Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Faris Gulamali"'
Autor:
Faris Gulamali, Pushkala Jayaraman, Ashwin S. Sawant, Jacob Desman, Benjamin Fox, Annette Chang, Brian Y. Soong, Naveen Arivazagan, Alexandra S. Reynolds, Son Q. Duong, Akhil Vaid, Patricia Kovatch, Robert Freeman, Ira S. Hofer, Ankit Sakhuja, Neha S. Dangayach, David S. Reich, Alexander W. Charney, Girish N. Nadkarni
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-7 (2024)
Abstract Increased intracranial pressure (ICP) ≥15 mmHg is associated with adverse neurological outcomes, but needs invasive intracranial monitoring. Using the publicly available MIMIC-III Waveform Database (2000–2013) from Boston, we developed a
Externí odkaz:
https://doaj.org/article/8d9fbb73568949159dfb9737079a6077
Autor:
Masih A. Babagoli, Michael J. Beller, Juan P. Gonzalez-Rivas, Ramfis Nieto-Martinez, Faris Gulamali, Jeffrey I. Mechanick
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
BackgroundEthno-racial disparities in cardiometabolic diseases are driven by socioeconomic, behavioral, and environmental factors. Bayesian networks offer an approach to analyze the complex interaction of the multi-tiered modifiable factors and non-m
Externí odkaz:
https://doaj.org/article/e49ef21f9a3146a482aa7469071a11ab
Publikováno v:
Plastic and Reconstructive Surgery, Global Open, Vol 11, Iss 10S, Pp 41-41 (2023)
Externí odkaz:
https://doaj.org/article/570b6622827b41a7b1b8ab9ff7d54458
Cannabis Use and CKD: Epidemiological Associations and Mendelian RandomizationPlain-Language Summary
Autor:
Sergio Dellepiane, Ishan Paranjpe, Madhumitha Rajagopal, Samir Kamat, Ross O’Hagan, Faris Gulamali, Joshua L. Rein, Alexander W. Charney, Ron Do, Steven Coca, Benjamin S. Glicksberg, Girish N. Nadkarni
Publikováno v:
Kidney Medicine, Vol 5, Iss 2, Pp 100582- (2023)
Rationale & Objective: The association between cannabis use and chronic kidney disease (CKD) is controversial. We aimed to assess association of CKD with cannabis use in a large cohort study and then assess causality using Mendelian randomization wit
Externí odkaz:
https://doaj.org/article/324f5902f9fb430a95211ffd99f41d60
Autor:
Eucharist Kun, Emily M. Javan, Olivia Smith, Faris Gulamali, Javier de la Fuente, Brianna I. Flynn, Kushal Vajrala, Zoe Trutner, Prakash Jayakumar, Elliot M. Tucker-Drob, Mashaal Sohail, Tarjinder Singh, Vagheesh M. Narasimhan
The human skeletal form underlies our ability to walk on two legs, but unlike standing height, the genetic basis of limb lengths and skeletal proportions is less well understood. Here we applied a deep learning model to 31,221 whole body dual-energy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd085a35eb1f8338a0749dd1b9bdc457
https://doi.org/10.1101/2023.01.03.521284
https://doi.org/10.1101/2023.01.03.521284
Autor:
Girish Nadkarni, Ishan Paranjpe, Pushkala Jayaraman, Chen-Yang Su, Sirui Zhou, Steven Chen, Diane Del Valle, Ryan Thompson, Ephraim Kenigsberg, Shan Zhao, Suraj Jaladanki, Kumardeep Chaudhary, Steven Ascolillo, Akhil Vaid, Edgar Gonzalez-Kozlova, Arvind Kumar, Manish Paranjpe, Ross O'Hagan, Samir Kamat, Faris Gulamali, Justin Kauffman, Hui Xie, Joceyln Harris, Manishkumar Patel, Kimberly Argueta, Craig Batchelor, Kai Nie, Sergio Dellepiane, Leisha Scott, Matthew Levin, John He, Mayte Suárez-Fariñas, Steven Coca, Lili Chan, Evren Azeloglu, Eric Schadt, Noam Beckmann, Sacha Gnjatic, Miriam Merad, Seunghee Kim-Schulze, J. Brent Richards, Benjamin Glicksberg, Alexander Charney
Background Acute kidney injury (AKI) is a known complication of COVID-19 and is associated with an increased risk of in-hospital mortality. Unbiased proteomics using biological specimens can lead to improved risk stratification and discover pathophys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca3faf191c85bd2e7504675ad30d7210
https://doi.org/10.1101/2021.12.09.21267548
https://doi.org/10.1101/2021.12.09.21267548