10(50):eadq6778. doi: 10.1126/sciadv.adq6778. Epub 2024 Dec 11. PMID: 39661669; PMCID: PMC11633740.

Tags: Cardiology/Epi, DGSOM Student, Infectious Diseases, Post Doc, Publications, Pulmonary, Critical Care & Sleep Medicine, Veterans Administration

Related Posts

Artificial intelligence-derived splenic response in cardiac positron emission tomography is associated with major adverse cardiovascular events: a multi-site study

Ramirez G, Dharmavaram NL, Shanbhag A, Miller RJH, Kavanagh PB, Yi J, Lemley M, Builoff V, Marcinkiewicz A, Dey D, Hainer J, Wopperer S, Knight[...]

Biomarkers associated with efficacy of first-line nivolumab vs. sorafenib in advanced hepatocellular carcinoma: results from the CheckMate 459 phase III trial

Neely J, Yao J, Kudo M, Finn RS, Sangro B, Melero I, El-Khoueiry AB, Yau T, Harding JJ, Rosmorduc O, Tschaika M, Novosiadly R, Cruz[...]

Deep learning-enabled screening of chronic kidney disease from echocardiography

Yuan V, Ieki H, Sandhu A, Nguyen LH, Cheng PP, Chang ST, Ambrosy AP, Kwan AC, Go AS, Cheng S, Ouyang D. Deep learning-enabled screening[...]