Researchers from Rice University (TX, USA) have developed a new machine learning algorithm that interprets optical spectra of ...

This repository contains a MATLAB-based Machine Learning Software (MLS) offers advanced biomedical signal processing with an intuitive GUI for analyzing EEG, ECG, and EMG. Features include noise ...

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected. The new framework sheds light on how scientists could fuse strategies ...

The paper introduces a novel architecture tailored for data-scarce, nonlinear mechanical systems; a domain where conventional machine learning approaches fail. Unlike many previous methods, the model ...

providing the requisite data to train machine learning models. “Longer-term, we envision that the use of machine learning can be widely applied to potentiate the activities of genome-editing ...

More information: Jason Wu et al, Prediction of Adeno-Associated Virus Fitness with a Protein Language-Based Machine Learning Model, Human Gene Therapy (2025). DOI: 10.1089/hum.2024.227 Journal ...

The emergence of machine learning and high-content microscopy suggests potential to more comprehensively define CF activation beyond simply staining α-SMA. Here, we coupled Cell Painting 4 with a ...

Data science platform Kaggle is hosting a Wikipedia dataset that’s specifically optimized for machine learning applications. Data science platform Kaggle is hosting a Wikipedia dataset ...