cancer

Real-time Radiofrequency Ablation Lesion Depth Estimation Using Multi-Frequency Impedance with a Deep Neural Network and Tree-based Ensemble

Author(s): Emre Besler, Y. Curtis Wang, Alan V. Sahakian
Real-time Radiofrequency Ablation Lesion Depth Estimation Using Multi-Frequency Impedance with a Deep Neural Network and Tree-based Ensemble 170 177 IEEE Transactions on Biomedical Engineering (TBME)
A combination of different machine learning algorithms and a hardware setup that consists of an embedded system and a 3D-printed electrode device is used to monitor the progress of radiofrequency ablation depth on a perfused breast tissue model. The device at the center of the tissue model both applied the alternating current and collected the tissue impedance data at multiple frequencies, which is fed into tree-based ensemble (TE) models and a deep neural network (DNN). Their predictions showed a mean difference against physical measurements of 0.5 mm for the DNN and 0.7 mm for the TEs. read more
Aggregation Effects and Population-Based Dynamics as a Source of Therapy Resistance in Cancer

Aggregation Effects and Population-Based Dynamics as a Source of Therapy Resistance in Cancer

Author(s): Joel S. Brown, Jessica J. Cunningham, Robert A. Gatenby
Aggregation Effects and Population-Based Dynamics as a Source of Therapy Resistance in Cancer 170 177 IEEE Transactions on Biomedical Engineering (TBME)

A flock of starlings responding to the approach of a peregrine illustrates how interactions of an individual with other members of a group may provide advantages against an external threat.…

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