Jacob Gildenblat

This paper introduces a framework for creating virtual pathology panels using mass spectrometry imaging, combining ML techniques to improve interpretation and visualization of molecular data.

MSI-VISUAL provides interactive tools for MSI analysis, improving visualization and detection of tissue differences in mouse brain and kidney data.

This paper uses mass-spectrometry imaging and explainable machine learning to create a high-resolution brain lipid and metabolite atlas, revealing novel lipid patterns, anatomical connections, and disease-related signatures.

This paper investigates how ABCA7 deficiency worsens glutamate excitotoxicity in Alzheimer's disease mice, identifying ABCA7 as a potential pharmacological target for Glu-related neurotoxicity.

This paper introduces two objectives to improve dimensionality reduction by preserving both global and local structure, achieving better performance on biomedical datasets.