Adam Abiri

Project Personnel, University of California, Los Angeles

1 active project

Cancer

We want figure out if we can optimize the existing medical recording as powerful tool for early diagnose of cancer and best treatment option based on the diagnosis time.

Scientific Questions Being Studied

We want figure out if we can optimize the existing medical recording as powerful tool for early diagnose of cancer and best treatment option based on the diagnosis time.

Project Purpose(s)

  • Disease Focused Research (Thyroid cancer )

Scientific Approaches

Using Machine Learning algorithms, supervised neural networks to predict the best treatment model. Within the existing machine learning models, we are using an artificial neural network to recognize the pattern and train it to learn from supervised training data and outputs to make predictions.

Anticipated Findings

Optimization of treatment options for different stage of cancer diagnosis.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

  • Adam Abiri - Project Personnel, University of California, Los Angeles
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