2 articles published in JoVE
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model Stephan Ellmann1, Lisa Seyler1, Clarissa Gillmann2, Vanessa Popp1, Christoph Treutlein1, Aline Bozec3, Michael Uder1, Tobias Bäuerle1 1Department of Radiology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, 2Department of Medical Physics in Radiation Oncology, German Cancer Research Center, 3Department of Internal Medicine 3, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg This protocol was designed to train a machine learning algorithm to use a combination of imaging parameters derived from magnetic resonance imaging (MRI) and positron emission tomography/computed tomography (PET/CT) in a rat model of breast cancer bone metastases to detect early metastatic disease and predict subsequent progression to macrometastases.
Isolation of Human Ventricular Cardiomyocytes from Vibratome-Cut Myocardial Slices Dominik J. Fiegle1, Tilmann Volk1,2, Thomas Seidel1,2 1Institute of Cellular and Molecular Physiology, Friedrich-Alexander University Erlangen-Nürnberg, 2Muscle Research Center Erlangen (MURCE), Friedrich-Alexander-Universität Erlangen-Nürnberg Presented is a protocol for the isolation of human and animal ventricular cardiomyocytes from vibratome-cut myocardial slices. High yields of calcium-tolerant cells (up to 200 cells/mg) can be obtained from small amounts of tissue (<50 mg). The protocol is applicable to myocardium exposed to cold ischemia for up to 36 h.