Dampening oncogenic RAS signaling | Science
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.
SIRIUS 4: a rapid tool for turning tandem mass spectra into metabolite structure information | Nature Methods
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/), which provides a fast computational approach for molecular structure identification. SIRIUS 4 integrates CSI:FingerID for searching in molecular structure databases.
De-identify medical images with the help of Amazon Comprehend Medical and Amazon Rekognition | AWS Machine Learning Blog
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).