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Automated machine learning tool scans social media to detect health product risks

A new artificial intelligence tool can scan social media data to discover adverse events associated with consumer health ...

AI model automates detection of developmental abnormalities in zebrafish embryos

CISPA researcher Sarath Sivaprasad, together with Hui-Po Wang and Mario Fritz from CISPA and other colleagues from HIPS, has ...
Neuroscience News

Mini Brains Expose Neural Signatures of Schizophrenia and Bipolar

For the first time, lab-grown mini brains have revealed how neurons misfire in schizophrenia and bipolar disorder.
IEEE

Dark Patterns Detection and Classification Using Machine Learning Techniques

Abstract: UX design shapes the interaction with a digital platform. Most practices., while attempting to increase user satisfaction., can actually deceive users using so-called dark patterns in order ...
Frontiers

Decoding the association between health level and human settlements environment: a machine learning-driven provincial analysis in China

Background: Rapid urbanization in China has significantly reshaped the human settlement environment (HSE), bringing opportunities and challenges for public health. While existing studies have explored ...
IEEE

An Interpretable Ensemble Fuzzy Classifier for Smartphone Sensor-Based Human Activity Classification

Abstract: Smartphone sensor-based human activity recognition (SSHAR) generally deals with three main steps: 1) raw signal collection; 2) feature extraction; and 3) human activity classification. This ...
Nature

Machine-learning model generates images using light

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...