Ayanjeet Ghosh

This study investigates the structural characteristics of amyloid-beta aggregates in cerebral amyloid angiopathy, identifying antiparallel beta-sheet structures linked to lipid-mediated aggregation.

This paper introduces a neural network model to rapidly predict protein secondary structure from discrete frequency infrared images, significantly reducing data acquisition and analysis time.

This study shows that Aβ can form mixed polymorphs with different seeds, deviating from its typical parallel β structure, and highlights the complexity of Aβ aggregation in Alzheimer's disease.