Machine Learning/Artificial Intelligence

Automatic Prediction of Cancer Recurrence through Machine Learning

SUMMARY Deep learning tools are becoming increasingly popular for histologic analyses and have been used to predict tumor biomarker status, clinical variables, tumor subtypes, and mutation status in a variety of cancers. Accurate prediction of recurrence risk for post-operative cancer recurrence is of significant clinical interest as it can be… Read More

Model-Free Interferometry Enabled by Machine Learning

SUMMARY Burn injuries are among the most devastating of all injuries and are the fourth most common type of trauma worldwide.  In the United States, there are 1.1 million burn injuries which require medical attention each year.  These injuries often result in significant scarring having a negative impact on the… Read More

Bio-inspired Artificial Intelligence For Rapid Multi-Task Learning

SUMMARY Burn injuries are among the most devastating of all injuries and are the fourth most common type of trauma worldwide.  In the United States, there are 1.1 million burn injuries which require medical attention each year.  These injuries often result in significant scarring having a negative impact on the… Read More

Human Brain-Inspired Algorithm for Neural Network “Memory”

SUMMARY Catastrophic forgetting or interference is the inability of an artificial neural network (ANN) to learn multiple sequential tasks without a degradation in the accuracy of a previously learned task. When an ANN learns a new task, it disrupts connection weights that were important for solving a previous task. Current… Read More