Patient digital twins aim to create computational replicas of an individual’s physiology that can predict disease trajectories and treatment response.

Large Language Model Operations (LLMOps): Managing, deploying, and optimizing AI models like GPT. LLMOps involves fine-tuning, scaling, monitoring performance, and integrating AI systems into ...

As healthcare systems worldwide grapple with rising cancer rates, chronic diseases and limited clinical resources, ...

Chemistry World provides expert, independent science journalism for the global chemical science community. We are part of the ...

The other is to invest in high-fidelity digital twins which are deemed to be powerful but costly, data-hungry, and often slow to implement. A practical middle ground is emerging: the disruption-aware ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

According to Mercer's 2024 AI in Investment Management global manager survey, 91% of asset managers either currently use AI ...

The study AI Solutions for Improving Sustainability in Water Resource Management, published in Sustainability, offers a ...

If algorithms can track, classify, and predict behaviour at scale, can they also narrate a life before it is lived?

Few innovators bridge computational astrophysics, enterprise-scale artificial intelligence, and quantum computing while ...

As AI continues to evolve, its capacity to innovate and optimize will further solidify its role as a cornerstone of modern ...

They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces into which many will eventually be put to work. The company argues that a ...