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Biomaterials are revolutionizing organoid development by offering tunable platforms that provide instructive cues, which enhance cell fate transitions, tissue-level functions and reproducibility.

2. Pathology: In pathology, AI is being used to analyze tissue samples and identify cancerous cells. Machine learning models can examine slides with remarkable detail, providing faster and more ...

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Cell adhesion is the process by which cells form contacts with each other or with their substratum through specialized protein complexes. Intercellular adhesion can be mediated by adherens ...

Most of us have been there - you've spent a little too much money on a claw machine so you can bag yourself that adorable toy - but the claw just keeps dropping it. Spending an afternoon at the ...

Dr. Bell described it as a “bottleneck” in pathology research due to its time-consuming nature. A machine learning model can predict lymphocyte cells with high accuracy, shown in the blue and green ...

By utilizing diverse datasets and employing various machine learning methods for clustering, diagnostic models for PRAD were developed and validated. The random forest algorithm pinpointed HSPE1 as ...

Therefore, we aimed to develop an interpretable machine learning (Machine learning)–based model ... Similar to the commonly used prognostic scores in T-cell lymphoma, including International ...

For years, Amanda Smith and her husband were jolted awake at night by a buzz-buzz-beep — an alarm warning that her blood sugar was too high or too low. She would reach for juice boxes stored in ...

Aug 23 (Reuters) - A federal judge has dismissed charges against a Kansas man for possessing a machine gun, saying prosecutors failed to establish that a federal ban on owning such weapons is ...