Through predictive modelling, AI supports target identification, prediction of physicochemical properties and formulation strategy selection.

In many public healthcare systems, particularly in resource-constrained environments, time-series forecasting models offer a practical, interpretable, and evidence-based alternative (Stacey et al., ...

Researchers analyzed studies showing the hippocampus integrates memory and perception via prediction. Prediction errors ...

Systematic fixed-income investing is an active approach that aims to beat market returns by identifying and harnessing the ...

Summary A predictive maintenance model that processes data at high speed supports faster decision-making and real-time ...

The first phase of the AI race was dominated by algorithms and computing power. The next phase may be defined by the ability ...

From Stock-to-Flow and Power Law to NVT ratios and machine learning, the most common crypto prediction models each carry ...

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

Goodwood’s FOS Future Lab 2026 showcases tech set to transform how we live, work, travel & stay healthy, from Moon missions ...

The future of equitable AI in community health centers will be measured by how effectively we are able to demand partnership ...

According to a recent paper by catastrophe risk modeler Karen Clark & Company (KCC), while a long-term correlation exists ...

What makes people change their minds or their behavior? Social scientists spend a lot of time thinking about this question, ...