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Mats Danielsson is a Professor at KTH Royal Institute of Technology, leading the Medical Imaging research group within the Department of Particle Astrophysics and Medical Imaging. He has coordinated major projects like the ERC Advanced Grant for the Si3 project (starting 2024) and the EIC Pathfinder's 1MICRON project (starting 2025). His work focuses on advancing photon-counting detectors, X-ray technologies, and medical imaging systems. Notable recognitions include the 2024 KTH Innovation Award and the 2022 Hans Wigzell Science Prize. Danielsson has co-founded companies such as Sectra Mamea AB and C-RAD AB, and holds 135 patents with over 150 scientific publications. Education: MSc (1990) and PhD (1996) from KTH, followed by postdoctoral research at Lawrence Berkeley National Lab (1996–1998). He joined KTH in 1999, where he has held his current professorship since then. His research spans medical imaging, detector innovation, and radiation physics applications in healthcare. Research Interests: Development of high-resolution CT detectors, photon-counting technologies, compact X-ray sources, and AI-driven image processing. His recent work emphasizes minimizing radiation exposure while enhancing diagnostic precision through novel detector designs and machine learning algorithms. Key Projects: ERC Si3 project (3D detector for nuclear medicine), EIC 1MICRON (micrometer-scale imaging), and MedTechLabs collaboration with Karolinska Institutet. He has pioneered innovations such as MicroDose mammography and advanced photon-counting spectral CT systems. Awards: KTH Innovation Award (2024), Hans Wigzell Prize (2022), IVA membership (2017), Polhem finalist (2014), and INGVAR Award (2004). Advising & Grants: Over 150 scientific publications, 135 patents, and leadership in multi-institutional projects. Teaches courses on medical imaging and modern physics at KTH. Labs/Teams: Director of the Medical Imaging Group at KTH, co-founder of MedTechLabs, and collaborator across academia and industry in medical imaging innovation.

• Medical Imaging
• Radiation Detectors
• Biomedical Engineering
• +3 more

Christian Lindh is an active Associate Professor and Senior Lecturer at Lund University's Division of Occupational and Environmental Medicine. He serves as Research Team Manager for Applied Mass Spectrometry in Environmental Medicine and is affiliated with EpiHealth: Epidemiology for Health. His research focuses on environmental and occupational exposures and their health impacts, with particular expertise in biomonitoring and analytical chemistry. His research interests span Occupational Health , Environmental Health , Analytical Chemistry , Exposure Assessment , and Epidemiology . Lindh specializes in studying human exposure to environmental pollutants including PFAS, heavy metals, phthalates, and polycyclic aromatic hydrocarbons, with particular focus on vulnerable populations such as pregnant women and children. His work contributes to UN Sustainable Development Goals related to health and environmental protection. Analysis of his recent publications reveals a strong focus on environmental epidemiology, particularly examining PFAS exposure patterns, heavy metal toxicity, and the health impacts of environmental contaminants across different life stages. His research employs advanced analytical techniques, particularly mass spectrometry, to precisely measure exposure levels and investigate dose-response relationships. Lindh has secured significant research funding, currently leading projects including 'Temporal Trends in Lead, Mercury, and Cadmium Levels in Children' (Swedish Environmental Protection Agency, 2025-2026) and 'Trade-offs between food safety and food security' (FORMAS, 2024-2027). He serves as Principal Investigator on multiple active research projects totaling 15, with 7 currently active and 7 completed. As Manager of the 'Targeted Exposomics at Lund University' infrastructure, Lindh leads the Applied Mass Spectrometry in Environmental Medicine research team. His work bridges analytical chemistry with public health research, developing methodologies to assess human exposure to environmental chemicals and evaluating their health consequences through epidemiological studies.

• Occupational Health
• Environmental Health
• Analytical Chemistry
• +5 more

Lisa Westerberg is a Professor of Experimental Immunology at the Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet. Her research focuses on understanding how compromised immune systems lead to immunodeficiency, autoimmunity, and hematological cancers, particularly studying the role of actin regulators in immune cell function. She leads the 'Immunodeficiency Diseases – Lisa Westerberg Group' and collaborates internationally with institutions like Harvard Medical School and the University College London. Education: PhD in Cell and Molecular Biology from Karolinska Institutet (2003), postdoc at Harvard Medical School (2009). Affiliations: Department of Microbiology, Tumor and Cell Biology; WASPSTINGS network (STINT-funded); Swedish Society for Immunology (Treasurer). Research Interests: Immunodeficiency diseases, actin cytoskeleton dynamics in immune cells, cancer immunology, and space immunology. Her lab investigates how genetic mutations in actin regulators affect immune cell communication, migration, and genomic stability. Recent projects include studying immune system adaptation in microgravity and developing therapies targeting actin regulators in cancer. Articles Trends: Recent work highlights immune cell adaptations in space environments, therapeutic modulation of actin pathways, and clonal evolution in lymphomas. Over 15 articles since 2020 explore mechanisms linking immune dysfunction to cancer and immunodeficiency. Awards: Ragnar Söderberg Fellowship, ERC Starting Grant (2019), Wallenberg Academy Fellow. Funding: Swedish Research Council, Knut och Alice Wallenberg Foundation, EU grants. Advising & Grants: Supervised over 40 students (PhD, Master’s, undergrad) since 2010. Active in training programs like the Amgen Scholars initiative. Collaborates with global teams on projects funded by VR, NIH, and international partnerships. Labs/Teams: Leads the core Immunodeficiency Diseases Group and collaborates with the Dosenovic Lab (focusing on B cell vaccine development). The group uses CRISPR, high-resolution microscopy, and single-cell sequencing to study immune mechanisms.

• Immunodeficiency Diseases
• Actin Regulators in Immune Cells
• Autoimmunity
• +3 more

Brinton Seashore-Ludlow is an Associate Professor at the Department of Oncology-Pathology, Karolinska Institute (KI), where he serves as team leader in Olli Kallioniemi's research group and group leader of the biology team at Chemical Biology Consortium Sweden (CBCS), SciLifeLab's national infrastructure. PhD in Biochemistry, KTH Royal Institute of Technology (2012) MSc in Chemical Biology, California Institute of Technology (2007) BA in Biochemistry, Macalester College (2001) His research bridges precision medicine and cancer biology through: Developing ex vivo patient-derived models for drug response prediction Molecular determinants of therapeutic efficacy Integration of high-content imaging with translational studies Focus on ovarian, breast, and pediatric cancers AI-driven analysis of drug sensitivity data Recent articles demonstrate: 3D tumor spheroid platforms for drug testing Epigenetic regulators in neuroblastoma Microfluidics for high-throughput assays Cancer-stroma interactions in treatment resistance Clinical validation of precision diagnostics He co-organizes the Overview Course in Cancer Drug Discovery at KI and leads projects funded by the Swedish Childhood Cancer Foundation.

• Precision Medicine
• Cancer Biology
• Drug Discovery
• +5 more

Tobias Sjöblom serves as Professor and Head of Department at Uppsala University's Department of Immunology, Genetics and Pathology, where he leads the Cancer Precision Medicine research program. His work bridges clinical oncology and molecular biology, with particular focus on translating genomic findings into clinical applications for cancer patients. His research interests center on cancer genomics, precision medicine, and molecular diagnostics, with extensive work on colorectal cancer biology and treatment. Sjöblom's laboratory investigates how genetic variations influence cancer development, progression, and response to therapy, particularly focusing on pharmacogenomic biomarkers that can guide personalized treatment decisions. His work spans from basic molecular mechanisms to clinical applications, with strong emphasis on translating research findings into clinical practice. Analyzing his recent publication record reveals a clear trajectory toward precision oncology applications, with increasing focus on liquid biopsy technologies, AI-assisted diagnostics, and biomarker-driven treatment strategies. His research demonstrates a consistent pattern of investigating how specific genetic alterations (particularly in NAT2, CYP2D6, and other metabolic enzymes) can be leveraged for targeted cancer therapies. The interdisciplinary nature of his work is evident in collaborations spanning molecular biology, clinical oncology, bioinformatics, and medical imaging. Sjöblom has established significant research infrastructure through initiatives like the U-CAN biobank, creating valuable resources for cancer research across Sweden. His leadership extends to developing novel methodologies for cancer genomics and diagnostics, including advanced techniques for mutation detection and tissue analysis. His laboratory maintains strong clinical connections, working closely with oncologists and surgeons to ensure research questions address real clinical challenges. This translational approach has resulted in numerous publications in high-impact journals including Nature, Science, and Cell Death and Disease, demonstrating the significance and quality of his contributions to cancer research.

• Cancer Genomics
• Precision Medicine
• Colorectal Cancer Research
• +5 more

Magnus Boman is a Professor of AI and Health at the Department of Medicine, Solna, Karolinska Institutet (KI), where he leads the AI@KI initiative to support researchers in AI integration. He is affiliated with the Chronic Inflammatory Disease Epidemiology research group under Johan Askling. His research focuses on AI applications in precision medicine, multimodal prediction, ethical norms in AI systems, energy-efficient computing, and quantum sensor data interpretation. Research Interests: Artificial Intelligence in healthcare and precision medicine Multimodal data analysis for disease prediction and treatment Machine learning for clinical decision support systems Ethical and societal implications of AI Grants: Swedish Research Council: Improving breast cancer histology image classification (2024-2026) Scalable Federated Learning (2022-2025) Ai in sustainable cities (VINNOVA, 2019) Advising & Students: Supervised over 50 PhD and Master's students across KI, KTH, and Stockholm University, focusing on AI applications in healthcare, machine learning, and computational epidemiology. Notable projects include predictive modeling for mental health outcomes and variant filtering in genetic data. Labs & Teams: Leads AI@KI, fostering AI adoption in medical research. Collaborates with the Johan Askling group on epidemiology and chronic disease studies.

• Artificial Intelligence in Healthcare
• Precision Medicine
• Machine Learning Applications in Healthcare
• +5 more

Jim Dowling is a distributed systems researcher at KTH Royal Institute of Technology, focusing on large-scale distributed systems, machine learning, and big data. His work emphasizes improving system dependability, performance, security, and scalability through middleware, peer-to-peer systems, and cloud-native solutions. He leads courses such as Advanced Course in Large Scale Machine Learning and Deep Learning and Scalable Machine Learning and Deep Learning , demonstrating his commitment to education in AI and distributed computing. His research spans topics like feature stores, Kubernetes integration, and AI-driven environmental analytics (e.g., ANIARA project for edge infrastructure automation and ExtremeEarth for Copernicus data analysis). He has contributed to scalable ML pipelines, cloud storage systems (HopsFS-S3), and hyperparameter optimization tools like Maggy. Key projects include the Hopsworks platform for machine learning operations and the development of cloud-native tools for big data analytics. His work bridges theoretical distributed systems research with practical applications in AI, healthcare, and environmental science. He has advised on numerous collaborative initiatives but no formal students are listed. His grants and lab activities are centered around Hopsworks and the ANIARA project, reflecting his focus on scalable, self-managing systems.

• Distributed Systems
• Machine Learning
• Big Data
• +3 more

Zelmina Lubovac is a Senior Lecturer in BioInformatics at the School of Bioscience, University of Skövde. She serves as both a Course Coordinator for multiple undergraduate and graduate courses in bioinformatics and a Programme Coordinator for Master's level programs. Her academic work focuses on the intersection of computational methods and biological applications, particularly in disease analysis and biomarker discovery. Dr. Lubovac's research spans several key areas in bioinformatics and systems biology: Disease module identification in complex biological networks Multi-omics integration (genomics, proteomics, metabolomics) for biomarker discovery Machine learning applications in RNA-seq and other high-throughput biological data Development of bioinformatics software tools for network analysis miRNA analysis in cancer and neurological disorders Her recent publications (2022-2024) demonstrate a strong focus on applying computational approaches to understand disease mechanisms, particularly in pancreatic cancer and multiple sclerosis. She has developed several widely-used bioinformatics tools including MODalyseR, MODifieR, and TFTenricher that facilitate disease module analysis and gene network interpretation. Her work often involves collaborative research with clinical teams to translate computational findings into potential diagnostic applications. Dr. Lubovac has been involved in significant research projects including: BIO-AID (Biomedical AI-driven data analytics): Oct 2020 - Sep 2024 Systems Biology DMDPipe: Mar 2018 - Feb 2021 She actively contributes to both undergraduate and graduate education at the University of Skövde, coordinating multiple courses and programs in bioinformatics and bioscience, with a clear emphasis on preparing students for careers at the intersection of biology and computational science.

• Bioinformatics
• Systems Biology
• Disease Module Identification
• +6 more

Zenun Kastrati is an Associate Professor at the Department of Informatics, Linnaeus University. His research focuses on Artificial Intelligence, Natural Language Processing, Machine Learning, Semantic Web, Sentiment Analysis, and Learning Technologies. He contributes to the Data-driven Business Innovation (DBI) and Interaction Design Research Groups, leading projects like Forest 4.0, RAPID, and IGNITE. His recent work involves Explainable AI, medical imaging, and multilingual NLP. Ph.D. in Computer Science (NTNU, 2018) Master's in Computer Science (EU TEMPUS Programme) Previous Lecturer/Researcher at University of Prishtina His research spans AI applications in medical diagnostics , NLP , sentiment analysis , and semantic technologies . Key projects include Forest 4.0 (environment monitoring) and RAPID (online education in Pakistan). Publications highlight his expertise in deep learning , transformer models , and context-aware systems . Recent publications demonstrate trends in Explainable AI (XAI) for healthcare, medical imaging techniques, and multilingual NLP frameworks. Other work explores social media analytics , student feedback analysis , and pedagogical document classification . Zenun's teaching includes Fundamentals of Programming , Object-Oriented Programming , Web Applications , Data Analytics , and Adaptive Web courses at BSc and MSc levels.

• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +4 more

Tony Ingesson is a Senior Lecturer in the Department of Political Science at Lund University, specializing in intelligence analysis, counter-espionage, and military decision-making. With a background in the Swedish Armed Forces where he worked with technical data acquisition for airborne weapons systems and communications, he brings practical military experience to his academic work. His research interests span intelligence analysis methodologies, counterintelligence operations, deception and manipulation at tactical levels, clandestine communications, and industrial espionage. Ingesson has developed a particular expertise in how psychological mechanisms and biases influence intelligence analysis, as well as the historical connections between military conscription and democratization. His work bridges theoretical political science with practical security applications. Analysis of his recent publications reveals a strong focus on contemporary security challenges, particularly the intersection of traditional and emerging technologies in intelligence operations. His work examines how historical communication methods persist in modern conflicts, the evolving nature of espionage in high-trust societies like Sweden, and the application of intelligence analysis techniques to non-traditional fields such as precision oncology. Ingesson demonstrates consistent scholarly output across both academic journals and public-facing platforms like The Conversation, indicating his commitment to making complex security issues accessible to broader audiences. Ingesson actively participates in interdisciplinary research projects, including 'Clandestine Communications: Old Technologies, New Opportunities' and 'Greyzone genomics' at the Pufendorf IAS. His teaching portfolio encompasses political science methods, intelligence analysis techniques, counterterrorism, and deception studies, reflecting the breadth of his expertise. While specific details about student advising aren't provided in the available information, his role as Senior Lecturer indicates involvement in mentoring students through his teaching responsibilities. His research team involvement includes collaboration with researchers like Magnus Andersson on clandestine communications and David Gisselsson Nord on the intersection of genomics and security. These collaborations demonstrate his ability to bridge disciplinary boundaries while maintaining focus on core intelligence and security issues.

• Intelligence Analysis
• Counter-espionage
• Military Decision-Making
• +4 more

Professor Maria Eriksdotter is a leading academic in geriatrics and dementia research at the Karolinska Institutet , holding the Department of Neurobiology, Care Sciences and Society . She also serves as a Senior Consultant in Themes Inflammation and Ageing at Karolinska University Hospital Huddinge and previously as Dean of KI South (2019–2023). Her work spans translational research, clinical trials, and national registry development, with a focus on Alzheimer's disease, cholinergic therapies, and aging. Her research group pioneered NGF cell therapy for Alzheimer's patients, demonstrating safety and cognitive stabilization in clinical trials. She chairs the SveDem registry , tracking over 100,000 dementia patients to refine diagnostics and care. Studies from SveDem revealed mortality reduction with cholinesterase inhibitors and highlighted pandemic-era diagnostic delays. Recent publications analyze dementia subtypes , comorbidities , and precision medicine in neurodegeneration. Her work intersects neuroimaging , epidemiology , and public health policy , addressing ageism and improving geriatric care systems. Collaborations span Karolinska University Hospital , NSGene Inc , and international institutions.

• Alzheimer's Disease
• Geriatrics
• Dementia
• +6 more

Anna Johansson is an Assistant Professor at the Karolinska Institutet , leading research in cancer epidemiology and biostatistics at the Department of Medical Epidemiology and Biostatistics . She serves as a Docent and group leader, with affiliations at Karolinska University Hospital, Capio St Göran Hospital, and Uppsala University Hospital. Research Interests: Her work spans Cancer epidemiology with focus on breast cancer Reproductive factors and cancer risk Socioeconomic inequalities in healthcare Applied biostatistics and register-based methods Nordic cross-country collaborations Recent Article Trends show emphases on Nordic cancer survival comparisons Pregnancy-associated cancer outcomes Stage-specific mortality analysis Impact of healthcare disruptions Statistical methods for registry data Fertility preservation in oncology Scientific Awards Senior Investigator Award, Swedish Cancer Society Teaching & Mentorship includes survival analysis, epidemiological designs, and data management workshops within the Karolinska Doctoral Programme. She supervises PhD students in cancer and reproductive epidemiology. Collaborative Networks extend to the Nordic Cancer Union, Cancer Registry of Norway, and clinical research teams across Sweden and the Nordic region.

• Cancer Epidemiology
• Breast Cancer
• Reproductive Epidemiology
• +3 more

Dirk Repsilber is a Professor of Medical Science at Örebro University, specializing in functional bioinformatics. He leads research on molecular patterns in patients to improve diagnosis and treatment. Born in Lübeck, Germany, he earned his PhD in ecological genetics from the University of Hamburg and held postdoctoral roles at institutions across Sweden and Germany. His work integrates bioinformatics, biostatistics, and clinical collaboration to address complex biological systems. Education: PhD in Ecological Genetics (University of Hamburg, 1999), postdoctoral training at Uppsala University and SLU, followed by roles at German institutions including Lübeck, Potsdam, Rostock, and Örebro. Research Interests: Molecular networks, biosignature development, systems biology approaches to genotype-phenotype mapping, and interdisciplinary collaborations in medicine, statistics, and computer science. Key Projects: BIO IBD (biomarker discovery in inflammatory bowel disease), Cell Painting for toxicity assessment, and systems-level immunomonitoring in pediatric oncology. Active in cross-disciplinary teams like the Center for Life Sciences Nutrition-Gut-Brain Interactions. Teaching & Supervision: Cross-disciplinary courses in bioinformatics, statistical counseling, and supervision of PhD students in diverse fields. Emphasizes problem-based learning and communication skills across disciplines.

• Functional Bioinformatics
• Molecular Networks
• Medical Data Analysis
• +5 more

Christer Malm is a Professor at Umeå University's Department of Community Medicine and Rehabilitation, Section of Sports Medicine. His research spans molecular muscle adaptation, anti-doping technologies, and physical performance optimization for firefighters and athletes. Primary Affiliation: Umeå University, Sweden Key Focus Areas: Exercise physiology, proteomics, anti-doping, muscle disease mechanisms Research Interests: Muscle Adaptation: Revisiting the damage-repair hypothesis using proteomic screening to study cytoskeletal remodeling. Anti-Doping: Developing proteomic methods to detect autologous blood doping and investigate erythrocyte breakdown mechanisms. Work Capacity: Establishing physiological benchmarks for Swedish firefighters through extensive testing. Musculoskeletal Diseases: Comparative proteomic analysis of trapezius, vastus lateralis, and extraocular muscles to uncover disease resistance mechanisms. Exercise Impact: Exploring how physical activity modulates immunity in health and disease contexts. Scientific Contributions: Over 20 years of publications in Journal of Sports Sciences , PLOS ONE , and Scandinavian Journal of Medicine & Science in Sports , including studies on anabolic steroid effects and cold climate physiology. Ongoing Projects: PhD studies on blood doping detection, firefighter performance limits, and cross-country skiing physiology. Contact: christer.malm@umu.se

• Sports Medicine
• Exercise Physiology
• Proteomics
• +3 more

Per Augustsson is an Associate Professor and Senior Lecturer at Lund University's Division for Biomedical Engineering (Faculty of Engineering, LTH). He leads the Acoustofluidics group and serves as Principal Investigator at NanoLund: Centre for Nanoscience. He is affiliated with LTH Profile Areas in Engineering Health, Nanoscience, Photon Science, and LU's Light and Materials initiative. His research focuses on acoustofluidic technologies for biomedical applications, including ultrasound-driven cell/nanoparticle separation, with contributions to UN Sustainable Development Goals. He has secured grants from the Swedish Research Council and Horizon Europe. Research Interests: Acoustofluidics : Designing devices that use ultrasonic waves to manipulate microscopic objects (e.g., blood cells, nanoparticles) in fluids. Microfluidics : Developing lab-on-a-chip systems for biomedical diagnostics. Thermoacoustic Phenomena : Investigating heat-induced fluid motion for precision control in microsystems. Recent Work Trends: Recent publications (2024–2025) highlight advancements in high-energy acoustofluidic devices, label-free cell separation techniques, and real-time acoustic streaming analysis. His work bridges physics and engineering to address challenges in precision medicine and nanotechnology. Awards: Ingvar Carlsson Award (2017) The Phabian Award (2013) Lund University Faculty of Engineering PhD Thesis of the Year (2011) Grants & Projects: - Microscale Thermoacoustic Streaming (Swedish Research Council, 2025–2030) - BLOODFLOW: Acoustic Whole Blood Imaging (Horizon Europe, 2024–2026) - Single-Cell Mechanical Fingerprint (2024–2025 grant) Infrastructure: Manages Micro Particle Imaging Velocimetry (µPIV) and Confocal Microscopy facilities for fluid dynamics analysis.

• Acoustofluidics
• Biomedical Engineering
• Fluid Mechanics
• +4 more