In recent years, machine learning techniques have accelerated and innovated research in numerous fields, including neuroscience. By identifying patterns in experimental data, these models could for instance predict the neural ...
Artificial intelligence (AI) tools have achieved promising results on numerous tasks and could soon assist professionals in various settings. In recent years, computer scientists have been exploring the potential of these ...
Cinnamon, the well-known aromatic spice that many of us use to bake cakes and cook savory dishes, is derived from the inner bark of Cinnamomum trees. These are evergreen trees found in the Himalayas and other mountain areas, ...
Digital stethoscopes provide better results compared to conventional methods to record and visualize modern auscultation. Current stethoscopes are bulky, non-conformal, and not suited for remote use, while motion artifacts ...
In recent years, a growing number of computer scientists have tried to develop computational methods inspired by the structure, function and plasticity of neural circuits in the human brain. Achieving a comprehensive understanding ...
Researchers at the University of Zurich's Brain Research Institute have recently developed a technique to automatically detect neurons of different types in a variety of brain regions at different developmental stages. They ...
To what extent are exceptional human achievements influenced by genetic factors? This question, dating back to the early days of human genetics, seems to be easier to address today as modern molecular methods make it possible ...
Mar 26, 2024
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UC San Francisco scientists have found a way to predict Alzheimer's disease up to seven years before symptoms appear by analyzing patient records with machine learning.
Feb 21, 2024
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Surveys and statistics suggest that mental illnesses are becoming increasingly widespread, as the number of people worldwide accessing mental health services has increased in recent years. Understanding the factors that can ...
Researchers at the University of Oxford, U.K., have discovered how the rate of exposure time to someone with COVID-19 contact relates to infection risk. They found that the duration of exposure to individuals with COVID-19 ...
