This session explores how artificial intelligence is transforming antibody discovery by integrating machine learning with ...

Artificial intelligence/machine learning-driven modeling reduces time to market for faster design technology co-optimization development..

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

Machine learning didn’t disappear — it embedded itself. These seven competencies define what marketers must architect, govern and measure for 2026.

FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Operating rooms are critical to surgical care and hospital revenue, but inefficiencies in the OR are a challenge at nearly ...

This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...

Cell culture is a foundational technology widely used across fields such as pharmaceutical production, regenerative medicine, food science, and materials engineering. A critical component of ...

ABSTRACT: The COVID-19 pandemic exposed critical vulnerabilities in global medical supply chains, resulting in widespread shortages of essential healthcare products. This study aims to optimize the ...

Abstract: A machine-learning-based framework for antenna shape optimization design is presented, which enables an accelerated design process for antennas. The employment of a self-supervised learning ...