Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Prakrati C. Acharya"'
Autor:
Prakrati C. Acharya, Raul Alba, Pajaree Krisanapan, Chirag M. Acharya, Supawadee Suppadungsuk, Eva Csongradi, Michael A. Mao, Iasmina M. Craici, Jing Miao, Charat Thongprayoon, Wisit Cheungpasitporn
Publikováno v:
Diseases, Vol 12, Iss 8, p 185 (2024)
Chronic kidney disease (CKD) patients can benefit from personalized education on lifestyle and nutrition management strategies to enhance healthcare outcomes. The potential use of chatbots, introduced in 2022, as a tool for educating CKD patients has
Externí odkaz:
https://doaj.org/article/de28e5e8318b4a4a99ec1b95755ba598
Autor:
Charat Thongprayoon, Pradeep Vaitla, Caroline C. Jadlowiec, Napat Leeaphorn, Shennen A. Mao, Michael A. Mao, Fahad Qureshi, Wisit Kaewput, Fawad Qureshi, Supawit Tangpanithandee, Pajaree Krisanapan, Pattharawin Pattharanitima, Prakrati C. Acharya, Pitchaphon Nissaisorakarn, Matthew Cooper, Wisit Cheungpasitporn
Publikováno v:
Medicines, Vol 10, Iss 4, p 25 (2023)
Background: Better understanding of the different phenotypes/subgroups of non-U.S. citizen kidney transplant recipients may help the transplant community to identify strategies that improve outcomes among non-U.S. citizen kidney transplant recipients
Externí odkaz:
https://doaj.org/article/1a68025869dc4ae9a1be0986b8618185
Autor:
Bryan Nguyen, Chirag Acharya, Supawit Tangpanithandee, Jing Miao, Pajaree Krisanapan, Charat Thongprayoon, Omar Amir, Michael A. Mao, Wisit Cheungpasitporn, Prakrati C. Acharya
Publikováno v:
International Journal of Molecular Sciences, Vol 24, Iss 4, p 3977 (2023)
Patients with IgA nephropathy (IgAN), including Henoch-Schönlein purpura nephritis (HSP), who present with rapidly progressive glomerulonephritis (RPGN) have a poor prognosis despite aggressive immunosuppressive therapy. The utility of plasmapheresi
Externí odkaz:
https://doaj.org/article/4aa9a124320f4597835d6242625af044
Autor:
Charat Thongprayoon, Caroline C. Jadlowiec, Napat Leeaphorn, Jackrapong Bruminhent, Prakrati C. Acharya, Chirag Acharya, Pattharawin Pattharanitima, Wisit Kaewput, Boonphiphop Boonpheng, Wisit Cheungpasitporn
Publikováno v:
Medicines, Vol 8, Iss 11, p 66 (2021)
Background: Black kidney transplant recipients have worse allograft outcomes compared to White recipients. The feature importance and feature interaction network analysis framework of machine learning random forest (RF) analysis may provide an unders
Externí odkaz:
https://doaj.org/article/be0d3cadecf04ff681d3173a1c4ca431
Autor:
Charat Thongprayoon, Pradeep Vaitla, Caroline C. Jadlowiec, Shennen A. Mao, Michael A. Mao, Prakrati C. Acharya, Napat Leeaphorn, Wisit Kaewput, Pattharawin Pattharanitima, Supawit Tangpanithandee, Pajaree Krisanapan, Pitchaphon Nissaisorakarn, Matthew Cooper, Wisit Cheungpasitporn
Publikováno v:
Clinical Transplantation. 37
Autor:
Charat Thongprayoon, Caroline C. Jadlowiec, Wisit Kaewput, Pradeep Vaitla, Shennen A. Mao, Michael A. Mao, Napat Leeaphorn, Fawad Qureshi, Pattharawin Pattharanitima, Fahad Qureshi, Prakrati C. Acharya, Pitchaphon Nissaisorakarn, Matthew Cooper, Wisit Cheungpasitporn
Publikováno v:
Journal of Personalized Medicine; Volume 12; Issue 6; Pages: 859
Background: There have been concerns regarding increased perioperative mortality, length of hospital stay, and rates of graft loss in kidney transplant recipients with functional limitations. The application of machine learning consensus clustering a
Autor:
Caroline C. Jadlowiec, Boonphiphop Boonpheng, Wisit Cheungpasitporn, Chirag Acharya, Napat Leeaphorn, Prakrati C Acharya, Jackrapong Bruminhent, Pattharawin Pattharanitima, Wisit Kaewput, Charat Thongprayoon
Publikováno v:
Medicines, Vol 8, Iss 66, p 66 (2021)
Medicines
Volume 8
Issue 11
Medicines
Volume 8
Issue 11
Background: Black kidney transplant recipients have worse allograft outcomes compared to White recipients. The feature importance and feature interaction network analysis framework of machine learning random forest (RF) analysis may provide an unders
Autor:
Charat Thongprayoon, Yeshwanter Radhakrishnan, Caroline C. Jadlowiec, Shennen A. Mao, Michael A. Mao, Pradeep Vaitla, Prakrati C. Acharya, Napat Leeaphorn, Wisit Kaewput, Pattharawin Pattharanitima, Supawit Tangpanithandee, Pajaree Krisanapan, Pitchaphon Nissaisorakarn, Matthew Cooper, Wisit Cheungpasitporn
Publikováno v:
Journal of Personalized Medicine; Volume 12; Issue 12; Pages: 1992
Background:Our study aimed to characterize kidney transplant recipients who received high kidney donor profile index (KDPI) kidneys using unsupervised machine learning approach. Methods:We used the OPTN/UNOS database from 2010 to 2019 to perform cons
Autor:
Charat Thongprayoon, Juan Medaura, Tarun Bathini, Poemlarp Mekraksakit, Chirag Acharya, Wisit Cheungpasitporn, D. G. Anton, Karthik Kovvuru, Prakrati C Acharya, Panupong Hansrivijit, Swetha R Kanduri, Pradeep Vaitla, Pattharawin Pattharanitima
Publikováno v:
Diseases
Diseases, Vol 9, Iss 39, p 39 (2021)
Volume 9
Issue 2
Diseases, Vol 9, Iss 39, p 39 (2021)
Volume 9
Issue 2
Very-low-carbohydrate diets or ketogenic diets are frequently used for weight loss in adults and as a therapy for epilepsy in children. The incidence and characteristics of kidney stones in patients on ketogenic diets are not well studied. Methods: A