eLife

CNN-based learning of single-cell transcriptomes reveals a blood-detectable multi-cancer signature of brain metastasis

This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...
Devdiscourse

Encrypted or not, your AI chats aren’t private

Modern LLMs typically return answers through a token-by-token streaming process, where each token is packaged into a separate ...
The Lancet

Therapeutic efficacy of Cyclosporine A in recurrent spontaneous abortion: a meta-analysis and network meta-analysis incorporating Chinese and English language studies

aLaboratory of Reproduction Immunology, Obstetrics and Gynecology Hospital, Fudan University Shanghai Medical College, Shanghai, 200032, China bShanghai Key Laboratory of Maternal Fetal Medicine, ...
IEEE

Feedforward Control for an Interventional X-Ray: A Parallel Physical Model and Neural Network Approach

Abstract: Hard-to-model, often nonlinear dynamics limit the tracking performance of physical-model-based feedforward control in medical interventional X-ray (IX) systems. In this article, these ...
IEEE

LSNN Model: A Lightweight Spiking Neural Network-Based Depression Classification Model for Wearable EEG Sensors

Abstract: Depression detection via wearable Electroencephalogram (EEG) sensor-assisted diagnosis system demands computationally efficient models compatible with resource-constrained edge devices.
Frontiers

Correction: Short-time photovoltaic output prediction method based on depthwise separable convolution Visual Geometry group- deep gate recurrent neural network

Clevert, D.-A., Untertiner, T., and Hochreiter, S. (2016). Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs). arXiv [Preprint]. Available ...