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. To demonstrate its […]

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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. However,

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ATF6 activation alters colonic lipid metabolism causing tumor-associated microbial adaptation

Endoplasmic reticulum unfolded protein responses (UPRER) contribute to cancer development and the activating transcription factor 6 (ATF6) is involved in microbiota-dependent tumorigenesis. Here, we substantiate the clinical relevance of ATF6 in early-onset and late colorectal cancer patient cohorts. Transcriptional analysis in intestinal epithelial cells (IEC) of ATF6 transgenic mice (nATF6IEC) identified bacteria-specific changes in cellular

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Large language models for surgical informed consent: an ethical perspective on simulated empathy

Informed consent in surgical settings requires not only the accurate communication of medical information but also the establishment of trust through empathic engagement. The use of large language models (LLMs) offers a novel opportunity to enhance the informed consent process by combining advanced information retrieval capabilities with simulated emotional responsiveness. However, the ethical implications of

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PRETTY

In certain types of cancer, such as leukaemia, high-dose chemotherapy is usually used, which completely or largely destroys the haematopoietic stem cells in the bone marrow. The transfer of healthy donor stem cells then represents the only chance of survival for those affected. However, such an allogeneic haematopoietic stem cell transplant also has side effects

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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). By analyzing extensive RNA-Seq datasets from human tissues such

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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). By analyzing extensive RNA-Seq datasets from human tissues such

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Epistasis Disease Atlas

The EDA is a comprehensive database focused on epistatic interactions, analyzing how groups of genes work together to cause complex diseases. The atlas currently covers Alzheimer’s, rheumatoid arthritis, bipolar disorder, coronary heart disease, inflammatory bowel disease, type 1 and type 2 diabetes, and hypertension. Data is accessible through a user-friendly R-Shiny app for searching, visualization,

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