Snakebite is the most deadly neglected tropical disease (NTD), being responsible for a dramatic humanitarian crisis in global health. Snakebite causes over 100,000 human deaths and 400,000 victims of disability and disfigurement globally every year. Antivenoms can be life‐saving when correctly administered but this often depends on the correct taxonomic identification (i.e. family, genus, species) of the biting snake.
Can deep learning provide these rural communities in developing countries with a solution?
This talk will focus on lessons learned from AIcrowd Ai4Good competition "Snake Species Identification Challenge" and provide a step-by-step guide for beginners who wish to get started in the fascinating universe of data science competitions.
Gloria Macia is a data scientist at F. Hoffmann-La Roche AG, where she passionately strives to bring AI-powered solutions to one of the most highly regulated industries worldwide. Prior to Roche, she was part of the quality and clinical affairs management team at Sonova Holding AG