Michael Lundemann

🦾🩺Hans Christian Wulf, Senior Hospital Physician at Bispebjerg Hospital, has used both engineering and medical science to reduce the side effects of light therapy. On Monday, August 18, he defended his third doctoral thesis. UV RADIATION AS TREATMENT Different skin types react differently to UV radiation, which is used in the treatment of skin conditions such as psoriasis and childhood eczema. Knowledge of how individual skin types react to radiation is crucial to adjusting UV doses and thus improving the diagnosis, prevention, and treatment of skin conditions. After decades of research in this field and doctorates in medicine and pharmacy, Hans Christian Wulf has now added a technical doctorate to his list of achievements. A milestone that would not have been possible without interdisciplinary collaboration with engineers, he says: “I see the role of engineering in the development of modern medical treatment as a necessity. I don’t believe that doctors can do and know everything.” DEVICES FOR SKIN REDNESS AND UV CABINS He earned his technical doctorate by developing devices that measure skin redness and pigmentation when exposed to UV radiation, which allows treatments to be tailored to the individual patient. In addition, Hans Christian Wulf has defined the international unit of measurement SED (Standard Erythema Dose), in which UV doses are measured. The engineering approach was also evident in the invention of optimised UV cabins (specialised rooms used in light therapy) that can reduce the required UV dose by up to 68 per cent, thereby enhancing the safety of patients. Among other things, these inventions and the associated research are presented in Hans Christian Wulf’s thesis, which earned him his technical doctorate. The degree of Doctor Technices (dr. techn.) is the highest Danish academic honour in engineering and technical and natural sciences. Congratulations 🎉 Bispebjerg Hospital #DTUdk #TechnologyForPeople #Engineering #Innovation #HealthTech   

205

2 Kommentarer

Time-resolved experiments are powerful and information rich, but are difficult to integrate with MD simulations The dynamic duo, Carl G. Henning Hansen and Simone Orioli, developed a version of Bayesian-Maximum Entropy reweighting that uses time-dependent priors from low-dimensional representations of MD simulations The key idea is that one of the most easily accessible pieces of information from experiments is the timescale, and so we argue that simulations are better used to interpret mechanisms than to predict timescales We demonstrate tr-BME using tr-SAXS experiments but the method is general. We model the dynamics as diffusive motions on a free-energy landscape, which enables us to model the dynamics of processes much slower than those accessible to direct simulations https://lnkd.in/dxauWCBS

220

STATENS SERUM INSTITUT AWARDED GRANT TO ADVANCE AI-ASSISTED VACCINE RESEARCH We are proud to share that Tu Hu and the team at Statens Serum Institut (SSI) have been awarded a grant from the Novo Nordisk Foundation. The grant includes credits for GPU hours to harness Denmark’s most powerful supercomputer, Gefion, in the fight against infectious diseases. This project will use artificial intelligence to assist scientists in analyzing complex immune system data and identify patterns that are difficult to detect using traditional methods. This will help us understand how immune cells respond to infections like tuberculosis and influenza, and the team thus aims to accelerate the development of next-generation vaccines. By combining AI and supercomputing, researchers will be able to rapidly analyze large-scale immune data, leading to faster insights and more efficient vaccine development. This will strengthen Denmark’s position at the forefront of biomedical innovation and contribute to protecting both Danish society and global public health. SSI has entered into a strategic partnership with the NIVI Research Center (UCPH), which is an integral part of the Novo Nordisk Foundation Initiative for Vaccines and Immunity (NIVI). Through this partnership, SSI plays an important role in fostering cross-disciplinary collaboration between leading Danish research environments. This project represents an early step toward NIVI’s vision to unlock new possibilities in vaccine innovation and pave the way for future discoveries. #AI #Supercomputing #VaccineResearch #Immunology #BiomedicalInnovation #GlobalHealth

116

3 Kommentarer

Dual antiplatelet therapy after heart bypass surgery is not more effective than aspirin alone, according to a study by Professor Anders Jeppsson and colleagues in The New England Journal of Medicine. With dual medications the risk of excessive bleeding also increases during the first year after surgery. https://lnkd.in/dYu4YpCG Anders Jeppsson, Carl Johan Malm, Emma C Hansson, Kristjan Jonsson, Susanne Nielsen, Aldina Pivodic, Anna Jonsson Holmdahl, Leo Petrini, Lena Jidéus, Stefan James, Magnus Dalén, Ulrik Sartipy, Farkas Vanky, Jonas Holm, Joakim Alfredsson, Mats Dreifaldt, Örjan Friberg, Igor Zindovic, Emilia Johannesson, David Erlinge, Mikael Barbu, Carl Thorsén, Christian Holdflod Møller, Sulman Rafiq, Lytfi Krasniqi, Lars Riber, Ivy Susanne Modrau, Ali Imad El Akkawi, Gennady Atroshchenko, Theis Tønnessen, Aminah Tahir, Solveig Moss Kolseth, Haaverstad Rune, Alexander Wahba, Lars-Erik Mohagen Krogstad, Øyvind Jakobsen, Jarmo Gunn, Vesa Anttila, Peter Raivio, Tatu Juvonen, Ari Mennander, Annastiina Husso, Jari Halonen, Tuomas Mäkelä, Tomas Gudbjartsson, Karl Andersen, Sahlgrenska Academy at University of Gothenburg, Göteborgs universitet, Sahlgrenska Universitetssjukhuset, Umeå universitet, Uppsala universitet, Karolinska Institutet, Linköpings universitet, Örebro universitet, Lunds universitet

138

7 Kommentarer

Yesterday, it was announced that we, together with EIFO, are investing €80 million in the new Nordic quantum initiative, QuNorth, and the acquisition of the quantum computer Magne.   In this follow-up article, Chief Scientific Officer Lene B. Oddershede and Scientific Director Morten Bache answer key questions about QuNorth and Magne and what users can expect from the #quantum computer. Read more: https://lnkd.in/dRtS9j7n

87

4 Kommentarer

Timo Leppänen appointed as Professor of Biomedical Engineering, especially sleep analytics Sleep disorders are highly prevalent in our current busy society, yet their diagnosis is time-consuming and costly. Established at the University of Eastern Finland in 2017, the Sleep Technology and Analytics Research Group, STAR, explores mechanisms underlying sleep disorders and develops automated methods for their diagnostics. The STAR research group is led by Timo Leppänen, the University of Eastern Finland’s newly appointed Professor of Biomedical Engineering specialising in sleep analytics. “My research focuses on sleep and sleep disorders. In recent years, advances in technology and computational methods have taken sleep research forward as well. Early-stage monitoring and diagnosis of sleep disorders with the help of artificial intelligence and wearable sensors is a particular focus at our university. However, sleep disorders remain widely underdiagnosed, as translating research innovations into clinical practice is both challenging and time-consuming.” Leppänen notes that while age, obesity and male sex are recognised risk factors for sleep apnoea, they do not provide a reliable basis for early risk assessment. Moreover, the cornerstone of sleep apnoea diagnosis – polysomnography – is an expensive procedure, requiring a sleep laboratory and trained personnel to attach the electrodes, monitor the recording and analyse the results. This is why especially in Finland, diagnosis typically relies on a simplified at-home nocturnal polygraphy study. “Beyond the complexity of diagnostic measurements, the most significant gaps in sleep research include a lack of benchmark datasets from healthy individuals, as well as a limited understanding of the factors contributing to disease onset, and of assessing disease progression,” Leppänen explains. The STAR research group investigates typical signal features and biomarkers associated with healthy sleep and sleep disorders, while also developing predictive models for comorbidities and symptom assessment. “We’re also developing automated, AI-based diagnostic methods for sleep disorders and testing the feasibility of various wearable sensors for early-stage diagnosis, as well as for monitoring sleep quality and treatment outcomes,” Leppänen notes. With simpler measurement solutions and more advanced automated analysis methods, individuals suffering from sleep disorders could be identified more efficiently and brought into care sooner. 👉Read more https://lnkd.in/g5yexxxv #health

40

Metabolic Differences in Neuroimaging with [18F]FDG in Rats Under Isoflurane and Hypnorm–Dormicum We are pleased to share this recent article by Aage Kristian Olsen, Mette Simonsen, Kim Vang Hansen and Caroline Real Gregório using #Mediso nanoScan® PET/MRI system. https://lnkd.in/dx-_dZgK #imaging #preclinicalimaging #molecularimaging #neuroimaging

60