Workshop 16 January 2025
List of people who will participate at workshop for convergence environments. Will be updated.
Neuroscience
Name | Research topic(s) of interest and/or competence |
Title or short description (2-3 sentences) of initial project idea |
---|---|---|
Physical modelling of biological systems, Complex systems, Active matter, Biophysics |
||
Lifespan, Ageing, interdisiplinarity. |
Discovery of new mechanisms and of ways to delay the speed of ageing based on the new mechanistic insights. New ways to integrate humanities and social sciences with biology for present and yet unknown future demands to achieve healthy, happy and meaningful ageing. The novel mechanisms unveiled, novel interventions, and unique interdisciplinary approach will make the NO-Age Centre stand out as an internationally leading research environment. |
|
Cognitive neuroscience, Predictive processing, Attention, Intracranial EEG |
Title: Attention in Artificial Intelligence and the Brain This project aims to bridge theoretical and practical implementations of attention from the informatics and cognitive neuroscience perspectives. We will use electrophysiological data (intracranial EEG) from human patients and advanced machine-learning algorithms to study attention. With this interdisciplinary approach, we expect that cross-breading will benefit both research fields. |
|
Charlotte Boccara |
Sleep Systems, neuroscience, cognitive development |
We combine high density electrophysiology, optogenetics and computational analyses to investigate how sleep contributes to healthy development. |
Advanced light microscopy, biomechanics, active matter physics, cell migration, tissue regeneration, cell biology |
||
Ulysse C?té-Allard |
Machine learning, wearable, human-computer interface, digital biomarkers |
Health state recognition and trajectory prediction. |
Bj?rn Dalhus |
Structural biology, molecular interactions, drug design, enzyme inhibitors, peptide drug design, molecular modeling. Cancer, antimicrobial resistance, neurodegenerative diseases, DNA repair. |
We have experiences in recombinant protein production and purification, protein stability and interaction studies. Several technologies for drug-target interaction studies, drug-target affinities, 3D modeling of molecular interactions and drug-target optimization. Of particular interest are cancer, antimicrobial resistance and neurodegenerative diseases. |
Camila Esguerra |
Disease models, Drug discovery, Tissue xenografting, Toxicology |
|
Steffen Maude Fagerland |
fNIRS, fMRI, brain training |
|
Healthy longevity; hallmarks of ageing; dementia; population ageing |
interested in healthy longevity though the study of the mechanisms of ageing and the use of AI + wet lab techniques to propel drug development. |
|
Inborn Errors of Immunity, Genetics, gene editing, T cell CRISPR, hematopoietic stem cell CRISPR |
My lab is developing clinical protocols for T cell and hematopoietic stem cell correction in genetic blood diseases; these include inborn errors of immunity and certain inherited anemias and platelet disorders. We aim to establish a disease-independent system which can correct patient-specific mutations in autologous T cells and stem cells, which can then be infused back as an autotransplant. |
|
Drug discovery/drug development, neuroscience, molecular and cellular mechanisms of chronic pain, life science and social aspects of pain management, drug use and substance abuse, CNS-inflammation and its resolution by lipid mediators. |
Studies of cellular and biomolecular processes in neuroinflammation pain |
|
Sandip Kanse |
Inflammation, Innate immunity, Stroke, Thrombosis, Vascular biology, Organoids, Risk factors, Treatment Animal models, Proteases, Biochemistry |
|
Autophagy, kidney cancer, drosophila |
Autophagy in sleep and restoration |
|
Depression, stress, psychobiology, psychoneuroimmunology, psychosomatics |
Several options possible based on potential collaborators' orientation and interests. I have ongoing projects (with focus on above topics of interest/competence) with multiple existing datasets, both clinical and population-based, ranging from 100 to ca. 500,000 individuals. Most samples include biomaterial banks (serum, plasma, whole blood, placental tissue, hair). |
|
Siri Leknes |
Applying psychology to understand health consequences of clinical decisions and clinical encounters, Opioid effects; pain; addiction; anaestesia, Affective neuroscience, social neuroscience |
Applying psychology to understand consequences of clinical decisions |
Niamh MacSweeney |
Hormonal contraceptive use, adolescent brain development, mental health risk, women's health, puberty, cognitive neuroscience |
|
Anders Malthe-S?rensen |
Neuroscience, gene therapy, de novo protein design, machine learning, docking simulations |
Our goal is to develop a platform technology for gene therapies for central nervous system diseases combining generative AI models for construct and capsid development, in vitro and in vivo experimental pipelines, and an integral RRI approach to address fundamental relevant ethical issues. |
Cecilie Morland |
Stroke |
Preclinical development of new stroke treatment |
Real-World Data, Pharmacoepidemiology, Pharmacology, Women's health, Pregnancy, Neurosciences |
Norway is home to some of the world's most comprehensive and well-maintained health care registries. These registries contain valuable data on patient demographics, diagnoses, treatments, and outcomes, and represent a tremendous opportunity for researchers to gain insight into the effectiveness and safety of pharmaceuticals for patients in real-world settings. A convergence environment would have the potential to improving accessibility, interoperability and efficiency of Norwegian health care data for health research, education and innovation. |
|
clinical proteomics, mass spectrometry, spatial proteomics, personalised medicine |
Proteomics is the ‘large scale study of proteins’, and proteome level information is critically important in biomedical research. Recent advances in mass spectrometry (MS)-based proteomics have opened the way to widespread use of proteomics in clinical applications and personalized medicine. Also, new MS-based approaches for profiling the spatial proteome/lipidome/metabolome in tissues are important for understanding biological complexity in health and disease. Here, I propose an interdisciplinary project utilizing novel proteomics techniques to exploit the power of proteomics to address challenges in personalized medicine. |
|
John N. Parker |
I am a sociologist of science with expertise in how to best create the kinds of organizations, groups, and social interactions that best facilitate creative interdisciplinary research. My interest is in joining a team to help them plan how they might best organize themselves for interdisciplinary success. |
|
Ragnhild Paulsen |
Developmental neurotoxicity |
Opioid effects in the brain and society |
Artificial synapse, physical neural networks |
Development of solid-state electrochemical synapses based on resistive switches. These can be modulated by incorporation of protons, which emulates the strengthening and weakening of synapses in the brain. |
|
Cellular mechanisms in stroke |
Preclinical development of new stroke treatment |
|
Molecular and cell biology of stress signaling, Cancer biology - mechanisms, identification of biomarkers and novel therapies, Physiological and molecular/cell biological effects of mind/body practices |
Center for stress research |
|
Bano Singh |
1. Innovative treatment of patients who lose their sense of smell and/or taste due to different causes. 2. Innovative treatment of patients with oral burning sensation. 3. Understanding how brain processes smell, taste and oral pain. |
|
Clinical neuropsychology, Human cognitive neuroscience, Brain injury, ADHD, Frontal lobes, Executive functions/cognitive control, Predictive processing, Attention, Working memory, Scalp- and Intracranial EEG |
Preliminary title: Attention in the Human brain and in Artificial Intelligence. This project aims to study attention mechanisms from the views of informatics and human cognitive neuroscience. We will combine behavioral and electrophysiological data (primarily intracranial EEG) from humans performing cognitive tasks and machine-learning algorithms to study controlled attention and its role in predictive processes and decision-making. This interdisciplinary project is expected to enhance our understanding of both biological and artificial attention mechanisms. |
|
J?rgen Sugar |
Neuroscience, Memory |
Attention is important for memory. How is attention formed in the brain and how is it used to successfully form memories? My idea is to record neural data in humans while they perform a memory task that is highly dependent on attention. |
Brain development, adolescents, mental health, MRI, environmental factors |
||
Gene regulation |
Multi-layered gene regulation. Interaction across epigenetics, transcription, epitranscriptomics and translation. |
|
Neuroscience, microscopy, in vivo cellular imaging, mouse behavior and psychophysics, computational statistics, optogenetics, eye tracking, olfaction, visual and auditory physiology, learning and memory, Alzheimer's disease, brain tumours, sleep. |
Personalised medicine
Name | Research topic(s) of interest and/or competence |
Title or short description (2-3 sentences) of initial |
---|---|---|
Physical modelling of biological systems, Complex systems, Active matter, Biophysics |
||
Lifespan, Ageing, interdisiplinarity. |
Discovery of new mechanisms and of ways to delay the speed of ageing based on the new mechanistic insights. New ways to integrate humanities and social sciences with biology for present and yet unknown future demands to achieve healthy, happy and meaningful ageing. The novel mechanisms unveiled, novel interventions, and unique interdisciplinary approach will make the NO-Age Centre stand out as an internationally leading research environment. |
|
Advanced light microscopy, biomechanics, active matter physics, cell migration, tissue regeneration, cell biology |
||
Ulysse C?té-Allard |
Machine learning, wearable, human-computer interface, digital biomarkers |
Health state recognition and trajectory prediction. |
Bj?rn Dalhus |
Structural biology, molecular interactions, drug design, enzyme inhibitors, peptide drug design, molecular modeling. Cancer, antimicrobial resistance, neurodegenerative diseases, DNA repair. |
We have experiences in recombinant protein production and purification, protein stability and interaction studies. Several technologies for drug-target interaction studies, drug-target affinities, 3D modeling of molecular interactions and drug-target optimization. Of particular interest are cancer, antimicrobial resistance and neurodegenerative diseases. |
Nina Edin |
Radiation physics, radiobiology |
Convergence environment on Radiation and Health |
Jorrit Enserink |
Immunotherapy; prediction of outcome; cancer heterogeneity; patient stratification; drug screening; leukemia |
Immunotherapy can provide remarkable clinical benefit to cancer patients; however, only a subset of patients responds to immunotherapeutic treatment. Being able to differentiate between responders and non-responders will have a major impact on the accuracy of patient stratification and thereby on treatment outcome. The goal of our environment will be to bring together experts in the field of cancer biology, mathematical modeling, and law/ethics to develop novel personalised medicine methods for immunotherapeutic treatment of a variety of cancer types. |
Camila Esguerra |
Disease models, Drug discovery, Tissue xenografting, Toxicology |
|
Steffen Maude Fagerland |
fNIRS, fMRI, brain training |
|
Healthy longevity; hallmarks of ageing; dementia; population ageing |
interested in healthy longevity though the study of the mechanisms of ageing and the use of AI + wet lab techniques to propel drug development. |
|
Philosophy of medicine; Philosophy of science in practice. |
Knowledge gaps and epistemic injustice in medical research. |
|
Osman Gani |
Computer-aided drug design (CADD). Molecular Modeling |
|
surfaces, cell adhesion, implants |
||
Sandip Kanse |
Inflammation, Innate immunity, Stroke, Thrombosis, Vascular biology, Organoids, Risk factors, Treatment Animal models, Proteases, Biochemistry |
|
Autophagy, kidney cancer, drosophila |
Autophagy in sleep and restoration |
|
Mathematical modeling, knowledge-driven machine learning, digital twins, personalized cancer therapies, biomarkers, genomics, medical imaging. |
Personalized cancer therapy integrating multi-type clinical data, biological experimentation, mechanistic mathematical models and artificial intelligence. |
|
Depression, stress, psychobiology, psychoneuroimmunology, psychosomatics |
Several options possible based on potential collaborators' orientation and interests. I have ongoing projects (with focus on above topics of interest/competence) with multiple existing datasets, both clinical and population-based, ranging from 100 to ca. 500,000 individuals. Most samples include biomaterial banks (serum, plasma, whole blood, placental tissue, hair). |
|
Siri Leknes |
Applying psychology to understand health consequences of clinical decisions and clinical encounters, Opioid effects; pain; addiction; anaestesia, Affective neuroscience, social neuroscience |
Applying psychology to understand consequences of clinical decisions |
Angela Lupattelli |
Drug repurposing, psychiatry, early life drug exposure |
Drug repurposing for difficult-to-treat mental disorders across the life-course, including assessment of personalized drug treatment approaches based on genetic predisposition |
Emma L?ng |
Main interests: wound healing, cancer progression, tissue development, and inflammatory skin disorders. Main expertise: Cell- and molecular biology, advanced light microscopy, and computer-based image analyses. |
We combine experimental cell biology, mathematical modeling, and physical theory to explore cellular dynamics and uncover mechanisms that can improve health and treatment regimens. With expertise in advanced light microscopy - including live cell imaging, high-content imaging, and multiplex imaging - we aim to understand cellular mechanisms to determine the best ways to manipulate or stimulate impaired processes in disease contexts, ultimately enhancing therapeutic outcomes. Our work bridges basic science with clinical applications, addressing challenges in health and disease. |
Ageing, Machine learnring, AI, Multi-omics data, Longitudinal, Age-related diseases |
Age is the primary cause and risk factor for the majority of diseases, slowing down aging has huge personal and societal benefits by minimizing the disease burden that comes with aging process. We aim to develop a framework for personalised healthy aging interventions using machine-learrning to intergrate longitudinal clinical data and multiomic data. |
|
Real-World Data, Pharmacoepidemiology, Pharmacology, Women's health, Pregnancy, Neurosciences |
Norway is home to some of the world's most comprehensive and well-maintained health care registries. These registries contain valuable data on patient demographics, diagnoses, treatments, and outcomes, and represent a tremendous opportunity for researchers to gain insight into the effectiveness and safety of pharmaceuticals for patients in real-world settings. A convergence environment would have the potential to improving accessibility, interoperability and efficiency of Norwegian health care data for health research, education and innovation. |
|
clinical proteomics, mass spectrometry, spatial proteomics, personalised medicine |
Proteomics is the ‘large scale study of proteins’, and proteome level information is critically important in biomedical research. Recent advances in mass spectrometry (MS)-based proteomics have opened the way to widespread use of proteomics in clinical applications and personalized medicine. Also, new MS-based approaches for profiling the spatial proteome/lipidome/metabolome in tissues are important for understanding biological complexity in health and disease. Here, I propose an interdisciplinary project utilizing novel proteomics techniques to exploit the power of proteomics to address challenges in personalized medicine. |
|
Deo Pandey |
Cancer research, epigenetics and transcription, kinases and kinase inhibitors, drug discovery |
The aim is to advance our understanding of the molecular underpinnings of addiction and develop targeted therapies, addressing a critical and growing public health crisis with profound social and economic impacts. We will leverage advanced molecular biology techniques to identify and characterize shared molecular pathways, using drug screening and genetic approaches to pinpoint therapeutic targets. By integrating insights into cellular signaling, gene regulation, and pharmacological interventions, this collaborative effort seeks to drive the development of precision therapies for addiction disorders. |
John N. Parker |
I am a sociologist of science with expertise in how to best create the kinds of organizations, groups, and social interactions that best facilitate creative interdisciplinary research. My interest is in joining a team to help them plan how they might best organize themselves for interdisciplinary success. |
|
Ida Robertsen |
Pharmacokinetics, pharmacology, drugs and the gut microbiome, clinical trials, kidney transplantation |
|
Molecular and cell biology of stress signaling, Cancer biology - mechanisms, identification of biomarkers and novel therapies, Physiological and molecular/cell biological effects of mind/body practices |
Center for stress research |
|
Cancer epigenetics, gene expression control, enhancer malfunction and epigenome reprogramming by transcription factors, next-generation sequencing and single cell multomics |
Understand the role of non-genetic mechanisms such as enhancer and epigenome reprogramming in cancer initiation, progression, metastasis and treatment resistance. Using high resolution enhancer landscapes in accessible chromatin and gene expression data from single cell analysis. |
|
Biomarkers in white and red lesions in oral cavity and oral cancer; quality of life in patients with white and red lesions in oral cavity and oral cancer, development of in vitro models of oral mucosa/oral cancer for functional studies, drug testing |
||
Bano Singh |
1. Innovative treatment of patients who lose their sense of smell and/or taste due to different causes. 2. Innovative treatment of patients with oral burning sensation. 3. Understanding how brain processes smell, taste and oral pain. |
|
Computational biology, cancer biology, data science |
||
Translational and clinical cardiac research; electrophysiology and arrhythmology; cardiac arrest and sudden cardiac death; catheter ablation; device treatment |
Multidisciplinary approach to cardiac arrest and sudden cardiac death - from molecular to psycological aspects. A combination of approaches to a societal problem, from causes to treatment and coping. |
|
Joanna Sulkowska |
Precision cardiology |
|
Biomarkers in oral cancer and potential malignant lesions in the oral cavity. Exstracellular vesicles in tumor-host interactions. Oral pathology/histopathology. |
||
Henrik Vogt |
Personalized/precision medicine, Systems medicine, Digital health, Health technology assessment, Research ethics, Precision public health, General practice |
|
Statistical learning/ machine learning (ML) and AI for translational and clinical cancer research, in particular for personalised cancer therapies. Integration of data from diverse sources (multi-omics, drug screens, clinical, imaging, genomics) for prediction of drug response and synergies in pharmacogenomic screens and of prognosis and treatment response in patients. Machine learning for small and noisy (biomedical) data, e.g. through integration of knowledge and structure in ML. |
AI and robotics for personalised cancer medicine: Next-generation pipelines and tools for overcoming drug resistance in cancer by studying the full dynamics and evolution of the tumor and its environment in large-scale screens, in vitro, in vivo and in silico. |
Innovative health technologies and drug development
Name | Research topic(s) of interest and/or competence |
Title or short description (2-3 sentences) of initial |
---|---|---|
Physical modelling of biological systems, Complex systems, Active matter, Biophysics |
||
Lifespan, Ageing, interdisiplinarity. |
Discovery of new mechanisms and of ways to delay the speed of ageing based on the new mechanistic insights. New ways to integrate humanities and social sciences with biology for present and yet unknown future demands to achieve healthy, happy and meaningful ageing. The novel mechanisms unveiled, novel interventions, and unique interdisciplinary approach will make the NO-Age Centre stand out as an internationally leading research environment. |
|
Melinka Butenko |
Signalling systems, toxins, structural biology, peptide activity, plant pathogen interactions. |
|
Advanced light microscopy, biomechanics, active matter physics, cell migration, tissue regeneration, cell biology |
||
Ulysse C?té-Allard |
Machine learning, wearable, human-computer interface, digital biomarkers |
Health state recognition and trajectory prediction. |
Bj?rn Dalhus |
Structural biology, molecular interactions, drug design, enzyme inhibitors, peptide drug design, molecular modeling. Cancer, antimicrobial resistance, neurodegenerative diseases, DNA repair. |
We have experiences in recombinant protein production and purification, protein stability and interaction studies. Several technologies for drug-target interaction studies, drug-target affinities, 3D modeling of molecular interactions and drug-target optimization. Of particular interest are cancer, antimicrobial resistance and neurodegenerative diseases. |
Nina Edin |
Radiation physics, radiobiology |
Convergence environment on Radiation and Health |
Jorrit Enserink |
Immunotherapy; prediction of outcome; cancer heterogeneity; patient stratification; drug screening; leukemia |
Immunotherapy can provide remarkable clinical benefit to cancer patients; however, only a subset of patients responds to immunotherapeutic treatment. Being able to differentiate between responders and non-responders will have a major impact on the accuracy of patient stratification and thereby on treatment outcome. The goal of our environment will be to bring together experts in the field of cancer biology, mathematical modeling, and law/ethics to develop novel personalised medicine methods for immunotherapeutic treatment of a variety of cancer types. |
Camila Esguerra |
Disease models, Drug discovery, Tissue xenografting, Toxicology |
|
Steffen Maude Fagerland |
fNIRS, fMRI, brain training |
|
Healthy longevity; hallmarks of ageing; dementia; population ageing |
interested in healthy longevity though the study of the mechanisms of ageing and the use of AI + wet lab techniques to propel drug development. |
|
Philosophy of medicine; Philosophy of science in practice. |
Knowledge gaps and epistemic injustice in medical research. |
|
Osman Gani |
Computer-aided drug design (CADD). Molecular Modeling |
|
Inborn Errors of Immunity, Genetics, gene editing, T cell CRISPR, hematopoietic stem cell CRISPR |
My lab is developing clinical protocols for T cell and hematopoietic stem cell correction in genetic blood diseases; these include inborn errors of immunity and certain inherited anemias and platelet disorders. We aim to establish a disease-independent system which can correct patient-specific mutations in autologous T cells and stem cells, which can then be infused back as an autotransplant. |
|
Drug discovery/drug development, neuroscience, molecular and cellular mechanisms of chronic pain, life science and social aspects of pain management, drug use and substance abuse, CNS-inflammation and its resolution by lipid mediators. |
Studies of cellular and biomolecular processes in neuroinflammation pain |
|
surfaces, cell adhesion, implants |
||
Marianne Hiorth |
Pharmaceutical technology, nanotechnology, new advanced drug delivery systems |
We are dedicated to developing new drug delivery systems. Our goal is to optimize drug release profiles and improve therapeutic efficacy while minimizing side effects. We are developing various administration systems, including gels, microparticles, and liposomes and possess extensive experience in nanotechnology. Our interests cover multiple routes of administration, with a particular focus on drug delivery to the oral cavity and wound healing. However, we are open to explore any sites that involve formulation of a new drug delivery system. |
Sandip Kanse |
Inflammation, Innate immunity, Stroke, Thrombosis, Vascular biology, Organoids, Risk factors, Treatment Animal models, Proteases, Biochemistry |
|
Stefan Krauss |
organoids, organ models, microphysiological systems |
Stem cell derived embryo models for in vitro organogenesis |
Mathematical modeling, knowledge-driven machine learning, digital twins, personalized cancer therapies, biomarkers, genomics, medical imaging. |
Personalized cancer therapy integrating multi-type clinical data, biological experimentation, mechanistic mathematical models and artificial intelligence. |
|
Angela Lupattelli |
Drug repurposing, psychiatry, early life drug exposure |
Drug repurposing for difficult-to-treat mental disorders across the life-course, including assessment of personalized drug treatment approaches based on genetic predisposition |
Emma L?ng |
Main interests: wound healing, cancer progression, tissue development, and inflammatory skin disorders. Main expertise: Cell- and molecular biology, advanced light microscopy, and computer-based image analyses. |
We combine experimental cell biology, mathematical modeling, and physical theory to explore cellular dynamics and uncover mechanisms that can improve health and treatment regimens. With expertise in advanced light microscopy - including live cell imaging, high-content imaging, and multiplex imaging - we aim to understand cellular mechanisms to determine the best ways to manipulate or stimulate impaired processes in disease contexts, ultimately enhancing therapeutic outcomes. Our work bridges basic science with clinical applications, addressing challenges in health and disease. |
Anders Malthe-S?rensen |
Neuroscience, gene therapy, de novo protein design, machine learning, docking simulations |
Our goal is to develop a platform technology for gene therapies for central nervous system diseases combining generative AI models for construct and capsid development, in vitro and in vivo experimental pipelines, and an integral RRI approach to address fundamental relevant ethical issues. |
Cecilie Morland |
Stroke |
Preclinical development of new stroke treatment |
Ola Nilsen |
Design of coating materials, thin films. Organic- inorganic coatings. Porous materials. Cell growth, antimicrobial surfaces. |
|
clinical proteomics, mass spectrometry, spatial proteomics, personalised medicine |
Proteomics is the ‘large scale study of proteins’, and proteome level information is critically important in biomedical research. Recent advances in mass spectrometry (MS)-based proteomics have opened the way to widespread use of proteomics in clinical applications and personalized medicine. Also, new MS-based approaches for profiling the spatial proteome/lipidome/metabolome in tissues are important for understanding biological complexity in health and disease. Here, I propose an interdisciplinary project utilizing novel proteomics techniques to exploit the power of proteomics to address challenges in personalized medicine. |
|
Deo Pandey |
Cancer research, epigenetics and transcription, kinases and kinase inhibitors, drug discovery |
The aim is to advance our understanding of the molecular underpinnings of addiction and develop targeted therapies, addressing a critical and growing public health crisis with profound social and economic impacts. We will leverage advanced molecular biology techniques to identify and characterize shared molecular pathways, using drug screening and genetic approaches to pinpoint therapeutic targets. By integrating insights into cellular signaling, gene regulation, and pharmacological interventions, this collaborative effort seeks to drive the development of precision therapies for addiction disorders. |
John N. Parker |
I am a sociologist of science with expertise in how to best create the kinds of organizations, groups, and social interactions that best facilitate creative interdisciplinary research. My interest is in joining a team to help them plan how they might best organize themselves for interdisciplinary success. |
|
microsampling, dried blood spots, advanced protein determination (using LC-MS) from biological samples, innovative sampling, complex sample preparation integrated in paper (smart sampling), targeted protein determination, analytical chemistry |
Our research is focused on revolutionizing the workflow for LC-MS-based protein determination by integrating traditionally tedious sample preparation steps directly into the paper used for collecting dried blood samples or other microsampling devices (smart sampling). This innovative method leverages the significant advantages of dried blood samples, which can be collected in virtually any environment without the need for trained personnel. Upon receipt of the dried samples in the laboratory, we streamline and enhance protein analysis using advanced LC-MS techniques. By embedding preparation steps into the sampling paper itself, we significantly reduce both time (up to several days) and labor, while seamlessly maintaining the existing workflow from sample collection to analysis. We are seeking to collaborate with groups that recognize the potential of this approach and are interested in implementing smart sampling in their workflow. |
|
Cellular mechanisms in stroke |
Preclinical development of new stroke treatment |
|
Ida Robertsen |
Pharmacokinetics, pharmacology, drugs and the gut microbiome, clinical trials, kidney transplantation |
|
Molecular and cell biology of stress signaling, Cancer biology - mechanisms, identification of biomarkers and novel therapies, Physiological and molecular/cell biological effects of mind/body practices |
Center for stress research |
|
Cancer epigenetics, gene expression control, enhancer malfunction and epigenome reprogramming by transcription factors, next-generation sequencing and single cell multomics |
Understand the role of non-genetic mechanisms such as enhancer and epigenome reprogramming in cancer initiation, progression, metastasis and treatment resistance. Using high resolution enhancer landscapes in accessible chromatin and gene expression data from single cell analysis. |
|
Biomarkers in white and red lesions in oral cavity and oral cancer; quality of life in patients with white and red lesions in oral cavity and oral cancer, development of in vitro models of oral mucosa/oral cancer for functional studies, drug testing |
||
chromatin, structural biology, cryoEM, protein engineering, drug discovery, mapping Ab-Ag interactions |
We have experience in the purification and structural characterisation of proteins. We have technology for mapping protein-drug interactions and can assist in the development of protein targets and/or biologics with increased potency or binding affinity. |
|
Bano Singh |
1. Innovative treatment of patients who lose their sense of smell and/or taste due to different causes. 2. Innovative treatment of patients with oral burning sensation. 3. Understanding how brain processes smell, taste and oral pain. |
|
Neuroscience, microscopy, in vivo cellular imaging, mouse behavior and psychophysics, computational statistics, optogenetics, eye tracking, olfaction, visual and auditory physiology, learning and memory, Alzheimer's disease, brain tumours, sleep. |
||
Health and society
Name | Research topic(s) of interest and/or competence |
Title or short description (2-3 sentences) of initial |
---|---|---|
Physical modelling of biological systems, Complex systems, Active matter, Biophysics |
||
Lifespan, Ageing, interdisiplinarity. |
Discovery of new mechanisms and of ways to delay the speed of ageing based on the new mechanistic insights. New ways to integrate humanities and social sciences with biology for present and yet unknown future demands to achieve healthy, happy and meaningful ageing. The novel mechanisms unveiled, novel interventions, and unique interdisciplinary approach will make the NO-Age Centre stand out as an internationally leading research environment. |
|
Ageing, Machine learning, AI, multi omics, longitudinal data |
Healthy ageing – Prevention is better than cure. Using clinical data and biomaterial we want to define signatures in the general population that characterises ageing driven DNA damage. |
|
Nina Edin |
Radiation physics, radiobiology |
Convergence environment on Radiation and Health |
Camila Esguerra |
Disease models, Drug discovery, Tissue xenografting, Toxicology |
|
Healthy longevity; hallmarks of ageing; dementia; population ageing |
interested in healthy longevity though the study of the mechanisms of ageing and the use of AI + wet lab techniques to propel drug development. |
|
Philosophy of medicine; Philosophy of science in practice. |
Knowledge gaps and epistemic injustice in medical research. |
|
Drug discovery/drug development, neuroscience, molecular and cellular mechanisms of chronic pain, life science and social aspects of pain management, drug use and substance abuse, CNS-inflammation and its resolution by lipid mediators. |
Studies of cellular and biomolecular processes in neuroinflammation pain |
|
surfaces, cell adhesion, implants |
||
Sandip Kanse |
Inflammation, Innate immunity, Stroke, Thrombosis, Vascular biology, Organoids, Risk factors, Treatment Animal models, Proteases, Biochemistry |
|
Depression, stress, psychobiology, psychoneuroimmunology, psychosomatics |
Several options possible based on potential collaborators' orientation and interests. I have ongoing projects (with focus on above topics of interest/competence) with multiple existing datasets, both clinical and population-based, ranging from 100 to ca. 500,000 individuals. Most samples include biomaterial banks (serum, plasma, whole blood, placental tissue, hair). |
|
Siri Leknes |
Applying psychology to understand health consequences of clinical decisions and clinical encounters, Opioid effects; pain; addiction; anaestesia, Affective neuroscience, social neuroscience |
Applying psychology to understand consequences of clinical decisions |
Julien Mayor |
Language acquisition, cognitive development, eye-tracking, language assessments, online data collection |
How does variability in the learning environment impact language acquisition? We plan on looking into sources of variability in the learning environment of young children (dialects, languages, contexts, etc) and their impact on early language development, as well as on their potential effect on language delays and impairments. |
Ageing, Machine learnring, AI, Multi-omics data, Longitudinal, Age-related diseases |
Age is the primary cause and risk factor for the majority of diseases, slowing down aging has huge personal and societal benefits by minimizing the disease burden that comes with aging process. We aim to develop a framework for personalised healthy aging interventions using machine-learrning to intergrate longitudinal clinical data and multiomic data. |
|
Real-World Data, Pharmacoepidemiology, Pharmacology, Women's health, Pregnancy, Neurosciences |
Norway is home to some of the world's most comprehensive and well-maintained health care registries. These registries contain valuable data on patient demographics, diagnoses, treatments, and outcomes, and represent a tremendous opportunity for researchers to gain insight into the effectiveness and safety of pharmaceuticals for patients in real-world settings. A convergence environment would have the potential to improving accessibility, interoperability and efficiency of Norwegian health care data for health research, education and innovation. |
|
John N. Parker |
I am a sociologist of science with expertise in how to best create the kinds of organizations, groups, and social interactions that best facilitate creative interdisciplinary research. My interest is in joining a team to help them plan how they might best organize themselves for interdisciplinary success. |
|
Ragnhild Paulsen |
Developmental neurotoxicity |
Opioid effects in the brain and society |
Ida Robertsen |
Pharmacokinetics, pharmacology, drugs and the gut microbiome, clinical trials, kidney transplantation |
|
Molecular and cell biology of stress signaling, Cancer biology - mechanisms, identification of biomarkers and novel therapies, Physiological and molecular/cell biological effects of mind/body practices |
Center for stress research |
|
Genetic research, education, mental and physical health, register data, causal inference, inclusion and diversity, sociogenomics. |
How to achieve equality and inclusion in the face of growing societal challenges? Interdisciplinary project (economics of education and health, sociology, psychology and genetic epidemiology) combining methodological approaches (experimental, quasi-experimental, machine learning and genetically sensitive designs) and unparalleled data linkage (register data and detailed survey and genomic family data). |
|
Biomarkers in white and red lesions in oral cavity and oral cancer; quality of life in patients with white and red lesions in oral cavity and oral cancer, development of in vitro models of oral mucosa/oral cancer for functional studies, drug testing |
||
Bano Singh |
1. Innovative treatment of patients who lose their sense of smell and/or taste due to different causes. 2. Innovative treatment of patients with oral burning sensation. 3. Understanding how brain processes smell, taste and oral pain. |
|
Translational and clinical cardiac research; electrophysiology and arrhythmology; cardiac arrest and sudden cardiac death; catheter ablation; device treatment |
Multidisciplinary approach to cardiac arrest and sudden cardiac death - from molecular to psycological aspects. A combination of approaches to a societal problem, from causes to treatment and coping. |
|
Biomarkers in oral cancer and potential malignant lesions in the oral cavity. Exstracellular vesicles in tumor-host interactions. Oral pathology/histopathology. |
||
Brain development, adolescents, mental health, MRI, environmental factors |
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Henrik Vogt |
Personalized/precision medicine, Systems medicine, Digital health, Health technology assessment, Research ethics, Precision public health, General practice |
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