Using information generated by AI, researchers developed a novel anti-toxoplasmosis drug.
Researchers developed a new GPU-based machine learning algorithm to help predict the connectivity of networks within the brain.
New software can perform computerized image editing using only input from electrical activity in the human brain.
A neuroimaging-based machine learning algorithm can detect Alzheimer's in the brain with 98% accuracy. The system is also 79% accurate at determining which stage of Alzheimer's disease a patient has.
Machine learning algorithms help researchers identify speech patterns in children on the autism spectrum that are consistent between different languages.
Artificial intelligence can understand complex words and concepts by representing the meaning of words in a similar way that correlates with human judgments.
Artificial intelligence helps shed new light on why many with autism have a difficult time when it comes to processing emotions via facial expressions.
A new artificial intelligence algorithm trained using the soundscapes of both healthy and degraded reefs can determine reef health 92% of the time.
Different symptoms of ASD can affect different brain regions and neuroanatomy. AI technology allowed researchers to detect brain differences on an individual level in those with ASD.
Study evaluates whether problems in facial processing and recognition in Alzheimer's disease are a result of memory impairment or visual processing deficits.
Using AI to analyze language associated with depression on social media during the first wave of the COVID-19 pandemic, researchers found people were more resilient than previously thought.
Before the 48-week mark of life, it is easier for an AI algorithm to determine the exact age of a baby, but not its gender based on temperament data. After 48 weeks, gender classification improved for all algorithms, suggesting gender differences in infancy become more accentuated at this point in life.
