A predictive biophysical model that integrates protein-DNA structures and sequences to accurately determine genomic binding sites and affinities of DNA-binding proteins.

Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...

But AI won’t just fit into the current model; it will continue to reshape it. That’s the deeper shift underway. This is about ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

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Model-based approaches for image reconstruction, analysis, and interpretation have made significant progress over the past decades. Many of these approaches are based on either mathematical, physical, ...

Catalytic epoxidations are key chemical processes serving as essential steps in the synthesis of commercially valuable compounds. This study presents an innovative supervised machine learning (ML) ...

In the present study, an innovative TCM approach based on sensor data modeling and model frequency analysis is proposed. The new approach creates a paradigmatic shift to the conventional TCM ...