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Deep Neural Network for DrawiNg Networks, $${(DNN)^{\textit{2}\,}} $$

2021
Loann Giovannangeli   +4 more
openaire   +1 more source

Deep neural network (DNN) modelling for prediction of the mode of delivery

European Journal of Obstetrics & Gynecology and Reproductive Biology
One of the factors that worry obstetricians the most is the method of delivery. In recent years, the rate of caesarean sections has steadily climbed and now exceeds the threshold advised by medical organizations. Obstetricians typically lack the tools they need to assess whether vaginal delivery or a caesarean delivery is more appropriate. In this work,
Ananya, Kuanar   +3 more
openaire   +2 more sources

Advances of deep Neural Networks (DNNs) in the development of peptide drugs

Future Medicinal Chemistry
Peptides are able to bind to difficult disease targets with high potency and specificity, providing great opportunities to meet unmet medical requirements. Nevertheless, the unique features of peptides, such as their small size, high structural flexibility, and scarce data availability, bring extra challenges to the design process. Firstly, this review
Yuzhen Niu, Pingyang Qin, Ping Lin
openaire   +2 more sources

A Deep Neural Network (DNN) Approach for Recommendation Systems

2022
Shashi Shekhar   +2 more
openaire   +1 more source

Deep Eutectic Solvents: A Review of Fundamentals and Applications

Chemical Reviews, 2021
Brian Chen, Yong Zhang, Jeffrey M Klein
exaly  

Soft wearable devices for deep-tissue sensing

Nature Reviews Materials, 2022
Muyang Lin, Hongjie Hu, Sai Zhou
exaly  

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