Recent studies have found significant biases in artificial intelligence algorithms. Researchers are raising their concerns about AI biases associated with medical devices and algorithms used to analyze health risks. If left unchecked, they say, the technologies could continue to perpetuate sex, gender, and race biases that could exacerbate health care disparities.
Using big data, researchers have developed a new computer algorithm capable of analyzing genetic and pharmacological information to suggest new treatment options for neuroblastoma.
Researchers report NBA players who are more skilled than their peers early in their careers remain more skilled as they age. Additionally, they have a slower decline in their performance after the peak of their careers.
A new study of twins in the US sheds light on both the environmental and genetic risk factors for numerous diseases.
A decade worth of data reveals people who multitask with different forms of media at once are worse at completing simple memory tasks.
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A new machine learning algorithm is able to automatically able to distinguish between different patterns of progression in patients with a range of different dementias. The algorithm could enable to identify which treatments are most suited to individual patients.
A new, comprehensive data analysis study challenges existing paradigms in psychology relating to personality types. Researchers report there appear to be four major clusters of personality types.
CRAFT, a new computational framework designed to aid in drug discovery, has helped researchers identify a potential new target for the treatment of epilepsy.
Researchers are using big data and artificial intelligence to map neural networks in the brain. The new technology could help to better understand the progression of neurodegenerative diseases.