Student's Corner

Marjan Niazpoor explains how suitable bioassays for the validation of structured biomedical hypotheses can be identified with the aid of Knowledge Graphs and Large Language Models, the topic of her recently submitted master's thesis.

Leonie Fohler presents her master's thesis, which she recently defended as part of the applied mathematics degree program at Koblenz University of Applied Sciences. Her thesis was supervised by Prof. Dr. Holger Fröhlich and Prof. Dr. Michael Kinder.

Master's student Johanna Driever talks about her latest paper in which she used Domain Adaptation to generalize Machine Learning predictions across EHR datasets from different healthcare systems.

Endri Gupta presents her Master's thesis which explores the integration of artificial intelligence, knowledge graphs, and biomedical evidence to support clinical decision-making in the presence of co-morbidities.

Astha Anand explains how she developed and evaluated an expert question answering system in the domain of agricultural pest control for her Master's thesis.

Avani Bhat shares a digest of her Master's thesis about a layered validation strategy to ensure that both curated and automated graphs reflect trustworthy biological knowledge.

PhD student Manuel Lentzen presents his latest paper about the potential of Remote Monitoring Technologies (e.g., gait analysis with wearable sensors or app-based cognitive assessments) for the early detection of Alzheimer's disease.

Aparna Krishnan explains her Master's thesis in which she developed a workflow to rapidly generate variable data landscapes of clinical studies available for any indication area, such as 'aging and longevity'.

Thomas Gerlach discusses his recently submitted Master's thesis on using graph neural networks to predict unintended drug interactions and off-target effects, with a focus on antibody-based drugs.

Neha Nageswaran talks about her Master's thesis, in which she explored the potentials of AI-based analysis of gait movements for the clinical assessment of Parkinson's Disease.