Zobrazeno 1 - 10
of 4 701
pro vyhledávání: '"Margolin P"'
Autor:
Hao, Yuexing, Holmes, Jason, Waddle, Mark, Yu, Nathan, Vickers, Kirstin, Preston, Heather, Margolin, Drew, Löckenhoff, Corinna E., Vashistha, Aditya, Ghassemi, Marzyeh, Kalantari, Saleh, Liu, Wei
Cancer patients often struggle to transition swiftly to treatment due to limited institutional resources, lack of sophisticated professional guidance, and low health literacy. The emergence of Large Language Models (LLMs) offers new opportunities for
Externí odkaz:
http://arxiv.org/abs/2409.19100
Autor:
Shea, Ashley L., Omapang, Aspen K. B., Cho, Ji Yong, Ginsparg, Miryam Y., Bazarova, Natalie, Hui, Winice, Kizilcec, René F., Tong, Chau, Margolin, Drew
Most Americans agree that misinformation, hate speech and harassment are harmful and inadequately curbed on social media through current moderation practices. In this paper, we aim to understand the discursive strategies employed by people in respons
Externí odkaz:
http://arxiv.org/abs/2405.08142
Autor:
Yoshiya Tanaka, Mitsumasa Kishimoto, Koshiro Sonomoto, Koichi Amano, Masayoshi Harigai, Alina Onofrei, Jacqueline O’Brien, Zachary Margolin, Christine Barr, Yasushi Mizuno, Ekta Agarwal, Naonobu Sugiyama, Hisashi Yamanaka
Publikováno v:
Rheumatology and Therapy, Vol 11, Iss 5, Pp 1237-1253 (2024)
Abstract Introduction The evolution of disease-modifying antirheumatic drugs (DMARDs) for the treatment of rheumatoid arthritis (RA) has improved patient prognosis. However, more real-world safety/effectiveness data comparing methotrexate (MTX), tofa
Externí odkaz:
https://doaj.org/article/bd4e692904d347f48204599691f8f2c3
Autor:
Jean-Louis Margolin
Publikováno v:
Moussons, Vol 43, Pp 175-178 (2024)
Externí odkaz:
https://doaj.org/article/2ad6764369dc4f49b61c9f17f475de60
Autor:
Shosh Zismanov, Bar Shalem, Yulia Margolin-Miller, Dalia Rosin-Grunewald, Roy Adar, Ayelet Keren-Naus, Doron Amichay, Anat Ben-Dor, Yonat Shemer-Avni, Angel Porgador, Noam Shental, Tomer Hertz
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-9 (2024)
Abstract Background The SARS-CoV-2 pandemic led to unprecedented testing demands, causing major testing delays globally. One strategy used for increasing testing capacity was pooled-testing, using a two-stage technique first introduced during WWII. H
Externí odkaz:
https://doaj.org/article/a4b0f901b9b449d1b9d5ad13d523cac1
Autor:
Krzysztof Piersiala, Eric Hjalmarsson, Vilma Lagebro, Pedro Farrajota Neves da Silva, Rusana Bark, Alexandra Elliot, Linda Marklund, Gregori Margolin, Susanna Kumlien Georén, Lars-Olaf Cardell
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
Despite the employment of extensive therapeutic strategies, OSCC recurrence and mortality rates persist at high levels. This underscores the shortcomings of current prognostic models and the urgency for refined biomarkers. This study explores the pro
Externí odkaz:
https://doaj.org/article/58feeebcdda24a8dba1f7d2c105bd512
Publikováno v:
mBio, Vol 15, Iss 8 (2024)
ABSTRACT The actin-like FtsA protein is essential for function of the cell division machinery, or divisome, in many bacteria including Escherichia coli. Previous in vitro studies demonstrated that purified wild-type FtsA assembles into closed mini-ri
Externí odkaz:
https://doaj.org/article/8507c8a80f6e425facd1c68f9b1fb37b
Autor:
Feng, Kexin, Duong, Jacqueline B., Carta, Kayla E., Walters, Sierra, Margolin, Gayla, Timmons, Adela C., Chaspari, Theodora
We design a metric learning approach that aims to address computational challenges that yield from modeling human outcomes from ambulatory real-life data. The proposed metric learning is based on a Siamese neural network (SNN) that learns the relativ
Externí odkaz:
http://arxiv.org/abs/2210.15247
Publikováno v:
Methods in Psychology, Vol 11, Iss , Pp 100144- (2024)
Externí odkaz:
https://doaj.org/article/a274f618f7514b1898e5b9eab4a2c029
Autor:
Patrick R. Pata, Moira Galbraith, Kelly Young, Andrew R. Margolin, R. Ian Perry, Brian P.V. Hunt
Publikováno v:
MethodsX, Vol 12, Iss , Pp 102676- (2024)
Identifying biogeographic regions through cluster analysis of species distribution data is a common method for partitioning ecosystems. Selecting the appropriate cluster analysis method requires a comparison of multiple algorithms. In this study, we
Externí odkaz:
https://doaj.org/article/ae3132dce8d74a3aa385bf17f4ad0610