Study results may lead to improved diagnostics for breast cancer

A study in Molecular Oncology indicates that examining the protein and RNA in leftover materials from routine diagnostic tests for breast cancer may lead to more accurate diagnoses. Using samples from fine needle aspiration from 25 patients with breast cancer and 33 patients with benign lesions, investigators found that such a strategy could distinguish all cancer patient samples from all […]

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Diagnostics of genetic cardiac diseases using stem cell-derived cardiomyocytes

A new study by Professors Martti Juhola and Katriina Aalto-Setälä of the University of Tampere in Finland demonstrates that with the use of artificial intelligence and machine learning, it is possible not only to accurately sort sick cardiac cell cultures from healthy ones, but also to differentiate between genetic cardiac diseases. iPSC-derived cardiomyocytes can be derived from a blood sample […]

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