A5073186965- Immunotherapy and Immune Responses
- vaccines and immunoinformatics approaches
- Monoclonal and Polyclonal Antibodies Research
- Pharmaceutical Practices and Patient Outcomes
- Blood Pressure and Hypertension Studies
- Health Systems, Economic Evaluations, Quality of Life
- RNA and protein synthesis mechanisms
- Sarcoma Diagnosis and Treatment
- Genomics and Chromatin Dynamics
- SARS-CoV-2 and COVID-19 Research
- Venous Thromboembolism Diagnosis and Management
- Glycosylation and Glycoproteins Research
- Healthcare cost, quality, practices
- Lipoproteins and Cardiovascular Health
- CAR-T cell therapy research
- Statistical Methods and Inference
- Pharmacovigilance and Adverse Drug Reactions
- Cancer Immunotherapy and Biomarkers
- Antiplatelet Therapy and Cardiovascular Diseases
- Gene expression and cancer classification
- Genomics and Phylogenetic Studies
- Pharmaceutical studies and practices
Norwegian University of Science and Technology
2018-2024
Oslo Cancer Cluster
2020-2024
Abstract The global population is at present suffering from a pandemic of Coronavirus disease 2019 (COVID-19), caused by the novel coronavirus Severe Acute Respiratory Syndrome 2 (SARS-CoV-2). goal this study was to use artificial intelligence (AI) predict blueprints for designing universal vaccines against SARS-CoV-2, that contain sufficiently broad repertoire T-cell epitopes capable providing coverage and protection across population. To help achieve these aims, we profiled entire...
Abstract Wholesale, unbiased assessment of Scandinavian electronic health-care databases offer a unique opportunity to reveal potentially important undiscovered drug side effects. We examined the short-term risk acute myocardial infarction (AMI) associated with drugs prescribed in Norway or Sweden. identified 24,584 and 97,068 AMI patients via patient- cause-of-death registers linked prescription (2004–2014) Sweden (2005–2014), respectively. A case-crossover design was used compare dispensed...
Sarcomas are comprised of diverse bone and connective tissue tumors with few effective therapeutic options for locally advanced unresectable and/or metastatic disease. Recent advances in immunotherapy, particular immune checkpoint inhibition (ICI), have shown promising outcomes several cancer indications. Unfortunately, ICI therapy has provided only modest clinical responses seems moderately a subset the subtypes. To explore parameters governing resistance or escape, we performed whole exome...
Abstract We examined the short-term risk of stroke associated with drugs prescribed in Norway or Sweden a comprehensive, hypothesis-free manner using comprehensive nation-wide data. identified 27,680 and 92,561 cases first ischemic via patient- cause-of-death registers (2004–2014) (2005–2014), respectively, linked these data to prescription databases. A case-crossover design was used that compares dispensed within 1 14 days before date occurrence those 29 42 index event. Bolasso approach,...
We present model-based analysis for ChIA-PET (MACPET), which analyzes paired-end read sequences provided by finding binding sites of a protein interest. MACPET uses information from both tags each PET and searches in two-dimensional space, while taking into account different noise levels genomic regions. shows favorable results compared with MACS terms motif occurrence spatial resolution. Furthermore, significant discovered are involved higher number three-dimensional interactions than those...
Abstract The global population is at present suffering from a pandemic of Coronavirus disease 2019 (COVID-19), caused by the novel coronavirus Severe Acute Respiratory Syndrome 2 (SARS-CoV-2). goals this study were to use artificial intelligence (AI) predict blueprints for designing universal vaccines against SARS-CoV-2, that contain sufficiently broad repertoire T-cell epitopes capable providing coverage and protection across population. To help achieve these aims, we profiled entire...
BackgroundThe accurate computational prediction of B cell epitopes can vastly reduce the cost and time required for identifying potential epitope candidates design vaccines immunodiagnostics. However, current tools perform poorly are not fit-for-purpose, there remains enormous room improvement need superior strategies.ResultsHere we propose a novel approach that improves by encoding as binary positional permutation vectors represent position structural properties amino acids within protein...
ABSTRACT Background The accurate computational prediction of B cell epitopes can vastly reduce the cost and time required for identifying potential epitope candidates design vaccines immunodiagnostics. However, current tools perform poorly are not fit-for-purpose, there remains enormous room improvement need superior strategies. Results Here we propose a novel approach that improves by encoding as binary molecular permutation vectors represent position structural properties amino acids...
Scandinavian electronic health-care registers provide a unique setting to investigate potential unidentified side effects of drugs. We analysed the association between prescription drugs dispensed in Norway and Sweden short-term risk developing pulmonary embolism. A total 12,104 embolism cases were identified from patient- cause-of-death registries (2004-2014) 36,088 (2005-2014). case-crossover design was used compare individual 1-30 days before date diagnosis with dispensation 61-90 day...
Abstract This protocol predicts blueprints for vaccine design that contain a broad repertoire of T-cell epitopes optimized the global population. The first requires screening SARS-CoV-2 proteome using immunogenicity predictors to generate comprehensive epitope maps. Then, these maps are used as input Monte Carlo simulations designed identify statistically significant “epitope hotspot” regions in virus most likely be immunogenic. hotspots share homology with proteins human removed reduce...
Abstract Sarcomas are comprised of diverse bone and connective tissue tumors with few effective therapeutic options for locally advanced unresectable and/or metastatic disease. Recent advances in immunotherapy, particular immune checkpoint inhibition (ICI), have shown promising outcomes several cancer indications. Unfortunately, ICI therapy has provided only modest clinical responses seems moderately a subset the subtypes. To explore parameters governing resistance or escape, we performed...
Abstract We present Model-based Analysis for ChIA-PET (MACPET) which analyzes paired-end read sequences provided by finding binding sites of a protein interest. MACPET uses information from both tags each PET and searches in two-dimensional space, while taking into account different noise levels genomic regions. shows favorable results compared to MACS terms motif occurrence, spatial resolution false discovery rate. Significant discovered are involved higher number significant 3D...