The KTH overall strategic focus for medical and biomedical technology research
Medicin Teknik Naturvetenskap
Wouter van der Wijngaart
2011-08-31 14:11, reviderat 2011-09-02 10:31
The research strategy for the KTH medical and biomedical technology platform (www.kth.se/mbm) suggests an integrated and cross‐disciplinary approach in large synergistic areas. The focus is on 6 core areas, aiming at new subject‐bridging projects through novel constellations between universities, industry and healthcare providers:
1) Fundamental life science research:
•Understand and utilize gene variations and regulations
•In proteomics, understand: differentially expression; protein localization and function; protein interaction
•Identify how order is brought from the chaotic interior of the cell
•Understand how host‐pathogen interactions function
•Determine how higher order functions are created in organisms
•Strengthen the interactions between mathematical & computational sciences and experimental biological research.
2) Biomolecular tools and biomaterials:
•Novel and improved bioassays to unravel biological questions
•High throughput methods for selection and design of molecules for diagnostic and therapeutic purposes
•Experimental, mathematical and bioinformatic methods for analysis of DNA and proteins in large cohorts of human samples
•Reliable and safe manufacturing processes for pharmaceutical molecules
•Novel materials for in vivo analysis, targeted drug delivery and implants that stimulate self‐healing
•Synthesis of advanced functional materials resulting in controlled cell-material interactions, targeted drug delivery and implants that stimulate self‐healing
•Micro/Nanotechnology for developing new state‐of‐the‐art tools for DNA‐sequencing, biomolecular sensing, sorting and therapy.
3) Bioimaging:
•New imaging technologies for improved spatial resolution, sensitivity and functional selectivity
•Integration and implementation of the new imaging technologies for end‐user‐defined medically relevant purposes
•X‐ray tools for improved resolution and contrast at minimum radiation dose including, e.g., photon “colour” imaging and phase contrast methods
•Methods for optimal image recovery and image analysis from sparse and/or noisy data.
4) Medical devices:
•Analytical techniques, devices and their manufacturing methods for selective and sensitive detection of biomarkers or pathogens for screening, monitoring, diagnosis and prevention
•Minimally invasive medical devices
•Robotics and haptic devices for i) a virtual reality for clinical application in areas such as medical training through simulation (e.g. training of surgeons) and minimally invasive surgical procedures, and ii) the visualization of information to support decision‐making regarding further treatment and care of patients
•Active prosthetics and other physical devices for the assistance of impaired functions.
5) Physics, Mechanics, Mathematics and Computations:
•Methods for exploring and analyzing high dimensional heterogeneous data sets (data fusion)
•Dynamical systems theory and optimal control theory for model reduction in system biology
•Interaction dynamics in networks of genes, excitable cells or neuromechanical systems
•Methods for multi‐physics & multi-scale simulation of cells, tissues, and organs
•Mechanistic explanations for the relationship between individual components (e.g. receptors, cell types) and the cell function
•Biomechanical simulation models for the human as or in a system
•Topological methods for analysis of biological networks to derive interaction network maps
•Methods for analysis of data from different imaging modalities representing features at vastly different scales
•Simulation methods for training in therapeutic procedures
•Simulations to predict the outcome and response of treatment and injury prevention.
6) Infrastructure in health:
•Integrate innovative processes for the healthcare system
•A systematic and integrated approach in the development of new devices and processes in the healthcare system
•Integrate testing procedures for new innovative products and create testing facilities that can be used by researchers, healthcare professionals and industry
•Measure the overall effect from a societal aspect when new products are introduced into the healthcare system, not only the narrow description at the individual clinic
•Facilitate processes when transferring scientific results to products that can be marketed
•Information management systems to support availability from the large amount of information sources that are used within the healthcare system
•Quantitative methods and computer based systems that support decision‐making.
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