Toward Machine Learning‐Guided CHO Bioprocess and Media Optimization for Improved Titer and Glycosylation
Sign Up to like & getrecommendations! Published in 2025 at "Biotechnology Journal"
DOI: 10.1002/biot.70149
Abstract: Precise control of critical quality attributes, including titer and glycosylation, is essential in bioprocessing, yet conventional design‑of‑experiments methods are challenged by the high‐dimensional, nonlinear design space for media and process parameters. We assemble a comprehensive… read more here.
Keywords: process; toward machine; machine learning; titer glycosylation ... See more keywords
Toward machine intelligence that learns to fingerprint polymorphic worms in IoT
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22871
Abstract: Internet of Things (IoT) is fast growing. Non‐personal computer devices under the umbrella of IoT have been increasingly applied in various fields and will soon account for a significant share of total Internet traffic. However,… read more here.
Keywords: polymorphic worms; machine; toward machine; fingerprints signatures ... See more keywords
Toward a machine learning model for a primary diagnosis of Guillain-Barré syndrome subtypes.
Sign Up to like & getrecommendations! Published in 2021 at "Health informatics journal"
DOI: 10.1177/14604582211021471
Abstract: Guillain-Barré Syndrome (GBS) is a neurological disorder affecting people of any age and sex, mainly damaging the peripheral nervous system. GBS is divided into several subtypes, in which only four are the most common, demanding… read more here.
Keywords: machine learning; diagnosis; toward machine; guillain barr ... See more keywords