Rolf Kaiser

Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV

Clinical data usually cannot be freely distributed due to their highly confidential nature and this hampers the development of machine learning in the healthcare domain. One way to mitigate this...

Incorporating temporal dynamics of mutations to enhance the prediction capability of antiretroviral therapy's outcome for HIV-1

Motivation: In predicting HIV therapy outcomes, a critical clinical question is whether using historical information can enhance predictive capabilities compared with current or latest available...

Arevir: A Secure Platform for Designing Personalized Antiretroviral Therapies Against HIV

Identifying drug resistance-associated patterns in HIV genotypes

Characterization of Novel HIV Drug Resistance Mutations Using Clustering, Multidimensional Scaling and SVM-Based Feature Ranking

Methods for optimizing antiviral combination therapies

Selecting anti-HIV therapies based on a variety of genomic and clinical factors

Needs for an Integration of Specific Data Sources and Items - First Insights of a National Survey Within the German Center for Infection Research

Learning multiple evolutionary pathways from cross-sectional data