Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Michael P Chen"'
Autor:
Jiyeong Kim, Kimberly G. Leonte, Michael L. Chen, John B. Torous, Eleni Linos, Anthony Pinto, Carolyn I. Rodriguez
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-5 (2024)
Abstract Despite the promising capacity of large language model (LLM)-powered chatbots to diagnose diseases, they have not been tested for obsessive-compulsive disorder (OCD). We assessed the diagnostic accuracy of LLMs in OCD using vignettes and fou
Externí odkaz:
https://doaj.org/article/2c5177e0ddc743a5b67c0203f6ce1f80
Publikováno v:
MedEdPORTAL, Vol 20 (2024)
Introduction Global ophthalmology opportunities are becoming increasingly popular, and international partnerships are becoming more common among academic training institutions in the United States. There is need for training in the complex relational
Externí odkaz:
https://doaj.org/article/4ddc2dbe8c0f43df87b0050f23142371
Autor:
Andrew Östör, Filip Van den Bosch, Kim Papp, Cecilia Asnal, Ricardo Blanco, Jacob Aelion, Kyle Carter, Vassilis Stakias, Ralph Lippe, Leonidas Drogaris, Ahmed M. Soliman, Michael M. Chen, Byron Padilla, Alan Kivitz
Publikováno v:
Rheumatology and Therapy, Vol 11, Iss 3, Pp 633-648 (2024)
Abstract Introduction Long-term therapeutic options providing durable response and tolerability are needed for psoriatic arthritis (PsA). The ongoing KEEPsAKE 2 trial is evaluating risankizumab treatment in patients with active PsA who previously had
Externí odkaz:
https://doaj.org/article/9ce4042ecece4341be994d1a7b7901c4
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
Dendritic cells (DCs) play a central role in the orchestration of effective T cell responses against tumors. However, their functional behavior is context-dependent. DC type, transcriptional program, location, intratumoral factors, and inflammatory m
Externí odkaz:
https://doaj.org/article/4b57a07e1bda42679b4295753dcebc0a
Publikováno v:
PLoS ONE, Vol 8, Iss 7, p e70064 (2013)
BACKGROUND: The reasons that patients with multidrug-resistant tuberculosis (MDR TB) miss treatment are multi-factorial and complex. Identifying patterns of treatment interruption that predict poor outcomes can be used to target program activities ai
Externí odkaz:
https://doaj.org/article/e77d4ec8f2ac451888833ce320243614
Publikováno v:
JMIR Public Health and Surveillance, Vol 10, p e51279 (2024)
BackgroundThe COVID-19 pandemic rapidly changed the landscape of clinical practice in the United States; telehealth became an essential mode of health care delivery, yet many components of telehealth use remain unknown years after the disease’s eme
Externí odkaz:
https://doaj.org/article/cc6242ff506f4155be1b70d65e6f2a92
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 12, Iss 19 (2023)
Externí odkaz:
https://doaj.org/article/7d9734c750e64f07831f5b3783ce954a
Autor:
Marcos Devanir Silva da Costa, Carolina Torres Soares, Patricia Alessandra Dastoli, Jardel Mendonça Nicácio, Frederico Adolfo Benevides Silva, Maria Teresa de Seixas Alves, Michael Jenwei Chen, Andrea Maria Cappellano, Nasjla Saba Silva, Sergio Cavalheiro
Publikováno v:
Archives of Pediatric Neurosurgery, Vol 5, Iss 3, Pp e20102023-e20102023 (2023)
Central nervous system tumors in pediatric patients represent the most frequent solid tumor type in this age group, especially ependymomas, which comprise 5% of childhood intracranial tumors, and occur mainly in the posterior fossa. The MEDLINE and C
Externí odkaz:
https://doaj.org/article/5f4f8f6fb2144fd0bfc2538f3e5ed29f
Autor:
Anna G. Green, Chang Ho Yoon, Michael L. Chen, Yasha Ektefaie, Mack Fina, Luca Freschi, Matthias I. Gröschel, Isaac Kohane, Andrew Beam, Maha Farhat
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
Pathogen whole genome sequencing, coupled with statistical and machine learning models, offers a promising solution to multi-drug resistance diagnosis. Here, the authors present two deep convolutional neural networks that predict the antibiotic resis
Externí odkaz:
https://doaj.org/article/324ced25c6614875b873dd6824eb5f41
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Semi-conducting Fe oxide minerals, such as hematite, are well known to influence the fate of contaminants and nutrients in many environmental settings through sorption and release of Fe(II) resulting from microbial or abiotic reduction. Stud
Externí odkaz:
https://doaj.org/article/d28d55eb3b48419dae1c3a6431bdb833