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 ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...

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 ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

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.