LungLife Scientist, Shahram Tahvilian, Explains the AI Technology Behind the LungLB® Test


Transcript:

Shahram: Hello, my name is Shahram Tahvilian, and I am a scientist here at LungLife AI. LungLB target cells are rare and microscopic in size. For example, about ten can fit across the thickness of a human hair. That's why at LungLife AI we use powerful microscopes to take high-resolution images in three dimensions. We then use AI, specifically machine learning, to develop an algorithm that reconstructs 3D images of each cell, so we can then more accurately classify them.

Our unique biomarkers include fish-based light signals that we apply to blood cells and count under the microscope. A healthy cell will have two light signals that represent two genes, one from each parent. On the other hand, an abnormal cell will have more than two light signals. It's these abnormal cells that are clinically significant in the early detection of lung cancer.

I have personally seen how devastating lung cancer can be. It has affected my family, as well as many others across the world. This is why I am so excited to be at LungLife AI, knowing that our work is leading to become a driving force in the early detection of lung cancer.

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