A5043205619- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Diagnosis and Treatment
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Cancer Immunotherapy and Biomarkers
- AI in cancer detection
- Medical Imaging Techniques and Applications
- Chronic Lymphocytic Leukemia Research
- Sarcoidosis and Beryllium Toxicity Research
- Plant Molecular Biology Research
- CAR-T cell therapy research
- Eosinophilic Disorders and Syndromes
- Polysaccharides and Plant Cell Walls
- Immunotherapy and Immune Responses
- Acute Lymphoblastic Leukemia research
- Cardiomyopathy and Myosin Studies
- Medical Image Segmentation Techniques
- Microtubule and mitosis dynamics
- Extracellular vesicles in disease
- Nosocomial Infections in ICU
- Skin Diseases and Diabetes
- Genetic Syndromes and Imprinting
- Dermatological and COVID-19 studies
- Atherosclerosis and Cardiovascular Diseases
- Colorectal Cancer Screening and Detection
- Bioinformatics and Genomic Networks
TU Dresden
2024
Hospital of the University of Pennsylvania
1998
Bellarmine University
1993-1994
Thomas Jefferson University
1988
Infant
1976
OBJECTIVE: This study was designed to characterize the reproducibility of measurement for tumor volumes and their longest diameters (LDs) estimate potential impact using changes in instead LDs as basis response assessments. METHODS: We studied patients with advanced lung cancer who have been observed longitudinally x-ray computed tomography a multinational trial. A total 71 time points from 10 13 morphologically complex target lesions were analyzed. 6461 volume measurements corresponding...
<h3>Background</h3> Immuno-oncology and cancer immunotherapies are areas of intense research. The numbers locations CD8+ tumor-infiltrating lymphocytes (TILs) important measures the immune response to with prognostic, pharmacodynamic, predictive potential. We describe development, validation, application advanced image analysis methods characterize multiple immunohistochemistry-derived CD8 parameters in clinical nonclinical tumor tissues. <h3>Methods</h3> Commercial resection tumors from...
Background . This study presents a semiautomated approach for volumetric analysis of lung tumors and evaluates the feasibility using volumes as an alternative to line lengths basis response evaluation criteria in solid (RECIST). The overall goal implementation was accurately, precisely, efficiently enable analyses lesions under guidance operator. Methods An anthropomorphic phantom with embedded model masses 71 time points 10 clinical cases advanced cancer analyzed semi-automated workflow....
Understanding communication among microorganisms through the array of signal molecules and establishing controlled transfer between different species is a major goal future biotechnology, multispecies bioreactor cultivations will open wide range applications. In this study, we used two quorum-sensing peptides from Bacillus subtilis – namely, competence sporulation factor (CSF) regulator activity phosphatase RapF (PhrF)—to establish interkingdom system prokaryotes eukaryotes. For purpose,...
3079 Background: Tumors use multiple means of immune evasion, notably the programmed death-1 (PD1)/PDL1 pathway. Anti-PD1/PDL1 therapy induces anti-tumor activity and has improved pt outcomes. Activation immunosuppressive CD39/CD73/adenosine pathway might play a role in pts who do not benefit from anti-PD1/PDL1 therapies. We evaluated expression CD73 PDL1 explored association between intraepithelial (IE) CD8+ cells (TILs) to begin understand their potential interplay cancer. Methods:...
Ziele: In der Routine-Umgebung radiologischen Bildgebung spielen heute Zeit- und Kostendruck bei gleichbleibend hoher diagnostischer Qualität eine so bedeutende Rolle, dass insbesondere Vermessung von 3D-Strukturen unterstützende, automatisierte Verfahren gesucht werden. Ziel kognitiven Computer Intelligenz ist es, dem Radiologen mit gleichbleibenden Zuverlässigkeit des Computers Sensitivität menschlichen Gehirns, zur schnelleren zuverlässigeren Befundung zu verhelfen.
Motivation: We have established a novel data mining procedure for the identification of genes associated with pre-defined phenotypes and/or molecular pathways. Based on observation that these are frequently expressed in same place or close proximity at about time, we devised an approach termed Common Denominator Procedure. One unusual feature this is specificity and probability to identify linked desired phenotype/pathway increase greater diversity input data. Result: To show feasibility our...
We evaluated the efficacy of intracoronary administration verapamil hydrochloride in reducing myocardial injury during acute ischemia and reperfusion. Ischemia was induced by 30% 45% reductions circumflex arterial blood flow for successive 2-hour periods. A reperfusion period (1 hour 45 minutes) followed upon deflation a pneumatic occluder. Verapamil (30 micrograms/kg) slowly injected into artery as bolus 15 minutes after each reduction step. To prevent verapamil-induced decreases heart...
Abstract Definiens and Mosaic Laboratories developed an immuno-oncology (IO) panel consisting of multiplex chromogenic IHC assays image data analysis solutions to determine a standardized profile the tumor microenvironment in non-small cell lung cancer (NSCLC). Expression PD-L1 on immune cells, density infiltrating populations, their spatial pattern have been shown be predictive for response immunotherapy. These factors are currently being evaluated whether they can guide treatment across...