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AI Speeds Brain Drug Hunt

Algoritmos podem acelerar descobertas, mas a esperança ainda está nas mãos dos pacientes.

Scientists in Edinburgh are using AI to accelerate the search for treatments for neurological conditions by analyzing patient data and lab-grown brain cells. This could potentially find effective treatments much faster than decades of traditional research.


The UK Dementia Research Institute, led by Professor Siddarthan Chandran, is using machine learning algorithms to identify existing drugs that could be repurposed to treat motor neurone disease (MND) and other neurological conditions. Steven Barrett, a participant in the MND-SMART trial, sees these clinical trials as a 'bright light' of hope.


Drugs which have already been developed for other conditions are being tested on stem-cell-derived brain cells to identify potential treatments. The research is not unique; scientists at MIT and Harvard have also used AI to discover new drug compounds, but challenges remain in the field.


The work promises affordable, effective drugs for neurological conditions could come much sooner than expected. However, recent setbacks with Alzheimer's drugs highlight the complexity of the brain and potential limitations in this approach.

Original source:  https://www.bbc.com/news/articles/cdrp3zzzp71o?at_medium=RSS&at_campaign=rss
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