![Prediction of Breast Cancer Recurrence Using a Deep Convolutional Neural Network Without Region-of-Interest Labeling - Frontiers Prediction of Breast Cancer Recurrence Using a Deep Convolutional Neural Network Without Region-of-Interest Labeling - Frontiers](https://www.frontiersin.org/files/MyHome%20Article%20Library/734015/734015_Thumb_400.jpg)
Prediction of Breast Cancer Recurrence Using a Deep Convolutional Neural Network Without Region-of-Interest Labeling - Frontiers
![Frontiers | DESP: Deep Enhanced Sampling of Proteins' Conformation Spaces Using AI-Inspired Biasing Forces Frontiers | DESP: Deep Enhanced Sampling of Proteins' Conformation Spaces Using AI-Inspired Biasing Forces](https://www.frontiersin.org/files/Articles/587151/fmolb-08-587151-HTML/image_m/fmolb-08-587151-g001.jpg)
Frontiers | DESP: Deep Enhanced Sampling of Proteins' Conformation Spaces Using AI-Inspired Biasing Forces
![A computational method for prioritizing targeted therapies in precision oncology: performance analysis in the SHIVA01 trial | npj Precision Oncology A computational method for prioritizing targeted therapies in precision oncology: performance analysis in the SHIVA01 trial | npj Precision Oncology](https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fs41698-021-00191-2/MediaObjects/41698_2021_191_Fig1_HTML.png)
A computational method for prioritizing targeted therapies in precision oncology: performance analysis in the SHIVA01 trial | npj Precision Oncology
![Artificial intelligence guided conformational mining of intrinsically disordered proteins | Communications Biology Artificial intelligence guided conformational mining of intrinsically disordered proteins | Communications Biology](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs42003-022-03562-y/MediaObjects/42003_2022_3562_Fig1_HTML.png)
Artificial intelligence guided conformational mining of intrinsically disordered proteins | Communications Biology
![Accelerating Chemical Discovery with Machine Learning: Simulated Evolution of Spin Crossover Complexes with an Artificial Neural Network | The Journal of Physical Chemistry Letters Accelerating Chemical Discovery with Machine Learning: Simulated Evolution of Spin Crossover Complexes with an Artificial Neural Network | The Journal of Physical Chemistry Letters](https://pubs.acs.org/cms/10.1021/acs.jpclett.8b00170/asset/images/medium/jz-2018-00170z_0005.gif)
Accelerating Chemical Discovery with Machine Learning: Simulated Evolution of Spin Crossover Complexes with an Artificial Neural Network | The Journal of Physical Chemistry Letters
Implementing an Insect Brain Computational Circuit Using III–V Nanowire Components in a Single Shared Waveguide Optical Network | ACS Photonics
![PDF] Virtual Intelligence: A Systematic Review of the Development of Neural Networks in Brain Simulation Units PDF] Virtual Intelligence: A Systematic Review of the Development of Neural Networks in Brain Simulation Units](https://i1.rgstatic.net/publication/365429912_Virtual_Intelligence_A_Systematic_Review_of_the_Development_of_Neural_Networks_in_Brain_Simulation_Units/links/6375869e2f4bca7fd0686333/largepreview.png)
PDF] Virtual Intelligence: A Systematic Review of the Development of Neural Networks in Brain Simulation Units
![Brain Sciences | Free Full-Text | Virtual Intelligence: A Systematic Review of the Development of Neural Networks in Brain Simulation Units Brain Sciences | Free Full-Text | Virtual Intelligence: A Systematic Review of the Development of Neural Networks in Brain Simulation Units](https://www.mdpi.com/brainsci/brainsci-12-01552/article_deploy/html/images/brainsci-12-01552-ag.png)