Foltynski P - Search Results

1

Accuracy of Automatic Carbohydrate, Protein, Fat and Calorie Counting Based on Voice Descriptions of Meals in People with Type 1 Diabetes.

Ladyzynski P, Krzymien J, Foltynski P, Rachuta M, Bonalska B. Ladyzynski P, et al. Among authors: foltynski p. Nutrients. 2018 Apr 21;10(4):518. doi: 10.3390/nu10040518. Nutrients. 2018. PMID: 29690520 Free PMC article.

2

Validation of a hemoglobin A1c model in patients with type 1 and type 2 diabetes and its use to go beyond the averaged relationship of hemoglobin A1c and mean glucose level.

Ladyzynski P, Foltynski P, Bak MI, Sabalinska S, Krzymien J, Kawiak J. Ladyzynski P, et al. Among authors: foltynski p. J Transl Med. 2014 Dec 10;12:328. doi: 10.1186/s12967-014-0328-5. J Transl Med. 2014. PMID: 25491199 Free PMC article.

3

Efficacy of automatic bolus calculator with automatic speech recognition in patients with type 1 diabetes: A randomized cross-over trial.

Foltynski P, Ladyzynski P, Pankowska E, Mazurczak K. Foltynski P, et al. J Diabetes. 2018 Jul;10(7):600-608. doi: 10.1111/1753-0407.12641. Epub 2018 Feb 9. J Diabetes. 2018. PMID: 29316338 Clinical Trial.

4

Validation of hemoglobin glycation models using glycemia monitoring in vivo and culturing of erythrocytes in vitro.

Ladyzyński P, Wójcicki JM, Bak M, Sabalińska S, Kawiak J, Foltyński P, Krzymień J, Karnafel W. Ladyzyński P, et al. Among authors: foltynski p. Ann Biomed Eng. 2008 Jul;36(7):1188-202. doi: 10.1007/s10439-008-9508-x. Epub 2008 May 1. Ann Biomed Eng. 2008. PMID: 18449641

5

Hemoglobin glycation rate constant in non-diabetic Individuals.

Ladyżyński P, Wójcicki JM, Bąk MI, Sabalińska S, Kawiak J, Foltyński P, Krzymień J, Karnafel W. Ladyżyński P, et al. Among authors: foltynski p. Ann Biomed Eng. 2011 Nov;39(11):2721-34. doi: 10.1007/s10439-011-0366-6. Epub 2011 Jul 28. Ann Biomed Eng. 2011. PMID: 21796500

6

What we can really expect from telemedicine in intensive diabetes treatment: 10 years later.

Wojcicki JM, Ladyzynski P, Foltynski P. Wojcicki JM, et al. Among authors: foltynski p. Diabetes Technol Ther. 2013 Mar;15(3):260-8. doi: 10.1089/dia.2012.0242. Epub 2013 Jan 23. Diabetes Technol Ther. 2013. PMID: 23343333 Review.

7

A new smartphone-based method for wound area measurement.

Foltynski P, Ladyzynski P, Wojcicki JM. Foltynski P, et al. Artif Organs. 2014 Apr;38(4):346-52. doi: 10.1111/aor.12169. Epub 2013 Sep 19. Artif Organs. 2014. PMID: 24102380

8

The First Use of Bolus Calculator With Speech Analyzer.

Mazurczak K, Pańkowska E, Ładyżyński P, Foltyński P. Mazurczak K, et al. Among authors: foltynski p. J Diabetes Sci Technol. 2017 Jan;11(1):7-11. doi: 10.1177/1932296816683963. Epub 2016 Dec 20. J Diabetes Sci Technol. 2017. PMID: 28264176 Free PMC article. Clinical Trial.

9

A Randomized Controlled Study of an Insulin Dosing Application That Uses Recognition and Meal Bolus Estimations.

Pańkowska E, Ładyżyński P, Foltyński P, Mazurczak K. Pańkowska E, et al. Among authors: foltynski p. J Diabetes Sci Technol. 2017 Jan;11(1):43-49. doi: 10.1177/1932296816683409. Epub 2016 Dec 20. J Diabetes Sci Technol. 2017. PMID: 28264177 Free PMC article. Clinical Trial.

10

Digital Planimetry With a New Adaptive Calibration Procedure Results in Accurate and Precise Wound Area Measurement at Curved Surfaces.

Foltynski P, Ladyzynski P. Foltynski P, et al. J Diabetes Sci Technol. 2022 Jan;16(1):128-136. doi: 10.1177/1932296820959346. Epub 2020 Oct 1. J Diabetes Sci Technol. 2022. PMID: 33000645 Free PMC article.

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