A5078305808- Cell Adhesion Molecules Research
- Cellular Mechanics and Interactions
- Brain Tumor Detection and Classification
- Cell Image Analysis Techniques
- 3D Printing in Biomedical Research
- Neuroinflammation and Neurodegeneration Mechanisms
- AI in cancer detection
- Explainable Artificial Intelligence (XAI)
- Colorectal Cancer Treatments and Studies
- Medical Image Segmentation Techniques
- Barrier Structure and Function Studies
- Force Microscopy Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Digital Imaging for Blood Diseases
- Gastric Cancer Management and Outcomes
- Image Processing Techniques and Applications
- Genetic factors in colorectal cancer
University Hospital Frankfurt
2022
Goethe University Frankfurt
2022
Max Planck Institute for Medical Research
2020-2022
University of Lübeck
2020-2021
Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering
2020-2021
In gastric cancer (GC), there are four molecular subclasses that indicate whether patients respond to chemotherapy or immunotherapy, according the TCGA. clinical practice, however, not every patient undergoes testing. Many laboratories have used well-implemented in situ techniques (IHC and EBER-ISH) determine their cohorts. Although multiple stains used, we show a staining approach is unable correctly discriminate all subclasses. As an alternative, trained ensemble convolutional neuronal...
There is a lot of recent interest in the field computational pathology, as many algorithms are introduced to detect, for example, cancer lesions or molecular features. However, there large gap between artificial intelligence (AI) technology and practice, since only small fraction applications used routine diagnostics. The main problems transferability convolutional neural network (CNN) models data from other sources identification uncertain predictions. role tissue quality itself also...
Axonal degeneration (AxD) is a pathological hallmark of many neurodegenerative diseases. Deciphering the morphological patterns AxD will help to understand underlying mechanisms and develop effective therapies. Here, we evaluated progression in cortical neurons using novel microfluidic device together with deep learning tool that developed for enhanced-throughput analysis on microscopic images. The trained convolutional neural network (CNN) sensitively specifically segmented features...
Abstract The mechanics of fibronectin-rich extracellular matrix regulate cell physiology in a number diseases, prompting efforts to elucidate mechanosensing mechanisms at the molecular and cellular scale. Here, use fibronectin-functionalized silicone elastomers that exhibit considerable frequency-dependence viscoelastic properties unveiled presence two processes respond discreetly substrate mechanical properties. Soft supported efficient focal adhesion maturation fibroblast spreading due an...
Abstract Background Axonal degeneration (AxD) is a pathological hallmark of many neurodegenerative diseases. Deciphering the morphological patterns AxD will help to understand underlying mechanisms and develop effective therapeutic interventions. Here, we evaluated progression in cortical neurons using novel microfluidic device combination with deep learning tool, EntireAxon, that developed for enhanced-throughput analysis on microscopic images. Results The EntireAxon convolutional neural...