A 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). It highlights how cellular stress responses in intestinal cells can contribute to the development of colorectal cancer by […]
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)! The book addresses interdisciplinary perspectives on how humans and machines can coexist and collaborate in the future. Key topics include medicine and
Wie wird das Zusammenleben und -wirken von Menschen und Maschinen zukünftig aussehen? Lassen sich Umfang und Intensität der neuen Synergien bestimmen? Eine wichtige Rolle spielt dabei die Frage, womit wir es beim erweiterten Zusammenwirken mit künstlicher Intelligenz überhaupt zu tun haben. Ansätze, diese begrifflich-theoretisch zu beurteilen, im konkreten Fall messbar zu machen und auch ethisch
Zusammenwirken von natürlicher und künstlicher Intelligenz: Beurteilen-Messen-Bewerten Read Post »
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
MeTEor: A New R Shiny App for Longitudinal Metabolomics Analysis Read Post »
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,
Opportunities and Limits of “Simulated Empathy”: LLMs in Surgical Informed Consent Read Post »
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
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
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
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
New Recommendations for Optimal Sequencing Depth in Alternative Splicing Studies Read Post »
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
New Recommendations for Optimal Sequencing Depth in Alternative Splicing Studies Read Post »
