medical (2)

10805742466?profile=RESIZE_400xArtificial intelligence (AI) can be trained to recognize whether a tissue image contains a tumor.  However, exactly how it makes its decision has remained a mystery until now.  A team from the Research Center for Protein Diagnostics (PRODI) at Ruhr-Universität Bochum is developing a new approach that will render an AI’s decision transparent and thus trustworthy. The researchers describe the approach in their journal Medical Image Analysis.[1] 

For the study, experts from the Ruhr-Universität’s S

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DNATools Inc. application dnaLIMS is a “state-of-the art web-based laboratory information management system used to track and manage (scientific DNA research)”.  It is commonly used by researchers in labs and universities around the world.  In 2017, multiple vulnerabilities were discovered in this software.  After the vendor was notified, their response indicates these vulnerabilities will not be fixed.  It has been confirmed that these vulnerabilities still exist in the software and attack