Predicting Cancer Behavior Requires Better Understanding of Tumor Cells

Our ability to predict who will get cancer, how patients will respond to treatment, or if patients will relapse is still quite limited, despite advances in the detection of genetic mutations and the establishment of risk factors; recently researchers were inspired to find new ways of looking at the problem. In Biomicrofluidics, they report that using cellular mechanophenotyping, along with traditional methods such as immunostaining and genetic analysis, may provide a more comprehensive view of a tumor.

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Robot Uses Artificial Intelligence and Imaging to Draw Blood

Rutgers engineers have created a tabletop device that combines a robot, artificial intelligence and near-infrared and ultrasound imaging to draw blood or insert catheters to deliver fluids and drugs. Their research results, published in the journal Nature Machine Intelligence, suggest that autonomous systems like the image-guided robotic device could outperform people on some complex medical tasks.

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