Explore cellular migration mechanisms driving cancer invasion and metastasis, key targets for therapy and cancer research advancements.
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Evaluating AI and machine learning models in cheminformatics: benchmarking techniques and case studies
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AI-powered microscope predicts and tracks protein aggregation linked to brain diseases
The accumulation of misfolded proteins in the brain is central to the progression of neurodegenerative diseases like Huntington’s, Alzheimer’s and Parkinson’s. But to the human eye, proteins that are destined to form harmful aggregates don’t look any different than normal proteins.
The formation of such aggregates also tends to happen randomly and relatively rapidly—on the scale of minutes. The ability to identify and characterize protein aggregates is essential for understanding and fighting neurodegenerative diseases.
Now, using deep learning, EPFL researchers have developed a ‘self-driving’ imaging system that leverages multiple microscopy methods to track and analyze protein aggregation in real time—and even anticipate it before it begins. In addition to maximizing imaging efficiency, the approach minimizes the use of fluorescent labels, which can alter the biophysical properties of cell samples and impede accurate analysis.
Cancer cells go up in flames—thanks to this deep-sea sugar
Scientists have discovered a sugar compound from deep-sea bacteria that can destroy cancer cells in a dramatic way. This natural substance, produced by microbes living in the ocean, causes cancer cells to undergo a fiery form of cell death, essentially making them self-destruct. In lab tests and in mice with liver cancer, the compound not only stopped tumors from growing, but also activated the immune system to fight back. This finding could pave the way for entirely new cancer treatments based on sugars from marine organisms.
