Rats exhibit significant recovery of locomotor function following incomplete spinal cord injuries, albeit with altered gait expression and reduced speed and stepping frequency. These changes likely ...

The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

SLM is a key element of Siemens’ strategy to use a digital twin to address complex challenges and drive innovation effectively. A digital twin of a product is a virtual representation of the actual ...

Understanding these trends will equip life sciences leaders with the knowledge to convert volatility into sustainable ...

In Part 1, we explored the challenges of implementing machine learning and real-time analytics in semiconductor ...

Imagine a world without disease. Sounds utopian? AI just made it a multibillion-dollar bet to discover drugs – and forget Big ...

This important study looks into the effect of exogenous CoA on the response of TLR4-activated macrophages. Specifically, CoA enhances the LPS response by examining metabolomics, 13C tracing, and ...

The proposal to invest $3 million for the development of a swimming dock, water play area, changing facility and inflatable ...

Although data science and AI have been applied in life sciences for decades, their application has often fallen short of expectations, yielding incremental, rather than transformative, gains.

We propose a novel modeling framework integrating the dynamic material flow analysis approach with life cycle optimization methodology for sustainable design of energy systems.