Combining Image & Genome based ML techniques for better Oncology related analysis

Combining Image & Genome based ML techniques for better Oncology related analysis Early and accurate detection of cancer is must for ensuring healthier life for our members. Usually, a biopsy is performed to examine tissue to diagnose cancer. While physician decision is the ultimate truth in this area, research has shown enough variability and subjectivity in biopsy analysis which leads to delays in treatment. An AI and ML based standardized mechanism that can objectively analyze the huge biopsy images and can assist the clinicians in decision making can create a big difference and seems to be the one stop solution. However, historically it has been seen that even machine learning solutions have limitations when used alone. We will present here a mechanism that not only enhances the AI&ML approach but also substantiates the evidence based (biopsy image analysis) system with circumstantial markers (genetic markers) using the two pronged approach. Both image and genomic features set are combined and fed into multiple layers of deep learning model, which provides better accuracy in predicting grades of cancer. With the advancements in the computing and deep learning capabilities and the ever- reducing costs of DNA sequencing, this could be a game changer. Come learn more about this fascinating technology!