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AI Tool Forecasts Cancer Therapy Outcomes Via Cell Data

AI Tool Forecasts Cancer Therapy Outcomes Via Cell Data
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AI tool predicts responses to cancer therapy

AI tool predicts responses to cancer therapy
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AI tool predicts responses to cancer therapy using information from each cell of the tumor

With more than 200 types of cancer and every cancer individually unique, ongoing efforts to develop precision oncology treatments remain daunting. In a new stud

AI tool predicts responses to cancer therapy using information from each cell of the tumor

With more than 200 types of cancer and every cancer individually unique, ongoing efforts to develop precision oncology treatments remain daunting. In a new stud

Back to the future: Weizmann Institute scient

<p>In a new study published today in <em>Cell</em>, researchers from Prof. Ido Amit&#39;s lab at the Weizmann Institute of Science have managed for the first time to develop a method for tracking and measuring changes over time on in single cells inside the body. The method, called Zman-seq (from the Hebrew word <em>zman</em>, for &ldquo;time&rdquo;), consists of labeling cells with different time stamps and tracking them in healthy or pathological tissue. Using this cellular time machine, researchers can get to know the cells&rsquo; history and how long each cell had stayed in the tissue, ultimately achieving an understanding of the molecular and cellular temporal changes that had taken place within that tissue.</p>

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