Abstract mAbs are highly indispensable tools for diagnostic, prophylactic, and therapeutic
applications. The first technique, hybridoma technology, was based on fusion of B …

To be viable therapeutics, antibodies must be tolerated by the human immune system.
Rational approaches to reduce the risk of unwanted immunogenicity involve maximizing the …

Abstract Integrating Lean Manufacturing tools with artificial intelligence (AI) is emerging as a
revolutionary approach to optimize production processes, reduce waste, and enhance …

Background Maintaining machines effectively continues to be a challenge for industrial
organisations, which frequently employ reactive or premeditated methods. Recent research …

Background: Cancer is a significant global health problem that continues to cause a high
number of deaths worldwide. Traditional cancer treatments often come with risks that can …

The evolving development landscape of biotherapeutics and their growing complexity from
simple antibodies into bi-and multi-specific molecules necessitates sophisticated discovery …

The development of therapeutic antibodies is an important aspect of new drug discovery
pipelines. The assessment of an antibody's developability—its suitability for large-scale …

Machine learning (ML) is revolutionizing drug repurposing, offering a more efficient, cost‐
effective approach to drug discovery by identifying new therapeutic uses for existing drugs …

Molecular optimization, which aims to improve molecular properties by modifying complex
molecular structures, is a crucial and challenging task in drug discovery. In recent years …

The application of therapeutic peptides in clinical practice has significantly progressed in the
past decades. However, immunogenicity remains an inevitable and crucial issue in the …