A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...

Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

India’s economy grew at its fastest pace in six quarters in Q2 FY26, inflation stayed below tolerance, fiscal metrics ...

Here's an interesting fact: companies that rely on data to make their decisions are more likely to achieve better results.

A Hebrew University study suggests AI tools could help growers better manage water use by predicting healthy plant behavior and flagging early signs of stress.

Artificial intelligence has just redrawn the map of our genome’s control room, revealing hundreds of thousands of tiny DNA ...

A new Israeli study suggests that machine-learning models may soon give growers a far more precise way to predict how much water their crops use each day, while also laying the groundwork for earlier ...