Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Nidhi Naik"'
Autor:
Joji Tokita, David Lam, Aida Vega, Stephanie Wang, Leonard Amoruso, Tamara Muller, Nidhi Naik, Shivani Rathi, Sharlene Martin, Azadeh Zabetian, Catherine Liu, Catherine Sinfield, Tony McNicholas, Fergus Fleming, Steven G. Coca, Girish N Nadkarni, Roger Tun, Mike Kattan, Michael J. Donovan, Arshad K. Rahim
Publikováno v:
Journal of Primary Care & Community Health, Vol 15 (2024)
Introduction/Objective: The KidneyIntelX is a multiplex, bioprognostic, immunoassay consisting of 3 plasma biomarkers and clinical variables that uses machine learning to predict a patient’s risk for a progressive decline in kidney function over 5
Externí odkaz:
https://doaj.org/article/096b358f11364f89bec96d7956413255
Autor:
Joji Tokita, Aida Vega, Catherine Sinfield, Nidhi Naik, Shivani Rathi, Sharlene Martin, Stephanie Wang, Leonard Amoruso, Azadeh Zabetian, Steven G. Coca, Girish N. Nadkarni, Fergus Fleming, Michael J. Donovan, Robert Fields
Publikováno v:
Journal of Primary Care & Community Health, Vol 13 (2022)
Introduction and Objective: The lack of precision to identify patients with early-stage diabetic kidney disease (DKD) at near-term risk for progressive decline in kidney function results in poor disease management often leading to kidney failure requ
Externí odkaz:
https://doaj.org/article/4fbcffdddb4c47dfa6f536c92243acdd
Autor:
null Nidhi Naik, null Radhey Shyam Kaushal, null Tarun Kumar Upadhyay Upadhyay, null Danial Kahrizi, null Mohammad A A Al-Najjar, null Mohammad Suhail Khan, null Samra Siddiqui
Publikováno v:
Cellular and Molecular Biology. 68:117-123
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::184fa1a436de2b6f13603ae56b102ae9
https://doi.org/10.14715/cmb/2022.68.10.19
https://doi.org/10.14715/cmb/2022.68.10.19
Autor:
Radhey Shyam Kaushal, Nidhi Naik, Maitri Prajapati, Shruti Rane, Himali Raulji, NGO Festus Afu, Tarun Kumar Upadhyay, Mohd Saeed
Publikováno v:
Chemical Biology & Drug Design.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49d163846579025b6db38613498663e2
https://doi.org/10.1111/cbdd.14227
https://doi.org/10.1111/cbdd.14227
Autor:
Shan Zhao, Girish N. Nadkarni, Zahi A. Fayad, Sulaiman Somani, Matthew A. Levin, Erwin P. Bottinger, Jessica K De Freitas, Benjamin S. Glicksberg, Valentin Fuster, Anuradha Lala, Keith Sigel, Felix Richter, Allan C Just, Alexander W. Charney, Nidhi Naik
Publikováno v:
medRxiv
Journal of General Internal Medicine
Journal of General Internal Medicine
Background Data on patients with coronavirus disease 2019 (COVID-19) who return to hospital after discharge are scarce. Characterization of these patients may inform post-hospitalization care. Objective To describe clinical characteristics of patient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bafa94851ac3b4b4bdc9c01323d8972f
https://doi.org/10.1007/s11606-020-06120-6
https://doi.org/10.1007/s11606-020-06120-6
Autor:
Erin B. Lavik, Rose Zilberberg, Nuzhat Maisha, Nidhi Naik, Tobias Coombs, Mawuyon Okesola, Narendra Pandala
Publikováno v:
Bioconjugate chemistry. 32(10)
Translation of intravenously administered nanomaterials to the clinic is limited due to adverse infusion reactions. While these reactions are infrequent, with up to 10% prone to experiencing infusion reactions, the reactions can be severe and life-th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2acfe061b59df789511f3068e6ddb3dd
https://pubmed.ncbi.nlm.nih.gov/34499487
https://pubmed.ncbi.nlm.nih.gov/34499487
Autor:
Nidhi Naik, Ridhima Gaunkar, Amita Kenkre Kamat, Akshatha Gadiyar, Vinayak Kamath, Prachi Mungi
Publikováno v:
Asian Pacific journal of cancer prevention : APJCP. 22(9)
Objective: This study aims to assess the correlation of exhaled CO and nicotine dependence with the occurrence of oral mucosal lesions while also taking into consideration socio-demographic, clinical and anthropometrical characteristics of participan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77991571a6f7c1c99455afed3e0232d3
https://pubmed.ncbi.nlm.nih.gov/34582646
https://pubmed.ncbi.nlm.nih.gov/34582646
Autor:
Anuradha Lala, Zahi A. Fayad, Paul F. O'Reilly, Samuel J. Lee, Akhil Vaid, Emilia Bagiella, Alexander W. Charney, Nidhi Naik, Carlos Cordon-Cardo, Barbara Murphy, Erwin P. Bottinger, Riccardo Miotto, Laura M. Huckins, Patricia Kovatch, Girish N. Nadkarni, Bethany Percha, Manish Paranjpe, Carol R. Horowitz, Judith A. Aberg, Judy H. Cho, Robert Freeman, Allan C. Just, Matteo Danieletto, Prem Timsina, Jessica K De Freitas, Dara Meyer, Jagat Narula, Edgar Argulian, Benjamin S. Glicksberg, Joseph Finkelstein, Andrew Kasarskis, Dennis S. Charney, Kipp W. Johnson, Eddye Golden, Ishan Paranjpe, David Reich, Manbir Singh, Fayzan Chaudhry, Valentin Fuster, Arash Kia, Eric J. Nestler, Adam Russak, Sulaiman Somani, Felix Richter, Matthew A. Levin, Shan Zhao, Noam D. Beckmann, Eric E. Schadt
Publikováno v:
Journal of Medical Internet Research
Journal of Medical Internet Research, Vol 22, Iss 11, p e24018 (2020)
Journal of Medical Internet Research, Vol 22, Iss 11, p e24018 (2020)
Background COVID-19 has infected millions of people worldwide and is responsible for several hundred thousand fatalities. The COVID-19 pandemic has necessitated thoughtful resource allocation and early identification of high-risk patients. However, e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c81420a70b05881dad2f0366fcee5860
https://pubmed.ncbi.nlm.nih.gov/33027032
https://pubmed.ncbi.nlm.nih.gov/33027032
Autor:
Akhil Vaid, Sulaiman Somani, Adam J Russak, Jessica K De Freitas, Fayzan F Chaudhry, Ishan Paranjpe, Kipp W Johnson, Samuel J Lee, Riccardo Miotto, Felix Richter, Shan Zhao, Noam D Beckmann, Nidhi Naik, Arash Kia, Prem Timsina, Anuradha Lala, Manish Paranjpe, Eddye Golden, Matteo Danieletto, Manbir Singh, Dara Meyer, Paul F O'Reilly, Laura Huckins, Patricia Kovatch, Joseph Finkelstein, Robert M. Freeman, Edgar Argulian, Andrew Kasarskis, Bethany Percha, Judith A Aberg, Emilia Bagiella, Carol R Horowitz, Barbara Murphy, Eric J Nestler, Eric E Schadt, Judy H Cho, Carlos Cordon-Cardo, Valentin Fuster, Dennis S Charney, David L Reich, Erwin P Bottinger, Matthew A Levin, Jagat Narula, Zahi A Fayad, Allan C Just, Alexander W Charney, Girish N Nadkarni, Benjamin S Glicksberg
BACKGROUND COVID-19 has infected millions of people worldwide and is responsible for several hundred thousand fatalities. The COVID-19 pandemic has necessitated thoughtful resource allocation and early identification of high-risk patients. However, e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7cd76b02df3778a741d10557536e7b3
https://doi.org/10.2196/preprints.24018
https://doi.org/10.2196/preprints.24018
Autor:
Akhil Vaid, Adam Russak, Benjamin S. Glicksberg, Jagat Narula, Edgar Argulian, Jessica K De Freitas, Riccardo Miotto, Felix Richter, Girish N. Nadkarni, Shan Zhao, Sulaiman Somani, Fayzan Chaudhry, Nidhi Naik
Publikováno v:
Europace
In the recent decade, deep learning, a subset of artificial intelligence and machine learning, has been used to identify patterns in big healthcare datasets for disease phenotyping, event predictions, and complex decision making. Public datasets for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7adde28b0cb94444c2d336778e0fdce
https://pubmed.ncbi.nlm.nih.gov/33564873
https://pubmed.ncbi.nlm.nih.gov/33564873