Student's Corner

Joud Odeh talks about her Master's thesis in which she analyzed the sleep behavior of patients with different stages of Alzheimer's Disease.

PhD candidate Jonas describes how dynamic ensembles can help reduce bias in short-term forecasts in pandemic situations. This work is part of the AIOLOS project.

Master student Yihao Wang explains how he improved Natural Language Processing (NLP) models by infusing prior knowledge from ontologies.

PhD student Diego Valderrama explains how hybrid models can be used as an interpretable alternative to black-box machine learning approaches for pharmacokinetics modeling.

Jackrite To presents his work on validating gait parameters to monitor the progression of Parkinson's Disease better and to improve personalized treatment.

Master student Srividhya Sainath analyzes genetic profiles of Parkinson's Disease patients to explore subtypes.

Master student Johanna Driever explains how she used a natural language processing model in combination with Electronic Health Records to predict Parkinson’s Disease.

PhD student Vinay Bharadhwaj talks about his recent work on identifying shared mechanisms between psychiatric disorders using knowledge-driven and gene expression data-driven analysis.

Master’s student Aya Abdelbaky describes the work she has submitted on prediction of disease diagnosis using Graph Neural Networks on transcriptomics data.

PhD candidate Negin Babaiha talks about her work on integrating Natural Language Processing pipelines into causal biomedical knowledge graphs.