AI Driven System Boosts Scale, Speed Rates of Cellular Imaging

 

Chromosomal abnormalities that occur during cell division can affect the cell’s health, in some cases causing a normal cell to become cancerous. The role of these aberrations in the progression of cancer, and the baseline rate at which they occur, remain poorly understood.

To investigate the origins of chromosomal instability, researchers from the European Molecular Biology Laboratory (EMBL) created an autonomous platform to examine the cellular context, mutation rates, and triggers leading to the spontaneous formation of chromosomal abnormalities. The researchers tested the platform on cell line models that mimicked the early stages in tumor evolution.

This tool, assisted by artificial intelligence (AI), could provide valuable insight into the molecular origins of cancer, laying the groundwork for new approaches to genetic research and potential strategies for preventing cancer.

“Chromosomal abnormalities are a main driver for particularly aggressive cancers, and they’re highly linked to patient death, metastasis, recurrence, chemotherapy resistance, and fast tumor onset,” researcher Jan Korbel said. “We wanted to understand what determines the likelihood that cells undergo such chromosomal alterations, and what’s the rate at which such abnormalities arise when a still normal cell divides.”

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