How complex neural circuits are genetically designed and wired is a fundamental question in neuroscience. Scientists have ...

Abstract: Gene regulatory network (GRN) inference is essential for understanding gene interactions that control biological functions and disease progression. Its goal is to uncover regulatory ...

Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...

Chemists have long faced a maddening problem. The number of possible useful molecules is so vast that even the ones already ...

The Similar Parts Search technology demonstration combines Graph Neural Networks (GNNs) with advanced 3D geometric processing ...

AI-driven recruitment is expanding rapidly, with 43% of HR teams now using advanced matching algorithms, even as governments advance regulatory frameworks and workers voice resistance to AI mandates.

In modern medical systems, drug therapy remains one of the most essential approaches for disease prevention and treatment. In particular, combination ...

Recent advances in deep learning have enabled effective interpretation of neural activity patterns from electroencephalogram signals; however, challenges persist in invasive brain signals for ...

The Heisenberg uncertainty principle puts a limit on how precisely we can measure certain properties of quantum objects. But researchers may have found a way to bypass this limitation using a quantum ...

With the growing emphasis on sustainable development, the demand for environmentally friendly solvents in green chemical ...