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- Ken-Dror, G., et al.
(author)
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Genome-Wide Association Study Identifies First Locus Associated with Susceptibility to Cerebral Venous Thrombosis
- 2021
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In: Annals of Neurology. - : Wiley. - 0364-5134 .- 1531-8249. ; 90:5, s. 777-788
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Journal article (peer-reviewed)abstract
- Objective Cerebral venous thrombosis (CVT) is an uncommon form of stroke affecting mostly young individuals. Although genetic factors are thought to play a role in this cerebrovascular condition, its genetic etiology is not well understood. Methods A genome-wide association study was performed to identify genetic variants influencing susceptibility to CVT. A 2-stage genome-wide study was undertaken in 882 Europeans diagnosed with CVT and 1,205 ethnicity-matched control subjects divided into discovery and independent replication datasets. Results In the overall case-control cohort, we identified highly significant associations with 37 single nucleotide polymorphisms (SNPs) within the 9q34.2 region. The strongest association was with rs8176645 (combined p = 9.15 x 10(-24); odds ratio [OR] = 2.01, 95% confidence interval [CI] = 1.76-2.31). The discovery set findings were validated across an independent European cohort. Genetic risk score for this 9q34.2 region increases CVT risk by a pooled estimate OR = 2.65 (95% CI = 2.21-3.20, p = 2.00 x 10(-16)). SNPs within this region were in strong linkage disequilibrium (LD) with coding regions of the ABO gene. The ABO blood group was determined using allele combination of SNPs rs8176746 and rs8176645. Blood groups A, B, or AB, were at 2.85 times (95% CI = 2.32-3.52, p = 2.00 x 10(-16)) increased risk of CVT compared with individuals with blood group O. Interpretation We present the first chromosomal region to robustly associate with a genetic susceptibility to CVT. This region more than doubles the likelihood of CVT, a risk greater than any previously identified thrombophilia genetic risk marker. That the identified variant is in strong LD with the coding region of the ABO gene with differences in blood group prevalence provides important new insights into the pathophysiology of CVT. ANN NEUROL 2021
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| 5. |
- Ranjan, R., et al.
(author)
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Age of onset of cerebral venous thrombosis: the BEAST study
- 2023
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In: European Stroke Journal. - : SAGE Publications. - 2396-9873 .- 2396-9881. ; 8:1, s. 344-350
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Journal article (peer-reviewed)abstract
- Background: Cerebral venous thrombosis (CVT) is an uncommon cause of stroke in young adults. We aimed to determine the impact of age, gender and risk factors (including sex-specific) on CVT onset. Methods: We used data from the BEAST (Biorepository to Establish the Aetiology of Sinovenous Thrombosis), a multicentre multinational prospective observational study on CVT. Composite factors analysis (CFA) was performed to determine the impact on the age of CVT onset in males and females. Results: A total of 1309 CVT patients (75.3% females) aged > 18 years were recruited. The overall median (IQR-interquartile range) age for males and females was 46 (35-58) years and 37 (28-47) years (p < 0.001), respectively. However, the presence of antibiotic-requiring sepsis (p = 0.03, 95% CI 27-47 years) among males and gender-specific risk factors like pregnancy (p < 0.001, 95% CI 29-34 years), puerperium (p < 0.001, 95% CI 26-34 years) and oral contraceptive use (p < 0.001, 95% CI 33-36 years) were significantly associated with earlier onset of CVT among females. CFA demonstrated a significantly earlier onset of CVT in females, similar to 12 years younger, in those with multiple (> 1) compared to '0' risk factors (p < 0.001, 95% CI 32-35 years). Conclusions: Women suffer CVT 9 years earlier in comparison to men. Female patients with multiple (> 1) risk factors suffer CVT similar to 12 years earlier compared to those with no identifiable risk factors.
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| 7. |
- Bachmann, L., et al.
(author)
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The role of systematics for understanding ecosystem functions: Proceedings of the Zoologica Scripta Symposium, Oslo, Norway, 25 August 2022
- 2023
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In: Zoologica Scripta. - : Wiley. - 0300-3256 .- 1463-6409. ; 52:3, s. 187-214
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Journal article (peer-reviewed)abstract
- On 25 August 2022, the Zoologica Scripta - An International Journal of Systematic Zoology and the Norwegian Academy of Sciences and Letters arranged a symposium entitled 'The role of systematics for understanding ecosystem functions' in the Academy's premises in Oslo, Norway. The symposium aimed at offering a forum for exploring and discussing trends and future developments in the field of systematics. Eleven international experts contributed expertise on various issues related to global challenges, such as biodiversity assessments, databases, cutting-edge analysis tools, and the consequences of the taxonomic impediment. Here, we compiled a multi-author proceedings paper of the symposium contributions that are arranged in chapters and presents the content and the key conclusions of the majority of the presentations.
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| 8. |
- Catanuto, G., et al.
(author)
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Text mining and word embedding for classification of decision making variables in breast cancer surgery
- 2022
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In: European Journal of Surgical Oncology. - : Elsevier. - 0748-7983 .- 1532-2157. ; 48:7, s. 1503-1509
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Journal article (peer-reviewed)abstract
- IntroductionDecision making in surgical oncology of the breast has increased its complexity over the last twenty years.This Delphi survey investigates the opinion of an expert panel about the decision making process in surgical procedures on the breast for oncological purposes.MethodsTwenty-seven experts were invited to partake into a Delphi Survey. At the first round they have been asked to provide a list of features involved in the decision making process (patient's characteristics; disease characteristics; surgical techniques, outcomes) and comment on it. Using text-mining techniques we extracted a list of mono-bi-trigrams potentially representative of decision drivers. A technique of “natural language processing” called Word2vec was used to validate changes to texts using synonyms and plesionyms. Word2Vec was also used to test the semantic relevance of n-grams within a corpus of knowledge made up of books edited by panel members. The final list of variables extracted was submitted to the judgement of the panel for final validation at the second round of the Delphi using closed ended questions.Results52 features out of 59 have been approved by the panel. The overall consensus was 87.1%ConclusionsText mining and natural language processing allowed the extraction of a number of decision drivers and outcomes as part of the decision making process in surgical oncology on the breast. This result was obtained transforming narrative texts into structured data. The high level of consensus among experts provided validation to this process.
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- Sana, B., et al.
(author)
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Recent development in near infrared light-responsive polymeric materials for smart drug-delivery systems
- 2022
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In: Materials Today Chemistry. - : Elsevier BV. - 2468-5194. ; 25
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Journal article (peer-reviewed)abstract
- Stimuli-responsive drug delivery systems (DDS) may overcome the drawbacks of conventional chemotherapy for cancer treatment. In particular, light-responsive polymer-based DDS may ensure spatio and temporal control in drug delivery. In this regard, near infrared (NIR) light triggered drug nanocarriers present several advantages when compared to UV–visible light triggered nanocarriers. This review surveys the recent development on the design, synthesis, functions, and applications of NIR photo-sensitive compounds in the development of long-wavelength light-responsive nanocarriers. Diverse NIR light responsive groups such as coumarin (CM), ortho-nitrobenzyl (ONB), 2-diazo-1,2-naphthoquinone (DNQ) and spiropyran (SP) derivatives and their photo-cleavage reaction mechanisms are discussed, as well as the use of indocyanine green (ICG) and its photo-thermal application. The loading into polymeric nanocarriers of up converting nanoparticles (UCNPs) which can convert NIR light into UV or visible light is also discussed. The described DDS are classified on the basis on the photo responsive groups. In details, the behavior of different polymeric materials such as micelles, hydrogels bearing photo responsive groups linked to bioactive molecules which are released under NIR light irradiation is reviewed and discussed. A section relative to commonly used instrument setup for drug release studies by NIR light irradiation is also presented for better understanding how the light has been used to irradiate in various experimental situations.
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| 10. |
- Taheri, M., et al.
(author)
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SAFFIRA : a Framework for Assessing the Reliability of Systolic-Array-Based DNN Accelerators
- 2024
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In: 2024 27th International Symposium on Design & Diagnostics of Electronic Circuits & Systems (DDECS). - : Institute of Electrical and Electronics Engineers Inc.. - 9798350359343 ; , s. 19-24
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Conference paper (peer-reviewed)abstract
- Systolic array has emerged as a prominent archi-tecture for Deep Neural Network (DNN) hardware accelerators, providing high-throughput and low-latency performance essen-tial for deploying DNNs across diverse applications. However, when used in safety-critical applications, reliability assessment is mandatory to guarantee the correct behavior of DNN accelerators. While fault injection stands out as a well-established practical and robust method for reliability assessment, it is still a very time-consuming process. This paper addresses the time efficiency issue by introducing a novel hierarchical software-based hardware-aware fault injection strategy tailored for systolic array-based DNN accelerators. The uniform Recurrent Equations system is used for software modeling of the systolic-array core of the DNN accelerators. The approach demonstrates a reduction of the fault injection time up to 3 × compared to the state-of-the-art hybrid (software/hardware) hardware-aware fault injection frameworks and more than 2000 × compared to RT-level fault injection frameworks - without compromising accuracy. Additionally, we propose and evaluate a new reliability metric through experimental assessment. The performance of the framework is studied on state-of-the-art DNN benchmarks.
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