This study evaluates Batch Bayesian Optimization as a robust alternative using Sporosarcina pasteurii to optimize microbial ...

Modular mechanistic modeling enhances mRNA IVT optimization and manufacturing efficiency through predictive bioprocessing insights.

Dynamic AI systems applied in biopharmaceutical manufacturing must be governed within established regulatory frameworks.

The field of livestock genomics has experienced remarkable progress over the past two decades, ushering in a new era of data-driven breeding practices.

The rapid proliferation of autonomous robotic systems, from UAV swarms and warehouse fleets to humanoid robots, has placed multi-agent coordination at the ...

Childhood Cancer Data Initiative Participant Index: Mapping Pediatric Cancer Data to Facilitate Cross-Study Integrated Analysis Using published summary data from JAVELIN Renal 101, we modeled PFS on ...

The shift toward AI-driven decision frameworks is not simply a technological trend but a fundamental necessity for life sciences supply chains.

In recent years, research using artificial intelligence to predict material properties has advanced rapidly. Neural network ...

Looking ahead, the global computer graphics community will reconvene for SIGGRAPH 2027, the 54th annual conference, taking ...

Iowa State researchers are part of a national initiative to build the most powerful integrated science discovery platform by uniting government, industry, academia and philanthropy. The projects will ...

Conducting first-in-human clinical trials in the United States is often associated with significant cost, complexity and delay. There is a ...