News

New insights into colorectal cancer: How cellular stress reshapes gut microbiota and promotes tumor growth

recent study, currently available as a preprint, was conducted by an international team of researchers led by Olivia I. Coleman and Adam Sorbie, with contributions from numerous others, including Tim Kacprowski (see complete author list below).

New Book Published: Interaction of Natural and Artificial Intelligence: Assessing - Measuring - Evaluating

We are pleased to announce the online publication of the book, “Zusammenwirken von natürlicher und künstlicher Intelligenz: Beurteilen - Messen - Bewerten” (Interaction of Natural and Artificial Intelligence: Assessing - Measuring - Evaluating)!

Opportunities and Limits of “Simulated Empathy”: LLMs in Surgical Informed Consent

Large Language Models” (LLMs), such as ChatGPT, could potentially support the informed consent process for surgical interventions, although the full extent of their capabilities remains unclear. A recent study by TU Braunschweig and Medizinische Hochschule Hannover investigates whether advanced AI systems can make medical information more understandable while easing the workload on medical personnel.

MeTEor: A New R Shiny App for Longitudinal Metabolomics Analysis

The Peter L. Reichertz Institute for Medical Informatics has developed MeTEor (MEtabolite Trajectory ExplORer), an R Shiny app designed to simplify the analysis of longitudinal metabolomics data. MeTEor addresses challenges such as data complexity and temporal variability, providing researchers with accessible tools for exploring time-series omics datasets without requiring advanced programming expertise.

New Recommendations for Optimal Sequencing Depth in Alternative Splicing Studies

As part of an international research team led by Olga Tsoy from the University of Hamburg, the Division of Data Science in Biomedicine contributed to the development of new guidelines for determining the optimal sequencing depth in RNA sequencing (RNA-Seq) studies focusing on alternative splicing (AS).

Goal: Increasing lifespan and quality of life for patients with leukaemia

MHH cooperation project PRETTY develops prediction model for individual risk of side effects after stem cell transplantation

New AI Tool NeEDL Unveils Hidden Genetic Interactions in Diseases

After six years of intensive work an international research team has developed an innovative AI tool called NeEDL. This tool identifies hidden epistatic interactions (EIs)—genetic interactions that affect many hereditary diseases and were previously difficult to detect.

New Epistasis Disease Atlas Reveals Complex Genetic Interactions

After seven years of intensive research, inter-university research team releases the Epistasis Disease Atlas (EDA). This innovative online tool offers detailed insights into the genetic causes of eight major diseases, including Alzheimer’s and diabetes.

Day of Young Software Developers: Award for Students of the Division Data Science in Biomedicine

On July 11, students from the Technical University of Braunschweig presented the results of this year's software development internship. The event provided a platform for aspiring developers to showcase their semester projects and compete with other talents from the fields of Computer Science, Business Informatics, and Information Systems Engineering.

Successful workshop on computer modelling in biology and medicine 2024 in Dresden

On 6 and 7 June 2024, the workshop of the GMDS/IBS-DR working groups 'Mathematical Models in Medicine and Biology' and 'Statistical Methods in Bioinformatics' took place in Dresden.