A5062892376- Medical Coding and Health Information
- Bioinformatics and Genomic Networks
- Inflammatory Bowel Disease
- Helicobacter pylori-related gastroenterology studies
- Gastric Cancer Management and Outcomes
- Gene Regulatory Network Analysis
- Computational Drug Discovery Methods
- Neurobiology and Insect Physiology Research
- Ion Channels and Receptors
- Artificial Intelligence in Healthcare
- Metabolomics and Mass Spectrometry Studies
- Colorectal Cancer Screening and Detection
- Gene expression and cancer classification
- Digital Imaging for Blood Diseases
- Dental Research and COVID-19
- Diverticular Disease and Complications
- Pain Mechanisms and Treatments
Hasso Plattner Institute
2022-2024
University of Potsdam
2022-2024
Icahn School of Medicine at Mount Sinai
2023-2024
Universitätsklinikum Würzburg
2018
University of Würzburg
2018
Oxidized phospholipids (OxPL) like oxidized 1-palmitoyl-2-arachidonoyl-sn-glycero-3-phosphocholine (OxPAPC) were recently identified as novel proalgesic targets in acute and chronic inflammatory pain. These endogenous chemical irritants are generated inflamed tissue mediate their pain-inducing function by activating the transient receptor potential channels TRPA1 TRPV1 expressed sensory neurons. Notably, prototypical therapeutics interfering with OxPL shown to inhibit TRP channel activation...
Abstract Motivation While it has been well established that drugs affect and help patients differently, personalized drug response predictions remain challenging. Solutions based on single omics measurements have proposed, networks provide means to incorporate molecular interactions into reasoning. However, how integrate the wealth of information contained in multiple layers still poses a complex problem. Results We present DrDimont, Drug prediction from Differential analysis multi-omics...
Abstract Real-world studies based on electronic health records often require manual chart review to derive patients’ clinical phenotypes, a labor-intensive task with limited scalability. Here, we developed and compared computable phenotyping rules using the spaCy frame-work Large Language Model (LLM), GPT-4, for disease behavior age at diagnosis of Crohn’s patients. We are first describe algorithms texts these complex tasks previously described inter-annotator agreements between 0.54 0.98....
Abstract Motivation While it has been well established that drugs affect and help patients differently, personalized drug response predictions remain challenging. Solutions based on single omics measurements have proposed, networks provide means to incorporate molecular interactions into reasoning. However, how integrate the wealth of information contained in multiple layers still poses a complex problem. Results We present DrDimont, D rug r esponse prediction from Di fferential analysis m...