Student's Corner

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.

Mehmet Can Ay presents PDataViewer, a web-based application to explore the data landscape for Parkinson's Disease research, which he developed as part of his Master's thesis.

Deniz Er provides insights into predicting biological causal relationships in Alzheimer's research through link prediction methods applied to the Human Brain Pharmacome (HBP), the focus of her Master's thesis.

Kiril Klein introduces the PHAIR project, which aims to improve the surveillance of drug safety monitoring by integrating health data and artificial intelligence.

Georg von Arnim gives insights into personalized drug recommendation via in-context learning on graph data, the topic of his recently submitted master's thesis.

Mohamed Aborageh shares a preview of his upcoming paper, demonstrating how genetic data can be used to assess the causal effect of different comorbidities on the development of dementia in Parkinson's patients.