NT-proBNP Reflects Left Ventricular Hypertrophy Rather than Left Ventricular Dilatation or Systolic Dysfunction in Patients with Fabry Disease.

Autor: Gatterer, Constantin¹ (AUTHOR) constantin.gatterer@meduniwien.ac.at, Beitzke, Dietrich² (AUTHOR), Sunder-Plassmann, Gere³ (AUTHOR), Friedl, Maximilian¹ (AUTHOR) senta.graf@meduniwien.ac.at, Hohensinner, Philipp¹ (AUTHOR), Mann, Christopher¹ (AUTHOR), Ponleitner, Markus⁴ (AUTHOR), Graf, Senta¹ (AUTHOR), Lenz, Max¹ (AUTHOR) max.lenz@meduniwien.ac.at

Publikováno v: Journal of Clinical Medicine. Oct2024, Vol. 13 Issue 19, p5953. 15p.

Prognostic value of NT-proBNP in the new era of heart failure treatment.

Autor: Nguyen, Dat Vu^1,2 (AUTHOR), Nguyen, Si Van¹ (AUTHOR) si.nguyen@ump.edu.vn, Pham, An Le¹ (AUTHOR), Nguyen, Bay Thi³ (AUTHOR), Hoang, Sy Van^1,4 (AUTHOR)

Publikováno v: PLoS ONE. 9/13/2024 c, Vol. 19 Issue 9, p1-9. 9p.

Serum NT-proBNP levels in diabetes and its association with obesity, inflammation and glycemic status.

Autor: Dey, Saurav¹, Bhattacharyya, Swati², Sinharay, Manali³ sinharay.manali@gmail.com

Publikováno v: Asian Journal of Medical Sciences. Aug2024, Vol. 15 Issue 8, p48-53. 6p.

Combined Use of GDF-15 and NT-Pro BNP for Outcome Prediction in Patients with Acute Heart Failure.

Autor: Płonka, Joanna¹ (AUTHOR) jbplonka0@gmail.com, Klus, Anna² (AUTHOR) klusanna@interia.pl, Wężyk, Natalia¹ (AUTHOR) klaudia.da@gmail.com, Dąbrowska, Klaudia¹ (AUTHOR) lrzepiela@wp.pl, Rzepiela, Lidia¹ (AUTHOR) krzysztof.nalewajko@uni.opole.pl, Gawrylak-Dryja, Ewa² (AUTHOR) ewa.gawrylak-dryja@usk.opole.pl, Nalewajko, Krzysztof¹ (AUTHOR) feusette@wp.pl, Feusette, Piotr¹ (AUTHOR) marek.gierlotka@gmail.com, Gierlotka, Marek¹ (AUTHOR)

Publikováno v: Journal of Clinical Medicine. Oct2024, Vol. 13 Issue 19, p5936. 10p.

NT-LLM: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models

Autor: Ji, Yanbiao, Liu, Chang, Chen, Xin, Ding, Yue, Luo, Dan, Li, Mei, Lin, Wenqing, Lu, Hongtao

Graphs are a fundamental data structure for representing relationships in real-world scenarios. With the success of Large Language Models (LLMs) across various natural language processing (NLP) tasks, there has been growing interest in integrating LL

Externí odkaz: http://arxiv.org/abs/2410.10743