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Bladder cancer in the time of machine learning: Intelligent tools for diagnosis and management.
In Urologia
Gandi Carlo, Vaccarella Luigi, Bientinesi Riccardo, Racioppi Marco, Pierconti Francesco, Sacco Emilio
2021-Jan-05
Bladder cancer, artificial intelligence, deep learning, machine learning, neural network

Viscosity of Ionic Liquids: Application of the Eyring's Theory and a Committee Machine Intelligent System.
In Molecules (Basel, Switzerland)
Mousavi Seyed Pezhman, Atashrouz Saeid, Nait Amar Menad, Hemmati-Sarapardeh Abdolhossein, Mohaddespour Ahmad, Mosavi Amir
2020-Dec-31
CMIS modeling, Eyring’s theory, artificial intelligence, artificial neural networks, ionic liquids, machine intelligent system, machine learning, viscosity

How Resiliency and Hope Can Predict Stress of Covid-19 by Mediating Role of Spiritual Well-being Based on Machine Learning.
In Journal of religion and health
Nooripour Roghieh, Hosseinian Simin, Hussain Abir Jaafar, Annabestani Mohsen, Maadal Ameer, Radwin Laurel E, Hassani-Abharian Peyman, Pirkashani Nikzad Ghanbari, Khoshkonesh Abolghasem
2021-Jan-04
Covid-19, Hope, Machine learning, Resiliency, Spiritual well-being, Stress
The Artificial Intelligence in Digital Pathology and Digital Radiology: Where Are We?
In Healthcare (Basel, Switzerland)
Giansanti Daniele
2020-Dec-31

How do Covid-19 policy options depend on end-of-year holiday contacts in Mexico City Metropolitan Area? A Modeling Study.
In medRxiv : the preprint server for health sciences
Background :
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Research in context :
Alarid-Escudero Fernando, Gracia Valeria, Luviano Andrea, Peralta Yadira, Reitsma Marissa B, Claypool Anneke L, Salomon Joshua A, Studdert David M, Andrews Jason R, Goldhaber-Fiebert Jeremy D
2020-Dec-22
Biotypes of major depressive disorder: Neuroimaging evidence from resting-state default mode network patterns.
In NeuroImage. Clinical
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Liang Sugai, Deng Wei, Li Xiaojing, Greenshaw Andrew J, Wang Qiang, Li Mingli, Ma Xiaohong, Bai Tong-Jian, Bo Qi-Jing, Cao Jun, Chen Guan-Mao, Chen Wei, Cheng Chang, Cheng Yu-Qi, Cui Xi-Long, Duan Jia, Fang Yi-Ru, Gong Qi-Yong, Guo Wen-Bin, Hou Zheng-Hua, Hu Lan, Kuang Li, Li Feng, Li Kai-Ming, Liu Yan-Song, Liu Zhe-Ning, Long Yi-Cheng, Luo Qing-Hua, Meng Hua-Qing, Peng Dai-Hui, Qiu Hai-Tang, Qiu Jiang, Shen Yue-Di, Shi Yu-Shu, Si Tian-Mei, Wang Chuan-Yue, Wang Fei, Wang Kai, Wang Li, Wang Xiang, Wang Ying, Wu Xiao-Ping, Wu Xin-Ran, Xie Chun-Ming, Xie Guang-Rong, Xie Hai-Yan, Xie Peng, Xu Xiu-Feng, Yang Hong, Yang Jian, Yu Hua, Yao Jia-Shu, Yao Shu-Qiao, Yin Ying-Ying, Yuan Yong-Gui, Zang Yu-Feng, Zhang Ai-Xia, Zhang Hong, Zhang Ke-Rang, Zhang Zhi-Jun, Zhao Jing-Ping, Zhou Ru-Bai, Zhou Yi-Ting, Zou Chao-Jie, Zuo Xi-Nian, Yan Chao-Gan, Li Tao
2020
Biotypes, Default mode network, Machine learning, Major depressive disorder, Resting-state fMRI
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