ascopubs.org

Annotations-free survival prediction with WSIs using graph convolutional neural networks.

Treatment patterns of metastatic urothelial cancer in the United States. Prediction of immune checkpoint inhibitor (ICI) response in patients with urothelial cancer (UC) by a novel RNA-based ICI ...
EurekAlert!

AI analyzes brainwaves to unlock movement in spinal cord injury cases

This paper proposes a deep learning framework F-GCN that integrates multiple wavelet bases, and extracts MI brain electrical ...
Embedded

Understanding convolutional neural networks

The world of artificial intelligence (AI) is rapidly evolving, and AI is increasingly enabling applications that were previously unattainable or very difficult to implement. A subsequent article, ...
ascopubs.org

Tissue of origin detection for cancer tumor using low-depth cfDNA samples through combination of tumor-specific methylation atlas and genome-wide methylation density in graph ...

Validation of a chemotherapy toxicity prediction model in older adults with cancer in Taiwan. This is an ASCO Meeting Abstract from the ASCO Breakthrough: A Global Summit for Oncology Innovators. This ...
pv magazine International

Ultra-short-term PV forecasting based on convolutional neural network, long short-term memory

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory, attention ...
JSTOR Daily

Application of a new one-dimensional deep convolutional neural network for intelligent fault diagnosis of rolling bearings

As one of the key parts of rotary machine, the fault diagnosis and running condition monitoring of rolling bearings are of great importance for normal working and safe production of rotary machine.