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Genes, BRCA1

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Machine learning-based reclassification of germline variants of unknown significance: The RENOVO algorithm.

American journal of human genetics
The increasing scope of genetic testing allowed by next-generation sequencing (NGS) dramatically increased the number of genetic variants to be interpreted as pathogenic or benign for adequate patient management. Still, the interpretation process oft...

Integrating pharmacophore model and deep learning for activity prediction of molecules with BRCA1 gene.

Journal of bioinformatics and computational biology
In this paper, we propose a novel approach for predicting the activity/inactivity of molecules with the BRCA1 gene by combining pharmacophore modeling and deep learning techniques. Initially, we generated 3D pharmacophore fingerprints using a pharmac...