Science, Space and Technology News 2024
Researchers at the University of Copenhagen have developed a machine learning algorithm that allows for real-time tracking of protein clumps under the microscope, a breakthrough in studying neurodegenerative diseases like Alzheimer’s and Parkinson’s. The algorithm automates the mapping and tracking of these clumps, which was previously a time-consuming task, potentially accelerating the development of new therapies for these conditions. Credit: SciTechDaily.comand dementia.
The researchers’ machine learning algorithm can spot protein clumps down to a billionth of a meter in microscopy images. At the same time, the algorithm can count and then group clumps according to their shapes and sizes, all while tracking their development over time. The appearance of clumps can have a major impact on their function and how they behave in the body, for better or worse.
“We see this undesirable clumping in insulin molecules as well. Our new tool can let us see how these clumps are affected by whatever compounds we add. In this way, the model can help us work towards understanding how to potentially stop or transform them into less dangerous or more stable clumps,” explains Jacob Kæstel-Hansen.
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