Daily Digest March 22, 2019 – BioDecoded

The conventional model of oncogenic RAS-MAPK pathway signaling in cancer suggests that mutations in the pathway render downstream signaling largely independent of regulation (autonomous). However, the emerging model of a semiautonomous state through which pathological RAS signaling remains under some control suggests a potential therapeutic opportunity to target upstream regulators, such as SHP2, SOS, and GRB2. Mass spectrometry is a predominant experimental technique in metabolomics and related fields, but metabolite structural elucidation remains highly challenging. Researchers report SIRIUS 4 (https://bio.informatik.uni-jena.de/sirius/), Amazon SageMaker is an end-to-end machine learning platform that enables users to prepare training data and build machine learning models quickly using pre-built Jupyter notebook with pre-built algorithms. In this blog post, the authors use Amazon Rekognition to extract text from the images and Amazon Comprehend Medical to help them to identify and detect the Protected Health Information (PHI).