AI for early detection of Breast Cancer

Neura Health Inc is a team of practicing doctors, software engineers and data scientists working on building innovative AI products for Healthcare Medical Imaging Industry particularly for cancer detection using deep learning Neural Network techniques. Our goal is to build innovative AI products using latest IT tools available and augment Medical Professionals, Clinicians and Radiologists with AI capability to increase their productivity and reduce time and cost for the patients. The AI models are built using publicly available Imaging datasets curated and annotated by world renowned Radiology experts. Our first AI model is called NeuraDetect and is used to detect breast mass density in Mammography Images. Our products seamlessly integrate with the existing clinical workflow and leverages client's DICOM router for transmission of Medical Images from different modalities. Other Technologies being used are Google Cloud Platform's Healthcare DICOMWeb APIs, Google's AutoML for model training and AI Inference engine running on Kubernetes cluster.
Who is this presentation for?
all conference attendees
Prerequisite knowledge:
Basic understanding of big data, machine learning and medical imaging.
What you'll learn?

At Neura Health, I am responsible for building data and ML pipeline for NeuraDetect and making strategic decisions around product development, hiring, operations, pitching Neura Health, investor fund raising, Compliance and Regulatory. Before, I was at IQVIA as an Associate Director, Ada Machine Learning Product Development team. I was responsible for building the data layer for IQVIA’s Ada Machine Learning Platform. I collaborated with a team of data scientists, pharma domain experts and software engineers to build the AI product and saw it go live through multiple releases. Prior to that, I led a team at Capital One to transform and migrate Direct Bank’s data warehouse to AWS cloud. I have extensive experience working with data, cloud and machine learning tools.