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- Stadskleiv, K., et al.
(författare)
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Aided communication, mind understanding and co-construction of meaning
- 2022
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Ingår i: Developmental Neurorehabilitation. - : Informa UK Limited. - 1751-8423 .- 1751-8431. ; 25:8, s. 518-530
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Tidskriftsartikel (refereegranskat)abstract
- Mind understanding allows for the adaptation of expressive language to a listener and is a core element when communicating new information to a communication partner. There is limited knowledge about the relationship between aided language and mind understanding. This study investigates this relationship using a communication task. The participants were 71 aided communicators using graphic symbols or spelling for expression (38/33 girls/boys) and a reference group of 40 speaking children (21/19 girls/boys), aged 5;0-15;11 years. The task was to describe, but not name, drawings to a communication partner. The partner could not see the drawing and had to infer what was depicted from the child's explanation. Dyads with aided communicators solved fewer items than reference dyads (64% vs 93%). The aided spellers presented more precise details than the symbol users (46% vs 38%). In the aided group, number of correct items correlated with verbal comprehension and age.
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- Strom, Peter, et al.
(författare)
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Artificial intelligence for diagnosis and grading of prostate cancer in biopsies : a population-based, diagnostic study
- 2020
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Ingår i: The Lancet Oncology. - : Elsevier. - 1470-2045 .- 1474-5488. ; 21:2, s. 222-232
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Tidskriftsartikel (refereegranskat)abstract
- BackgroundAn increasing volume of prostate biopsies and a worldwide shortage of urological pathologists puts a strain on pathology departments. Additionally, the high intra-observer and inter-observer variability in grading can result in overtreatment and undertreatment of prostate cancer. To alleviate these problems, we aimed to develop an artificial intelligence (AI) system with clinically acceptable accuracy for prostate cancer detection, localisation, and Gleason grading.MethodsWe digitised 6682 slides from needle core biopsies from 976 randomly selected participants aged 50–69 in the Swedish prospective and population-based STHLM3 diagnostic study done between May 28, 2012, and Dec 30, 2014 (ISRCTN84445406), and another 271 from 93 men from outside the study. The resulting images were used to train deep neural networks for assessment of prostate biopsies. The networks were evaluated by predicting the presence, extent, and Gleason grade of malignant tissue for an independent test dataset comprising 1631 biopsies from 246 men from STHLM3 and an external validation dataset of 330 biopsies from 73 men. We also evaluated grading performance on 87 biopsies individually graded by 23 experienced urological pathologists from the International Society of Urological Pathology. We assessed discriminatory performance by receiver operating characteristics and tumour extent predictions by correlating predicted cancer length against measurements by the reporting pathologist. We quantified the concordance between grades assigned by the AI system and the expert urological pathologists using Cohen's kappa.FindingsThe AI achieved an area under the receiver operating characteristics curve of 0·997 (95% CI 0·994–0·999) for distinguishing between benign (n=910) and malignant (n=721) biopsy cores on the independent test dataset and 0·986 (0·972–0·996) on the external validation dataset (benign n=108, malignant n=222). The correlation between cancer length predicted by the AI and assigned by the reporting pathologist was 0·96 (95% CI 0·95–0·97) for the independent test dataset and 0·87 (0·84–0·90) for the external validation dataset. For assigning Gleason grades, the AI achieved a mean pairwise kappa of 0·62, which was within the range of the corresponding values for the expert pathologists (0·60–0·73).InterpretationAn AI system can be trained to detect and grade cancer in prostate needle biopsy samples at a ranking comparable to that of international experts in prostate pathology. Clinical application could reduce pathology workload by reducing the assessment of benign biopsies and by automating the task of measuring cancer length in positive biopsy cores. An AI system with expert-level grading performance might contribute a second opinion, aid in standardising grading, and provide pathology expertise in parts of the world where it does not exist.
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- Durgan, Joanne, et al.
(författare)
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Non-canonical autophagy drives alternative ATG8 conjugation to phosphatidylserine
- 2021
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Ingår i: Molecular Cell. - : Elsevier. - 1097-2765 .- 1097-4164. ; 81:9, s. 2031-2040
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Tidskriftsartikel (refereegranskat)abstract
- Autophagy is a fundamental catabolic process that uses a unique post-translational modification, the conjugation of ATG8 protein to phosphatidylethanolamine (PE). ATG8 lipidation also occurs during non-canonical autophagy, a parallel pathway involving conjugation of ATG8 to single membranes (CASM) at endolysosomal compartments, with key functions in immunity, vision, and neurobiology. It is widely assumed that CASM involves the same conjugation of ATG8 to PE, but this has not been formally tested. Here, we discover that all ATG8s can also undergo alternative lipidation to phosphatidylserine (PS) during CASM, induced pharmacologically, by LC3-associated phagocytosis or influenza A virus infection, in mammalian cells. Importantly, ATG8-PS and ATG8-PE adducts are differentially delipidated by the ATG4 family and bear different cellular dynamics, indicating significant molecular distinctions. These results provide important insights into autophagy signaling, revealing an alternative form of the hallmark ATG8 lipidation event. Furthermore, ATG8-PS provides a specific “molecular signature” for the non-canonical autophagy pathway.
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- Egevad, L, et al.
(författare)
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Identification of areas of grading difficulties in prostate cancer and comparison with artificial intelligence assisted grading
- 2020
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Ingår i: Virchows Archiv : an international journal of pathology. - : Springer Science and Business Media LLC. - 1432-2307. ; 477:6, s. 777-786
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Tidskriftsartikel (refereegranskat)abstract
- The International Society of Urological Pathology (ISUP) hosts a reference image database supervised by experts with the purpose of establishing an international standard in prostate cancer grading. Here, we aimed to identify areas of grading difficulties and compare the results with those obtained from an artificial intelligence system trained in grading. In a series of 87 needle biopsies of cancers selected to include problematic cases, experts failed to reach a 2/3 consensus in 41.4% (36/87). Among consensus and non-consensus cases, the weighted kappa was 0.77 (range 0.68–0.84) and 0.50 (range 0.40–0.57), respectively. Among the non-consensus cases, four main causes of disagreement were identified: the distinction between Gleason score 3 + 3 with tangential cutting artifacts vs. Gleason score 3 + 4 with poorly formed or fused glands (13 cases), Gleason score 3 + 4 vs. 4 + 3 (7 cases), Gleason score 4 + 3 vs. 4 + 4 (8 cases) and the identification of a small component of Gleason pattern 5 (6 cases). The AI system obtained a weighted kappa value of 0.53 among the non-consensus cases, placing it as the observer with the sixth best reproducibility out of a total of 24. AI may serve as a decision support and decrease inter-observer variability by its ability to make consistent decisions. The grading of these cancer patterns that best predicts outcome and guides treatment warrants further clinical and genetic studies. Results of such investigations should be used to improve calibration of AI systems.
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- Fennell, David A., et al.
(författare)
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Tourism, animals & the vacant niche : a scoping review and pedagogical agenda
- 2024
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Ingår i: Current Issues in Tourism. - : Routledge. - 1368-3500 .- 1747-7603. ; , s. 1-29
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Tidskriftsartikel (refereegranskat)abstract
- The topic of animal ethics has advanced in tourism studies since its inception in 2000, based on a diverse range of studies on species involvement, types of uses and contexts, level of engagement, states of animals, and theoretical perspectives. While there is still considerable scope to amplify research on animal-based tourism, a gap exists in tourism pedagogy amidst the field’s emphasis on a new expanding consciousness platform. We review the depth of existing scholarship on animal ethics in tourism and develop an agenda for advancing animal ethics pedagogy for the future. Our intent is to issue a call to action for curriculum committees, programme administrators, and educators to recognise and act on this critical moral domain in tourism education.
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