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Deep Learning

·April 11, 2020·1 min read

AI app can detect coronavirus from sound of cough

Researchers have developed a new app that uses artificial intelligence technology to determine whether a person has COVID-19 based on the sound of their cough. The app has a 70% accuracy rate.

Featured Neuroscience

·April 8, 2020·3 min read

Could a smartwatch identify an infection before you start spreading it?

A medical wrist device detected disrupted sleep patterns 24 hours before participants started shedding the flu virus. While the initial study was focused on influenza, researchers speculate the device could be sufficient at spotting the beginning of other infections, including COVID-19. While it should not be considered a full diagnostic device, the wristband data will be useful to guide when people should self isolate as a precaution.

This shows three different facial expression of the mice

Featured Neuroscience Psychology

·April 2, 2020·4 min read

Mice make different facial expressions based on emotion

Mouse show different facial expression depending on their emotional state. Using machine learning, researchers were able to link five different emotional states to the facial expressions of mice.

This shows covid19 on a computer monitor

Featured Neuroscience

·March 30, 2020·4 min read

Experimental AI tool predicts which COVID-19 patients develop respiratory disease

AI model determined three key features that accurately predict subsequent, severe disease in COVID-19 patients. The three features were levels of the liver enzyme ALT, reported myalgia, and hemoglobin levels. Based on these three factors, the AI was able to determine ARDS risk with 80% accuracy.

Brain Cancer Featured Neurology Neuroscience

·March 27, 2020·3 min read

Machine learning helps doctors diagnose severity of brain tumors

A new machine learning algorithm can predict which tumors were lower-grade gliomas or glioblastoma brain cancer with a high degree of accuracy.

Featured Neuroscience Open Neuroscience Articles

·March 26, 2020·5 min read

Artificial Intelligence for Very Young Brains

Deep convolutional neural networks were used to help process neonatal brain image data. Modified LiviaNET and HyperDense-Net deep learning neural networks are discussed.

This shows the FluSense device components

Featured Neuroscience

·March 19, 2020·4 min read

Portable AI device turns coughing sounds into health data for flu and pandemic forecasting

Researchers have developed a portable surveillance device that uses machine learning to detect coughing and crowd size in real-time. The system can use the data to directly monitor flu-like illnesses, community trends, and virus spread potential. The system could help monitor the spread of infection and provide a public health response during an epidemic.

Featured Neuroscience

·March 12, 2020·4 min read

Using machine learning to analyze whole brain vasculature

Combining advance microscopy techniques and artificial intelligence, researchers reconstruct the entire vascular network of a mouse brain down to its finest details.

Featured Neuroscience Open Neuroscience Articles

·March 11, 2020·4 min read

A delicate dance of dynamic changes in the conscious brain

The brain quickly transitions from one network to another in regular patterns. The transition trajectories constitute a temporal circuit where the conscious brain cycles through a structured pattern of states over time.

This shows the process from real face image to computer generated face

Featured Neuroscience Open Neuroscience Articles Visual Neuroscience

·March 5, 2020·7 min read

A new model of vision

A new computer model captures the human visual system's ability to quickly generate a detailed scene description from an image.

Featured Neuroscience Psychology

·March 1, 2020·6 min read

Second Type of Schizophrenia Discovered

Combining neuroimaging data with artificial intelligence, researchers have identified two distinct neuroanatomical subtypes of schizophrenia. The first, more typical subtype is associated with a lower widespread volume of gray matter compared to healthy controls. In the second subtype, gray matter volume is largely similar to healthy brains.

Featured Neuroscience Open Neuroscience Articles

·February 27, 2020·5 min read

Learning difficulties due to poor connectivity, not specific brain regions

Combining neuroimaging data with machine learning technology, researchers discover children with well-connected brain hubs have either very specific cognitive problems, such as poor listening skills, or no cognitive difficulties at all. Children with poorly connected hubs have widespread and severe cognitive difficulties.

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Deep Learning

AI app can detect coronavirus from sound of cough

Could a smartwatch identify an infection before you start spreading it?

Mice make different facial expressions based on emotion

Experimental AI tool predicts which COVID-19 patients develop respiratory disease

Machine learning helps doctors diagnose severity of brain tumors

Artificial Intelligence for Very Young Brains

Portable AI device turns coughing sounds into health data for flu and pandemic forecasting

Using machine learning to analyze whole brain vasculature

A delicate dance of dynamic changes in the conscious brain

A new model of vision

Second Type of Schizophrenia Discovered

Learning difficulties due to poor connectivity, not specific brain regions

Why Human Body Size Leaped 2 Million Years Ago

Accelerated Biological Aging Drives Early-Onset Cancer Risk

Infant Screen Exposure Linked to Lower Future Working Memory

Network Mapping Uncovers 641 Hidden Schizophrenia Risk Genes

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