all AI news
Constrained Submodular Optimization for Vaccine Design. (arXiv:2206.08336v1 [q-bio.QM])
June 17, 2022, 1:11 a.m. | Zheng Dai, David Gifford
cs.LG updates on arXiv.org arxiv.org
Advances in machine learning have enabled the prediction of immune system
responses to prophylactic and therapeutic vaccines. However, the engineering
task of designing vaccines remains a challenge. In particular, the genetic
variability of the human immune system makes it difficult to design peptide
vaccines that provide widespread immunity in vaccinated populations. We
introduce a framework for evaluating and designing peptide vaccines that uses
probabilistic machine learning models, and demonstrate its ability to produce
designs for a SARS-CoV-2 vaccine that outperform …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Senior Machine Learning Engineer
@ GPTZero | Toronto, Canada
ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)
@ HelloBetter | Remote
Doctoral Researcher (m/f/div) in Automated Processing of Bioimages
@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena
Seeking Developers and Engineers for AI T-Shirt Generator Project
@ Chevon Hicks | Remote
Senior Applied Data Scientist
@ dunnhumby | London
Principal Data Architect - Azure & Big Data
@ MGM Resorts International | Home Office - US, NV