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Moffitt researchers develop algorithm to predict cancer cell evolution
Researchers at Moffitt Cancer Center have developed a new tool to predict how cancer cells evolve. By focusing on chromosome ...
In a recent study published in Nature Methods, researchers assessed a novel method for bacterial cell segmentation named Omnipose. Breakthroughs in microscopy are extremely promising for enabling ...
Researchers at Karolinska Institutet and KTH have developed a computational method that can reveal how cells change and specialize in the body. The study, which has been published in the journal PNAS, ...
Choosing the right cell line is a critical part of biopharmaceutical process development. Getting it wrong can delay scaleup and hurt a drug’s commercial potential. The key to success is full ...
Cell growth seems like a simple concept, but scientists still have a lot to discover about this mechanism. Now, researchers have developed a machine learning algorithm to predict the size that an ...
Impact of neoadjuvant immune checkpoint inhibitor therapy on primary tumor size and complexity: Correlation with surgical quality and short term oncological outcomes. This is an ASCO Meeting Abstract ...
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