Abstract: This paper presents a computational framework that combines supervised machine learning and multi-objective optimization to support data-driven decision-making for resource allocation in ...

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already known about genes, diseases, treatments, molecular pathways and symptoms in ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

Current methods to generate haplotype-resolved assemblies for highly heterozygous genomes suffer from reference bias or may generate imbalanced haplomes. Here, the authors present the PhaseGrass ...

Abstract: The objective of this paper is to implement a set of Neural Networks (NN) for the detection and recognition of handwritten digit characters. This paper is based on the Modified National ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...