| 1. |
- Allesøe, Rosa Lundbye, et al.
(författare)
-
Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models
- 2023
-
Ingår i: Nature Biotechnology. - : Springer Nature. - 1087-0156 .- 1546-1696. ; 41:3, s. 399-408
-
Tidskriftsartikel (refereegranskat)abstract
- The application of multiple omics technologies in biomedical cohorts has the potential to reveal patient-level disease characteristics and individualized response to treatment. However, the scale and heterogeneous nature of multi-modal data makes integration and inference a non-trivial task. We developed a deep-learning-based framework, multi-omics variational autoencoders (MOVE), to integrate such data and applied it to a cohort of 789 people with newly diagnosed type 2 diabetes with deep multi-omics phenotyping from the DIRECT consortium. Using in silico perturbations, we identified drug–omics associations across the multi-modal datasets for the 20 most prevalent drugs given to people with type 2 diabetes with substantially higher sensitivity than univariate statistical tests. From these, we among others, identified novel associations between metformin and the gut microbiota as well as opposite molecular responses for the two statins, simvastatin and atorvastatin. We used the associations to quantify drug–drug similarities, assess the degree of polypharmacy and conclude that drug effects are distributed across the multi-omics modalities.
|
|
| 2. |
- Rossitto, Chiara, et al.
(författare)
-
Data-Enabled Sustainability : The Collective Work of Turning Data into Actions for Environmental Care
- 2023
-
Ingår i: CSCW '23 Companion. - : Association for Computing Machinery. - 9798400701290 ; , s. 506-511
-
Konferensbidrag (refereegranskat)abstract
- This one-day workshop invites discussions on the role of data and data-enabled practices in addressing challenges of environmental sustainability. Fostering acts of care for the environment is a complex endeavor entailing multi-lifespan relations to people and institutions, to the environment and other non-human actors, and to existing infrastructures and processes. The workshop addresses such challenges by exploring the role of data, and the work of making them actionable for the many actors involved in protecting the environment. It will bring together interdisciplinary scholars, representatives of public institutions, activists, environmental collectives, and IT practitioners interested in the design of more sustainable futures. The workshop will discuss analytical and design issues of data-enabled sustainability, along with the practical opportunities of using data to infrastructure acts of care for the environment. The workshop will accommodate up to twenty participants and will be mainly run on-site.
|
|
| 3. |
- Rossitto, Chiara, et al.
(författare)
-
Towards Digital Environmental Stewardship : the Work of Caring for the Environment in Waste Management
- 2022
-
Ingår i: Conference on Human Factors in Computing Systems - Proceedings. - New York, NY, USA : Association for Computing Machinery. - 9781450391573 ; , s. 1-16
-
Konferensbidrag (refereegranskat)abstract
- This paper discusses Digital Environmental Stewardship as an analytical framework that can help HCI scholarship to understand, design, and assess sociotechnical interventions concerned with sustainable waste management practices. Drawing on environmental studies, we outline key concepts of environmental stewardship - namely actors, capacity, and motivations - to unpack how different initiatives for handling waste are organised, both through grassroots and top-down interventions, and through varying sociotechnical configurations. We use these dimensions to analyse three different cases of waste management that illustrate how actions of care for the environment are ecologically organised, and what challenges might hinder them beyond -or besides- behavioural motivations. We conclude with a discussion on the orientation to action that the suggested framework provides, and its role in understanding, designing and assessing digital technologies in this domain. We argue that examining how stewardship actions fold into each other helps design sociotechnical interventions for managing waste from within a relational perspective.
|
|
| 4. |
- Wikström, Johan, et al.
(författare)
-
Sediment Remediation with New Composite Sorbent Amendments to Sequester Phosphorus, Organic Contaminants, and Metals
- 2021
-
Ingår i: Environmental Science and Technology. - : American Chemical Society (ACS). - 0013-936X .- 1520-5851. ; 55:17, s. 11937-11947
-
Tidskriftsartikel (refereegranskat)abstract
- This study tested two sediment amendments with active sorbents: injection of aluminum (Al) into sediments and thin-layer capping with Polonite (calcium-silicate), with and without the addition of activated carbon (AC), for their simultaneous sequestration of sediment phosphorus (P), hydrophobic organic contaminants (HOCs), and metals. Sediment cores were collected from a eutrophic and polluted brackish water bay in Sweden and incubated in the laboratory to measure sediment-to-water contaminant release and effects on biogeochemical processes. We used diffusive gradients in thin-film passive samplers for metals and semi-permeable membrane devices for the HOC polychlorinated biphenyls and polycyclic aromatic hydrocarbons. Al injection into anoxic sediments completely stopped the release of P and reduced the release of cadmium (Cd, -97%) and zinc (Zn, -95%) but increased the sediment fluxes of PAH (+49%), compared to the untreated sediment. Polonite mixed with AC reduced the release of P (-70%), Cd (-67%), and Zn (-89%) but increased methane (CH4) release. Adding AC to the Al or Polonite reduced the release of HOCs by 40% in both treatments. These results not only demonstrate the potential of innovative remediation techniques using composite sorbent amendments but also highlight the need to assess possible ecological side effects on, for example, sedimentary microbial processes.
|
|
