ORCID Profile
0000-0001-6280-3130
Current Organisation
University of Oslo
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Publisher: Cold Spring Harbor Laboratory
Date: 09-03-2021
DOI: 10.1101/2021.03.08.433891
Abstract: Adaptive immune receptor repertoires (AIRR) are key targets for biomedical research as they record past and ongoing adaptive immune responses. The capacity of machine learning (ML) to identify complex discriminative sequence patterns renders it an ideal approach for AIRR-based diagnostic and therapeutic discovery. To date, widespread adoption of AIRR ML has been inhibited by a lack of reproducibility, transparency, and interoperability. immuneML ( immuneml.uio.no ) addresses these concerns by implementing each step of the AIRR ML process in an extensible, open-source software ecosystem that is based on fully specified and shareable workflows. To facilitate widespread user adoption, immuneML is available as a command-line tool and through an intuitive Galaxy web interface, and extensive documentation of workflows is provided. We demonstrate the broad applicability of immuneML by (i) reproducing a large-scale study on immune state prediction, (ii) developing, integrating, and applying a novel method for antigen specificity prediction, and (iii) showcasing streamlined interpretability-focused benchmarking of AIRR ML.
Publisher: Elsevier BV
Date: 2021
Publisher: American Society for Clinical Investigation
Date: 15-11-2013
DOI: 10.1172/JCI70559
Publisher: Elsevier BV
Date: 10-2021
Publisher: IOP Publishing
Date: 11-2020
DOI: 10.1088/1755-1315/588/2/022003
Abstract: Improving building performance is key to tackling the challenges of climate change, considering that buildings account for 40% of the global energy consumption. The urgent need for energy efficiency improvement of buildings calls for the implementation of suitable policy instruments, including performance assessments. Currently, the performance of buildings is officially assessed by Energy Performance Certificate (EPC) schemes. However, EPCs certify the design more than the building, relying on simulations and assumptions rather than on the buildings’ actual demand for energy which is partly determined by occupant behaviour, execution of the work and malfunctioning of the equipment. This work investigates how the governance of the performance certification scheme could be improved with the objective of a more robust EPC scheme. Based on a qualitative study through interviews with energy experts the current EPC system in Switzerland is characterized, allowing to understand important limitations. The insights help to shape a list of recommendations for further development of the EPC scheme. This research is relevant because the failure to correctly assess building performance leads to excess carbon emissions and higher energy costs, undermining the attainability of the energy policy targets.
Publisher: Elsevier BV
Date: 11-2019
Publisher: Springer Science and Business Media LLC
Date: 06-04-2022
DOI: 10.1186/S12889-022-13055-6
Abstract: In the past decades, climate change has been impacting human lives and health via extreme weather and climate events and alterations in labour capacity, food security, and the prevalence and geographical distribution of infectious diseases across the globe. Climate change and health indicators (CCHIs) are workable tools designed to capture the complex set of interdependent interactions through which climate change is affecting human health. Since 2015, a novel sub-set of CCHIs, focusing on climate change impacts, exposures, and vulnerability indicators (CCIEVIs) has been developed, refined, and integrated by Working Group 1 of the “ Lancet Countdown: Tracking Progress on Health and Climate Change”, an international collaboration across disciplines that include climate, geography, epidemiology, occupation health, and economics. This research in practice article is a reflective narrative documenting how we have developed CCIEVIs as a discrete set of quantifiable indicators that are updated annually to provide the most recent picture of climate change’s impacts on human health. In our experience, the main challenge was to define globally relevant indicators that also have local relevance and as such can support decision making across multiple spatial scales. We found a hazard, exposure, and vulnerability framework to be effective in this regard. We here describe how we used such a framework to define CCIEVIs based on both data availability and the indicators’ relevance to climate change and human health. We also report on how CCIEVIs have been improved and added to, detailing the underlying data and methods, and in doing so provide the defining quality criteria for Lancet Countdown CCIEVIs. Our experience shows that CCIEVIs can effectively contribute to a world-wide monitoring system that aims to track, communicate, and harness evidence on climate-induced health impacts towards effective intervention strategies. An ongoing challenge is how to improve CCIEVIs so that the description of the linkages between climate change and human health can become more and more comprehensive.
Publisher: Elsevier BV
Date: 11-2022
Publisher: Elsevier BV
Date: 10-2021
No related grants have been discovered for Marieke Kuijjer.