Deep learning technologies are advanced machine‑learning methods that use multi‑layer neural networks to learn complex patterns from large datasets, such as 3D molecular structures or biological signals. They can automatically extract subtle features without manual engineering. For clinical and digital health audiences, this term signals a step beyond traditional statistics, enabling more powerful prediction and pattern recognition in drug and biomarker discovery.