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Image from the video game EVE Online with a background of fluorescently labeled cells. Sullivan et al. report how the analysis of large-scale imaging experiments was facilitated by incorporating an image classification task as a minigame in this mainstream massively multiplayer online game and by intergrating the player annotations with deep learning approaches (p 820). Image credit: Sölvi Hrafn Ingimundarson (CCP games) and the Human Protein Atlas
South Korea's 8-year effort to create an integrated platform for novel target and lead development provides an academic drug discovery model for other emerging economies.
Greater safeguards are needed to address the personal safety, security and privacy risks arising from increasing adoption of neurotechnology in the consumer realm.
Though a patent's protection scope should be based on the content of the claims and written description, determining the protection scope of a biosequence patent has always been a controversial issue in practice.
Pattern recognition in imaging data by >300,000 players of a global, online, commercial computer game is combined with deep learning to improve the accuracy of annotation of subcellular protein localization.
Brendan Frey and colleagues provide a personal overview of the machine learning field and in particular deep learning. They outline the technical challenges in applying machine learning to different types of biological and biomedical data and go on to discuss the challenges in implementing these approaches in the clinical realm, in drug discovery programs and within regulatory agencies.
Adapting the clinical residency training model can help postdoctoral research fellows navigate and personalize their training experience for their unique career goals.