Zobrazeno 1 - 10
of 363
pro vyhledávání: '"Kayvan, Najarian"'
Autor:
Flora Rajaei, Peter Toogood, Renju Jacob, Mason Baber, Mya Gough, Harm Derksen, Emily Wittrup, Kayvan Najarian
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-8 (2024)
Abstract Drug discovery often involves targeting specific members within a family of similar proteins. For example, pyruvate dehydrogenase kinase (PDHK) exists as four isozymes, which exhibit varying expression patterns across multiple tissues. Diffe
Externí odkaz:
https://doaj.org/article/c17ccb55fea740458eb8454145b58473
Autor:
Olivia P. Alge, Joshua Pickard, Winston Zhang, Shuyang Cheng, Harm Derksen, Gilbert S. Omenn, Jonathan Gryak, J. Scott VanEpps, Kayvan Najarian
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract The quick Sequential Organ Failure Assessment (qSOFA) system identifies an individual’s risk to progress to poor sepsis-related outcomes using minimal variables. We used Support Vector Machine, Learning Using Concave and Convex Kernels, an
Externí odkaz:
https://doaj.org/article/27c72c90a987490c8a1c1cd8f924a138
Autor:
Jonathan Gryak, PhD, Aleksandra Georgievska, BS, Justin Zhang, BS, Kayvan Najarian, PhD, Rajan Ravikumar, MD, Georgiana Sanders, MD MS, Charles F. Schuler, IV, MD
Publikováno v:
Journal of Allergy and Clinical Immunology: Global, Vol 3, Iss 3, Pp 100252- (2024)
Background: Clinical testing, including food-specific skin and serum IgE level tests, provides limited accuracy to predict food allergy. Confirmatory oral food challenges (OFCs) are often required, but the associated risks, cost, and logistic difficu
Externí odkaz:
https://doaj.org/article/892aee84df5a4aada9ae7f182dc34d48
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Timely and accurate referral of end-stage heart failure patients for advanced therapies, including heart transplants and mechanical circulatory support, plays an important role in improving patient outcomes and saving costs. However, the dec
Externí odkaz:
https://doaj.org/article/4ae676fc25274e789cc304b6a55f55d1
Publikováno v:
Diagnostics, Vol 14, Iss 16, p 1741 (2024)
Background: Acute myocardial infarctions are deadly to patients and burdensome to healthcare systems. Most recorded infarctions are patients’ first, occur out of the hospital, and often are not accompanied by cardiac comorbidities. The clinical man
Externí odkaz:
https://doaj.org/article/ff38114cbf7d4bd09b2ded890ea824bf
Publikováno v:
Diagnostics, Vol 14, Iss 15, p 1634 (2024)
Pediatric respiratory disease diagnosis and subsequent treatment require accurate and interpretable analysis. A chest X-ray is the most cost-effective and rapid method for identifying and monitoring various thoracic diseases in children. Recent devel
Externí odkaz:
https://doaj.org/article/4bcaa319989742d9b9723765d0ba69b1
Autor:
Venkatakrishna Rajajee, MD, Reza Soroushmehr, PhD, Craig A. Williamson, MD, Kayvan Najarian, PhD, Kevin Ward, MD, Hakam Tiba, MD, MS
Publikováno v:
Critical Care Explorations, Vol 5, Iss 9, p e0953 (2023)
OBJECTIVES:. Transcranial Doppler (TCD) has been evaluated as a noninvasive intracranial pressure (ICP) assessment tool. Correction for insonation angle, a potential source of error, with transcranial color-coded sonography (TCCS) has not previously
Externí odkaz:
https://doaj.org/article/367b9e3f34384b0aabe10d000fd0db0e
Publikováno v:
Sensors, Vol 24, Iss 7, p 2189 (2024)
Monitoring blood pressure, a parameter closely related to cardiovascular activity, can help predict imminent cardiovascular events. In this paper, a novel method is proposed to customize an existing mechanistic model of the cardiovascular system thro
Externí odkaz:
https://doaj.org/article/06fcf72ee3044182aa77c17eb02c7395
Autor:
Cristian Minoccheri, Craig A. Williamson, Mark Hemmila, Kevin Ward, Erica B. Stein, Jonathan Gryak, Kayvan Najarian
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-9 (2022)
Abstract Background Traumatic Brain Injury (TBI) is a common condition with potentially severe long-term complications, the prediction of which remains challenging. Machine learning (ML) methods have been used previously to help physicians predict lo
Externí odkaz:
https://doaj.org/article/462f9efaa45e4c2a9a8e04d53003c169
Publikováno v:
PLOS Digital Health, Vol 2, Iss 6, p e0000281 (2023)
Missing data presents a challenge for machine learning applications specifically when utilizing electronic health records to develop clinical decision support systems. The lack of these values is due in part to the complex nature of clinical data in
Externí odkaz:
https://doaj.org/article/2f3e3624ab4d4ccaae5d15175f12bb42