Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

This repository contains various machine learning implementations and examples ranging from classic reinforcement learning (Q-Learning) to advanced deep learning techniques (CNN, LSTM, GAN, GNN). Each ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

ALLEN PARK, Mich. – A worker at a postal service facility in Allen Park was found dead after his body was stuck in a machine for several hours, officials said. Here’s what we know about this story so ...

Hyperparameter tuning is critical to the success of cross-device federated learning applications. Unfortunately, federated networks face issues of scale, heterogeneity, and privacy; addressing these ...

Start a Ray head node Connect and start Ray worker nodes via SSH Activate virtual environments and configure PYTHONPATH on all nodes 📌 Before running the script, ensure passwordless SSH access from ...

ABSTRACT: This study presents a comprehensive and interpretable machine learning pipeline for predicting treatment resistance in psychiatric disorders using synthetically generated, multimodal data.

1 Department of Environmental Sciences, Jahangirnagar University, Dhaka, Bangladesh 2 Division of Translational Cancer Research, Department of Laboratory Medicine, Lund University, Lund, Sweden ...

Abstract: Sudden cardiac death is a serious global health issue and a leading cause of death in many countries. Diagnosis and predicting the risk of this disease are crucial in reducing mortality ...