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Article ; Online: A dataset for fault detection and diagnosis of an air handling unit from a real industrial facility.

Ahern, Michael / O'Sullivan, Dominic T J / Bruton, Ken

2023 Volume 48, Page(s) 109208

Abstract: This dataset was collected for the purpose of applying fault detection and diagnosis (FDD) techniques to real data from an industrial facility. The data for an air handling unit (AHU) is extracted from a building management system (BMS) and aligned with ... ...

Abstract	This dataset was collected for the purpose of applying fault detection and diagnosis (FDD) techniques to real data from an industrial facility. The data for an air handling unit (AHU) is extracted from a building management system (BMS) and aligned with the Project Haystack naming convention. This dataset differs from other publicly available datasets in three main ways. Firstly, the dataset does not contain fault detection ground truth. The lack of labelled datasets in the industrial setting is a significant limitation to the application of FDD techniques found in the literature. Secondly, unlike other publicly available datasets that typically record values every 1 min or 5 min, this dataset captures measurements at a lower frequency of every 15 min, which is due to data storage constraints. Thirdly, the dataset contains a myriad of data issues. For example, there are missing features, missing time intervals, and inaccurate data. Therefore, we hope this dataset will encourage the development of robust FDD techniques that are more suitable for real world applications.
Language	English
Publishing date	2023-05-09
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	2786545-9
ISSN	2352-3409 ; 2352-3409
ISSN (online)	2352-3409
ISSN	2352-3409
DOI	10.1016/j.dib.2023.109208
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Article ; Online: Radiomics and Radiogenomics in Pelvic Oncology: Current Applications and Future Directions.

O'Sullivan, Niall J / Kelly, Michael E

Current oncology (Toronto, Ont.)

2023 Volume 30, Issue 5, Page(s) 4936–4945

Abstract: Radiomics refers to the conversion of medical imaging into high-throughput, quantifiable data in order to analyse disease patterns, guide prognosis and aid decision making. Radiogenomics is an extension of radiomics that combines conventional radiomics ... ...

Abstract	Radiomics refers to the conversion of medical imaging into high-throughput, quantifiable data in order to analyse disease patterns, guide prognosis and aid decision making. Radiogenomics is an extension of radiomics that combines conventional radiomics techniques with molecular analysis in the form of genomic and transcriptomic data, serving as an alternative to costly, labour-intensive genetic testing. Data on radiomics and radiogenomics in the field of pelvic oncology remain novel concepts in the literature. We aim to perform an up-to-date analysis of current applications of radiomics and radiogenomics in the field of pelvic oncology, particularly focusing on the prediction of survival, recurrence and treatment response. Several studies have applied these concepts to colorectal, urological, gynaecological and sarcomatous diseases, with individual efficacy yet poor reproducibility. This article highlights the current applications of radiomics and radiogenomics in pelvic oncology, as well as the current limitations and future directions. Despite a rapid increase in publications investigating the use of radiomics and radiogenomics in pelvic oncology, the current evidence is limited by poor reproducibility and small datasets. In the era of personalised medicine, this novel field of research has significant potential, particularly for predicting prognosis and guiding therapeutic decisions. Future research may provide fundamental data on how we treat this cohort of patients, with the aim of reducing the exposure of high-risk patients to highly morbid procedures.
MeSH term(s)	Humans ; Reproducibility of Results ; Medical Oncology ; Diagnostic Imaging ; Genetic Testing
Language	English
Publishing date	2023-05-11
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	1236972-x
ISSN	1718-7729 ; 1198-0052
ISSN (online)	1718-7729
ISSN	1198-0052
DOI	10.3390/curroncol30050372
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Article ; Online: Colorectal Endoscopic Submucosal Dissection: Not a Case of One Size Fits All.

O'Sullivan, Timothy / Burgess, Nicholas G / Bourke, Michael J

Gastroenterology

2022 Volume 164, Issue 7, Page(s) 1340–1341

MeSH term(s)	Humans ; Endoscopic Mucosal Resection ; Colorectal Neoplasms/surgery ; Colonoscopy ; Treatment Outcome ; Retrospective Studies
Language	English
Publishing date	2022-10-30
Publishing country	United States
Document type	Letter ; Comment
ZDB-ID	80112-4
ISSN	1528-0012 ; 0016-5085
ISSN (online)	1528-0012
ISSN	0016-5085
DOI	10.1053/j.gastro.2022.10.025
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Article ; Online: Early Peanut Immunotherapy in Children (EPIC) trial: protocol for a pragmatic randomised controlled trial of peanut oral immunotherapy in children under 5 years of age.

O'Sullivan, Michael David / Bear, Natasha / Metcalfe, Jessica

BMJ paediatrics open

2023 Volume 7, Issue 1

Abstract: Introduction: Food allergy is a major public health challenge in Australia. Despite widespread uptake of infant feeding and allergy prevention guidelines the incidence of peanut allergy in infants has not fallen, and prevalence of peanut allergy in ... ...

Abstract	Introduction: Food allergy is a major public health challenge in Australia. Despite widespread uptake of infant feeding and allergy prevention guidelines the incidence of peanut allergy in infants has not fallen, and prevalence of peanut allergy in school-aged children continues to rise. Therefore, effective and accessible treatments for peanut allergy are required. There is high-quality evidence for efficacy of oral immunotherapy in children aged 4-17 years old; however, few randomised trials have investigated peanut oral immunotherapy (OIT) in young children. Furthermore, the use of food products for OIT with doses prepared and administered by parents without requiring pharmacy compounding has the potential to reduce costs associated with the OIT product. Methods and analysis: Early Peanut Immunotherapy in Children is an open-label randomised controlled trial of peanut OIT compared with standard care (avoidance) to induce desensitisation in children aged 1-4 years old with peanut allergy. n=50 participants will be randomised 1:1 to intervention (daily peanut OIT for 12 months) or control (peanut avoidance). The primary outcome is the proportion of children in each group with a peanut eliciting dose >600 mg peanut protein as assessed by open peanut challenge after 12 months, analysed by intention to treat. Secondary outcomes include safety as assessed by frequency and severity of treatment-related adverse events, quality of life measured using age-appropriate food allergy-specific questionnaires and immunological changes during OIT. Ethics: The trial is approved by the Child and Adolescent Health Service Human Research Ethics Committee and prospectively registered with the Australia and New Zealand Clinical Trials Registry. Dissemination: Trial outcomes will be published in a peer-review journal and presented and local and national scientific meetings. Trial registration number: ACTRN12621001001886.
MeSH term(s)	Child, Preschool ; Humans ; Infant ; Administration, Oral ; Arachis ; Desensitization, Immunologic/adverse effects ; Desensitization, Immunologic/methods ; Peanut Hypersensitivity/prevention & control ; Quality of Life ; Pragmatic Clinical Trials as Topic
Language	English
Publishing date	2023-11-14
Publishing country	England
Document type	Clinical Trial Protocol ; Journal Article ; Research Support, Non-U.S. Gov't
ISSN	2399-9772
ISSN (online)	2399-9772
DOI	10.1136/bmjpo-2023-002294
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Article ; Online: Isolation of casein for stable isotope ratio analysis of butter, cheese, and milk powder.

O'Sullivan, Roisin / Schmidt, Olaf / O'Sullivan, Michael / Cama-Moncunill, Raquel / Monahan, Frank J

Rapid communications in mass spectrometry : RCM

2022 Volume 37, Issue 5, Page(s) e9402

Abstract: ... H, C, and N), protein determination, and some also underwent SIRA of O and S. Two-way ...

Abstract	Rationale: Stable isotope ratio analysis (SIRA) is commonly used for the authentication of dairy commodities, providing evidence to support the geographical origin and production background of products. We set out to optimise methods for the isolation of a common constituent (casein) from three dairy commodities, which would permit easier inter- and intra-commodity comparisons following SIRA. Methods: Three published methods for isolation of protein (from cheese, milk, and butter) were adapted to yield protein (casein) fractions from commercial cheddar cheese, whole milk powder (WMP), and butter samples with a high degree of purity for subsequent SIRA. The casein fractions isolated underwent elemental analysis (H, C, and N), protein determination, and some also underwent SIRA of O and S. Two-way analysis of variance and Tukey post hoc comparisons tested differences between methods. Results: For each product, an optimised casein isolation method was chosen based on the C/N ratio and protein content. An optimum solvent lipid extraction (petroleum spirit-diethyl ether (2:1)) and casein precipitation method was chosen for cheddar cheese casein. A final solvent lipid extraction (heptane-isopropanol (3:2)) was necessary for WMP and butter casein extraction. δ Conclusions: Casein of high purity, for subsequent SIRA, can be isolated from cheddar cheese, WMP, and butter following modifications of previously published methods.
MeSH term(s)	Animals ; Butter/analysis ; Cheese/analysis ; Milk/chemistry ; Caseins ; Powders ; Isotopes ; Solvents
Chemical Substances	Butter (8029-34-3) ; Caseins ; Powders ; Isotopes ; Solvents
Language	English
Publishing date	2022-09-27
Publishing country	England
Document type	Journal Article
ZDB-ID	58731-x
ISSN	1097-0231 ; 0951-4198
ISSN (online)	1097-0231
ISSN	0951-4198
DOI	10.1002/rcm.9402
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Article ; Online: Transdiagnostic In Vivo Magnetic Resonance Imaging Markers of Neuroinflammation.

Oestreich, Lena K L / O'Sullivan, Michael J

Biological psychiatry. Cognitive neuroscience and neuroimaging

2022 Volume 7, Issue 7, Page(s) 638–658

Abstract: Accumulating evidence suggests that inflammation is not limited to archetypal inflammatory diseases such as multiple sclerosis, but instead represents an intrinsic feature of many psychiatric and neurological disorders not typically classified as ... ...

Abstract	Accumulating evidence suggests that inflammation is not limited to archetypal inflammatory diseases such as multiple sclerosis, but instead represents an intrinsic feature of many psychiatric and neurological disorders not typically classified as neuroinflammatory. A growing body of research suggests that neuroinflammation can be observed in early and prodromal stages of these disorders and, under certain circumstances, may lead to tissue damage. Traditional methods to assess neuroinflammation include serum or cerebrospinal fluid markers and positron emission tomography. These methods require invasive procedures or radiation exposure and lack the exquisite spatial resolution of magnetic resonance imaging (MRI). There is, therefore, an increasing interest in noninvasive neuroimaging tools to evaluate neuroinflammation reliably and with high specificity. While MRI does not provide information at a cellular level, it facilitates the characterization of several biophysical tissue properties that are closely linked to neuroinflammatory processes. The purpose of this review is to evaluate the potential of MRI as a noninvasive, accessible, and cost-effective technology to image neuroinflammation across neurological and psychiatric disorders. We provide an overview of current and developing MRI methods used to study different aspects of neuroinflammation and weigh their strengths and shortcomings. Novel MRI contrast agents are increasingly able to target inflammatory processes directly, therefore offering a high degree of specificity, particularly if used in conjunction with multitissue, biophysical diffusion MRI compartment models. The capability of these methods to characterize several aspects of the neuroinflammatory milieu will likely push MRI to the forefront of neuroimaging modalities used to characterize neuroinflammation transdiagnostically.
MeSH term(s)	Biomarkers ; Humans ; Magnetic Resonance Imaging/methods ; Neuroimaging/methods ; Neuroinflammatory Diseases ; Positron-Emission Tomography/methods
Chemical Substances	Biomarkers
Language	English
Publishing date	2022-01-17
Publishing country	United States
Document type	Journal Article ; Review ; Research Support, Non-U.S. Gov't
ZDB-ID	2879089-3
ISSN	2451-9030 ; 2451-9022
ISSN (online)	2451-9030
ISSN	2451-9022
DOI	10.1016/j.bpsc.2022.01.003
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Article ; Online: Delay activity during visual working memory: A meta-analysis of 30 fMRI experiments.

Li, Xuqian / O'Sullivan, Michael J / Mattingley, Jason B

NeuroImage

2022 Volume 255, Page(s) 119204

Abstract: Visual working memory refers to the temporary maintenance and manipulation of task-related visual information. Recent debate on the underlying neural substrates of visual working memory has focused on the delay period of relevant tasks. Persistent neural ...

Abstract	Visual working memory refers to the temporary maintenance and manipulation of task-related visual information. Recent debate on the underlying neural substrates of visual working memory has focused on the delay period of relevant tasks. Persistent neural activity throughout the delay period has been recognized as a correlate of working memory, yet regions demonstrating sustained hemodynamic responses show inconsistency across individual studies. To develop a more precise understanding of delay-period activations during visual working memory, we conducted a coordinate-based meta-analysis on 30 fMRI experiments involving 515 healthy adults with a mean age of 25.65 years. The main analysis revealed a widespread frontoparietal network associated with delay-period activity, as well as activation in the right inferior temporal cortex. These findings were replicated using different meta-analytical algorithms and were shown to be robust against between-study heterogeneity and publication bias. Further meta-analyses on different subgroups of experiments with specific task demands and stimulus types revealed similar delay-period networks, with activations distributed across the frontal and parietal cortices. The roles of prefrontal regions, posterior parietal regions, and inferior temporal areas are reviewed and discussed in the context of content-specific storage. We conclude that cognitive operations that occur during the unfilled delay period in visual working memory tasks can be flexibly expressed across a frontoparietal-temporal network depending on experimental parameters.
MeSH term(s)	Adult ; Brain Mapping ; Humans ; Magnetic Resonance Imaging ; Memory, Short-Term/physiology ; Parietal Lobe/physiology ; Temporal Lobe/physiology
Language	English
Publishing date	2022-04-12
Publishing country	United States
Document type	Journal Article ; Meta-Analysis ; Review ; Research Support, Non-U.S. Gov't
ZDB-ID	1147767-2
ISSN	1095-9572 ; 1053-8119
ISSN (online)	1095-9572
ISSN	1053-8119
DOI	10.1016/j.neuroimage.2022.119204
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Article ; Online: Supporting clinical decision making in the emergency department for paediatric patients using machine learning: A scoping review protocol.

Leonard, Fiona / O'Sullivan, Dympna / Gilligan, John / O'Shea, Nicola / Barrett, Michael J

PloS one

2023 Volume 18, Issue 11, Page(s) e0294231

Abstract: Introduction: Machine learning as a clinical decision support system tool has the potential to assist clinicians who must make complex and accurate medical decisions in fast paced environments such as the emergency department. This paper presents a ... ...

Abstract	Introduction: Machine learning as a clinical decision support system tool has the potential to assist clinicians who must make complex and accurate medical decisions in fast paced environments such as the emergency department. This paper presents a protocol for a scoping review, with the objective of summarising the existing research on machine learning clinical decision support system tools in the emergency department, focusing on models that can be used for paediatric patients, where a knowledge gap exists. Materials and methods: The methodology used will follow the scoping study framework of Arksey and O'Malley, along with other guidelines. Machine learning clinical decision support system tools for any outcome and population (paediatric/adult/mixed) for use in the emergency department will be included. Articles such as grey literature, letters, pre-prints, editorials, scoping/literature/narrative reviews, non-English full text papers, protocols, surveys, abstract or full text not available and models based on synthesised data will be excluded. Articles from the last five years will be included. Four databases will be searched: Medline (EBSCO), CINAHL (EBSCO), EMBASE and Cochrane Central. Independent reviewers will perform the screening in two sequential stages (stage 1: clinician expertise and stage 2: computer science expertise), disagreements will be resolved by discussion. Data relevant to the research question will be collected. Quantitative analysis will be performed to generate the results. Discussion: The study results will summarise the existing research on machine learning clinical decision support tools in the emergency department, focusing on models that can be used for paediatric patients. This holds the promise to identify opportunities to both incorporate models in clinical practice and to develop future models by utilising reviewers from diverse backgrounds and relevant expertise.
MeSH term(s)	Adult ; Humans ; Child ; Research Design ; Clinical Decision-Making ; Machine Learning ; Decision Support Systems, Clinical ; Emergency Service, Hospital ; Review Literature as Topic
Language	English
Publishing date	2023-11-16
Publishing country	United States
Document type	Journal Article
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0294231
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Article ; Online: Extensive Spontaneous Coronary Artery Dissection Associated With Thrombosis: A Surgical Challenge.

O'Sullivan, Katie E / Tong, Michael Z / Weiss, Aaron J / Bakaeen, Faisal G

JACC. Case reports

2023 Volume 10, Page(s) 101752

Abstract: Spontaneous coronary artery dissection is an uncommon cause of myocardial ischemia. Conservative management is the mainstay, although a few patients will require revascularization. We present a case of a 31-year-old woman whose extensive dissection ... ...

Abstract	Spontaneous coronary artery dissection is an uncommon cause of myocardial ischemia. Conservative management is the mainstay, although a few patients will require revascularization. We present a case of a 31-year-old woman whose extensive dissection necessitated coronary artery bypass grafting requiring an extended arteriotomy for excision of the thrombus and dissection flap. (
Language	English
Publishing date	2023-03-15
Publishing country	Netherlands
Document type	Case Reports
ISSN	2666-0849
ISSN (online)	2666-0849
DOI	10.1016/j.jaccas.2023.101752
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Article: Designing technology to support greater participation of people living with dementia in daily and meaningful activities.

Wilson, Michael / Doyle, Julie / Turner, Jonathan / Nugent, Ciaran / O'Sullivan, Dympna

Digital health

2024 Volume 10, Page(s) 20552076231222427

Abstract: Background: People living with dementia should be at the center of decision-making regarding their plans and goals for daily living and meaningful activities that help promote health and mental well-being. The human-computer interaction community has ... ...

Abstract	Background: People living with dementia should be at the center of decision-making regarding their plans and goals for daily living and meaningful activities that help promote health and mental well-being. The human-computer interaction community has recently begun to recognize the need to design technologies where the person living with dementia is an active rather than a passive user of technology in the management of their care. Methods: Data collection comprised semi-structured interviews and focus groups held with dyads of people with early-stage dementia (n = 5) and their informal carers (n = 4), as well as health professionals (n = 5). This article discusses findings from the thematic analysis of this qualitative data. Results: Analysis resulted in the construction of three main themes: (1) maintaining a sense of purpose and identity, (2) learning helplessness and (3) shared decision-making and collaboration. Within each of the three main themes, related sub-themes were also constructed. Discussion: There is a need to design technologies for persons living with dementia/carer dyads that can support collaborative care planning and engagement in meaningful activities while also balancing persons living with dementia empowerment and active engagement in self-management with carer support.
Language	English
Publishing date	2024-01-15
Publishing country	United States
Document type	Journal Article
ZDB-ID	2819396-9
ISSN	2055-2076
ISSN	2055-2076
DOI	10.1177/20552076231222427
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