A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...

AI’s greatest economic impact will come not from automating tasks but from dramatically lowering the “translation” costs that keep teams, tools, and data from working together. By extracting structure ...

Google’s first-stage retrieval still runs on word matching, not AI magic. Here’s how to use content scoring tools accordingly ...

Human MAP1LC3B (LC3B) binds proteins involved in autophagy and other cellular processes using a degenerate four-residue short linear motif known as the LC3-interacting region (LIR). Biochemical and ...

As AI content pollutes the web, a new attack vector opens in the battleground for cultural consensus. Research led by a Korean search company argues that as AI-generated pages encroach into search ...

BrainAlignNet, AutoCellLabeler, and CellDiscoveryNet—to automatically track and identify neurons in moving worms and jellyfish.

Objectives The optimal maternal age at childbirth has been a topic of bourgeoning literature, with earlier ages offering physiological benefits for maternal recovery. In contrast, later ages to give ...