pattern recognition

#Internet of Medical Things

An on-chip printed 'electronic nose'

Researchers have designed an on-chip printed 'electronic nose' that serves as a proof of concept for low-cost and sensitive devices to be used in healthcare.

'Liquid' machine learning system adapts to changing conditions

A machine learning system learns on the job. By continuously adapting to new data inputs, this “liquid network” could aid decision-making in medical diagnosis.

Self-learning algorithms analyze imaging data

Artificial neural networks open up new possibilities in interpreting the time-consuming imaging ´data.

#artificial intelligence

Neural network learns when it should not be trusted

Researchers have developed a way for deep learning neural networks to rapidly estimate confidence levels in their output.

Assessing mental illnesses through digital phenotyping

Digital phenotyping and machine learning have emerged as promising tools for monitoring patients with psychosis spectrum illnesses.

AI signals a possible disease resurgence

Scientists have used machine learning to predict the reemergence of existing infectious diseases.

Wearable EEG detects epileptic seizures

A consortium is developing a mobile neurosensing system suitable for everyday use that detects epileptic seizures automatically.

AI could help stem tide of school violence

Researchers developed an AI system that analyzes linguistic patterns to predict a youth’s risk for committing acts of school violence.

AI in healthcare – hype, hope and reality

Currently, we are too focused on the topic of AI. In order, however, to leverage AI technology several challenges have to be mastered and a proper framework has to be established.

How many gender subtypes exist in the brain?

New machine learning study suggest the presence of at least nine gender “expressions”.

AI finds disease-related genes

An artificial neural network can reveal patterns in huge amounts of gene expression data, and discover groups of disease-related genes.