Go to main content
Formats
Format
BibTeX
MARCXML
TextMARC
MARC
DublinCore
EndNote
NLM
RefWorks
RIS

Files

Abstract

Despite promising results, the adoption of machine learning in the pharma and biotech industries is limited due to data accessibility, deployment complexity, and application-specific challenges. We present an anomaly detection platform that uses state-of-the-art MLOps technologies for easy deployment and maintenance. This low-code platform supports various algorithms, including deep learning, reinforcement learning, and statistical methods, and integrates human-in-the-loop for continuous model improvement.

Details

Actions

PDF