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pro vyhledávání: '"Bharwani, A"'
arXiv admin note: This version has been removed by arXiv administrators due to copyright infringement
Comment: arXiv admin note: This version has been removed by arXiv administrators due to copyright infringement and inappropriate text reuse fro
Comment: arXiv admin note: This version has been removed by arXiv administrators due to copyright infringement and inappropriate text reuse fro
Externí odkaz:
http://arxiv.org/abs/2408.14483
Autor:
Linda Bakunda, Nicole Johnson, Rachel Crooks, Aleem Bharwani, Kannin Osei-Tutu, Daniel Okoro, Emmanuel Gye, Shelley Nearing, Heather Hinz, Penelope Smyth, Leah Peer, Shannon Ruzycki, Pamela Chu, Doreen Rabi, Mala Joneja, Pamela Roach, Cheryl Barnabe, Aliya Kassam
Publikováno v:
MedEdPublish, Vol 14 (2024)
Purpose There is a pressing need to address all forms of anti-oppression in medicine, given systemic harm and inequities in care and outcomes for patients and health care professionals from equity-deserving groups. Revising definitions of professiona
Externí odkaz:
https://doaj.org/article/643fff3d7f164e31b14c280ce6cb6ceb
Autor:
Andrea Rockall, Xingfeng Li, Nicholas Johnson, Ioannis Lavdas, Shalini Santhakumaran, A Toby Prevost, Dow-Mu Koh, Shonit Punwani, Vicky Goh, Nishat Bharwani, Amandeep Sandhu, Harbir Sidhu, Andrew Plumb, James Burn, Aisling Fagan, Alf Oliver, Georg J Wengert, Daniel Rueckert, Eric Aboagye, Stuart A Taylor, Ben Glocker
Publikováno v:
Efficacy and Mechanism Evaluation, Vol 11, Iss 15 (2024)
Background Whole-body magnetic resonance imaging is accurate, efficient and cost-effective for cancer staging. Machine learning may support radiologists reading whole-body magnetic resonance imaging. Objectives To develop a machine-learning algorithm
Externí odkaz:
https://doaj.org/article/5a61b27803d3457d9c3dd18ad9686696
Autor:
K. M. Benzies, D. B. Nicholas, K. A. Hayden, T. Barnas, A. de Koning, A. Bharwani, J. Armstrong, J. Day
Publikováno v:
Humanities & Social Sciences Communications, Vol 11, Iss 1, Pp 1-11 (2024)
Abstract Education, research, and contribution to society through innovation are the three missions of post-secondary educational institutions. There is a gap in understanding the concept of social innovation for post-second educational institutions.
Externí odkaz:
https://doaj.org/article/5b16859bc9e94e51a93411f5cf7f2154
Autor:
Xingfeng Li, Diana Marcus, James Russell, Eric O. Aboagye, Laura Burney Ellis, Alexander Sheeka, Won-Ho Edward Park, Nishat Bharwani, Sadaf Ghaem-Maghami, Andrea G. Rockall
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Semiparametric survival analysis such as the Cox proportional hazards (CPH) regression model is commonly employed in endometrial cancer (EC) study. Although this method does not need to know the baseline hazard function, it cannot
Externí odkaz:
https://doaj.org/article/39251c2fc9734004a1a50300e0699fda
Autor:
S. Bharwani, Å. Gerger Swartling, K. André, T.F. Santos Santos, A. Salamanca, N. Biskupska, T. Takama, L. Järnberg, A. Liu
Publikováno v:
Climate Services, Vol 35, Iss , Pp 100503- (2024)
This study tests, empirically validates and refines the Tandem framework for co-designing climate services(Daniels et al., 2019; 2020), to enhance its applicability and effectiveness. Intended as an inspirational guide for ‘good practice’, Tandem
Externí odkaz:
https://doaj.org/article/70ab5aa0fc3d4c9ca61ef83eabf6bbc2
Autor:
Obi, Koyenum, Bharwani, Sahil, Catalfamo, Vince, Duran, Antonio, Baldawi, Harith, Gillies, Connor, Anand, Senthil, Wever-Pinzon, James, Eiswirth, Clement, Desai, Sapna, Krim, Selim
Publikováno v:
In Current Problems in Cardiology February 2025 50(2)
Autor:
Parviainen, Janne, Hochrainer-Stigler, Stefan, Cumiskey, Lydia, Bharwani, Sukaina, Schweizer, Pia-Johanna, Hofbauer, Benjamin, Cubie, Dug
Publikováno v:
In International Journal of Disaster Risk Reduction January 2025 116
Autor:
Jennifer F. Barcroft, Kristofer Linton-Reid, Chiara Landolfo, Maya Al-Memar, Nina Parker, Chris Kyriacou, Maria Munaretto, Martina Fantauzzi, Nina Cooper, Joseph Yazbek, Nishat Bharwani, Sa Ra Lee, Ju Hee Kim, Dirk Timmerman, Joram Posma, Luca Savelli, Srdjan Saso, Eric O. Aboagye, Tom Bourne
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-10 (2024)
Abstract Ultrasound-based models exist to support the classification of adnexal masses but are subjective and rely upon ultrasound expertise. We aimed to develop an end-to-end machine learning (ML) model capable of automating the classification of ad
Externí odkaz:
https://doaj.org/article/92b75ac45e804737b72f77c54a6be285
Autor:
Bharwani, S., Gerger Swartling, Å., André, K., Santos Santos, T.F., Salamanca, A., Biskupska, N., Takama, T., Järnberg, L., Liu, A.
Publikováno v:
In Climate Services August 2024 35