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Orbital inflammatory disease (OID) is an inflammatory condition of the orbital and periorbital region. This case reports suspected Lyme neuroborreliosis underlying an initial presentation of OID in a 37-year-old male. Myositis was confirmed by computed tomography (CT) imaging. Cranial neuritis of the third, fifth, and seventh cranial nerves was evidenced by magnetic resonance imaging (MRI). Serology was positive for Borrelia burgdorferi IgM, but did not seroconvert to positive IgG. Thus, the rare diagnosis of orbital myositis as a presenting feature of suspected Lyme neuroborreliosis was established.

Uveal melanoma (UM) is the most common intraocular malignancy in adults. Recent advances highlight the role of tumor-derived extracellular vesicles (TEV) and circulating hybrid cells (CHC) in UM tumorigenesis. Bridged with liquid biopsies, a novel technology that has shown incredible performance in detecting cancer cells or products derived from tumors in bodily fluids, it can significantly impact disease management and outcome. The aim of this comprehensive literature review is to provide a summary of current knowledge and ongoing advances in posterior UM pathophysiology, diagnosis, and treatment. The first section of the manuscript discusses the complex and intricate role of TEVs and CHCs. The second part of this review delves into the epidemiology, etiology and risk factors, clinical presentation, and prognosis of UM. Third, current diagnostic methods, ensued by novel diagnostic tools for the early detection of UM, such as liquid biopsies and artificial intelligence-based technologies, are of paramount importance in this review. The fundamental principles, limits, and challenges associated with these diagnostic tools, as well as their potential as a tracker for disease progression, are discussed. Finally, a summary of current treatment modalities is provided, followed by an overview of ongoing preclinical and clinical research studies to provide further insights on potential biomolecular pathway alterations and therapeutic targets for the management of UM. This review is thus an important resource for all healthcare professionals, clinicians, and researchers working in the field of ocular oncology.

Introduction: Food insecurity-the inadequate access to food due to financial constraints-affects 1 in 6 households in Canada, with serious health implications. Family benefit programs supplementing income have shown potential in mitigating the risk of food insecurity, but there is little understanding of their protective effects. The authors aimed to estimate the impacts of the additional Canada Child Benefit provided to families with children aged <6 years on household food insecurity., Methods: The authors sampled 28,435 households receiving Canada Child Benefit with children aged <8 years from the Canadian Income Survey 2018-2020 fielded in 2019-2021 and analyzed in 2022. Households without children aged <6 years were 1:1 propensity-score matched to those with children aged <6 years, who received up to $1,068 in additional Canada Child Benefit per child annually. The authors compared the 2 groups' 12-month food insecurity likelihood after matching. Subsample analyses were performed by household income, housing tenure, and household type., Results: Receipt of the additional Canada Child Benefit ($724 on average) was associated with 2.89 (95% CI=1.35, 4.42) percentage points lower probability of experiencing food insecurity among recipients with children aged <6 years (from 24.30% to 21.42%). The association was similar across socioeconomic subgroups and significant among all but high-income earners and mortgage-free homeowners., Conclusions: The authors found plausibly causal evidence that the more generous Canada Child Benefit for Canadian families with young children reduces their probability of food insecurity. Increasing benefits for economically disadvantaged households, characterized by low incomes, single parenthood, and renting (versus owning), may improve the program's efficiency and equity in supporting families' food security., (Copyright © 2023 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Introduction: Within a medical context, empathy is defined as "an appropriate understanding and communication of a patient's experience." While it has been established that empathy is an important quality to have as a doctor, studies have shown that empathy in medical students declines during their clinical years. However, there are no studies to date that evaluate medical student empathy in Canada. Therefore, we aimed to evaluate medical student empathy at McGill University Medical School using the Jefferson Scale of Empathy (JSE)., Methods: We used a cross-sectional study design and invited medical students across all 4 years, in October 2019, to complete the JSE. The JSE is a validated psychometric tool that measures empathy at one point in time. The survey was distributed via email and on social media., Results: A total of 133 students from all 4 years responded, proportionate across each year; 119 responses were included in analysis. Differences in mean questionnaire were not statistically significant for gender, age or specialty interest. The analysis of variance for differences in year of medical school was significant ( P =.0104). Between groups analysis revealed a statistically significant decrease between Med-2 empathy scores (average score 117.6) and Med-3 (107.5), P <.01. Multivariable analysis demonstrated the decrease in empathy remained statistically significant ( P <.05)., Discussion: Our statistical analysis determined that medical students' empathy declines between the second and third year of medical school in a Canadian context, consistent with global results. This information can help target changes in the medical curriculum to preserve empathy in students, and prevent this decline, which could then be applied to other medical schools internationally., (© 2022 by the Society of Teachers of Family Medicine.)

Phosphine-borane complexes are novel chemical entities with preclinical efficacy in neuronal and ophthalmic disease models. In vitro and in vivo studies showed that the metabolites of these compounds are capable of cleaving disulfide bonds implicated in the downstream effects of axonal injury. A difficulty in using standard in silico methods for studying these drugs is that most computational tools are not designed for borane-containing compounds. Using in silico and machine learning methodologies, the absorption-distribution properties of these unique compounds were assessed. Features examined with in silico methods included cellular permeability, octanol-water partition coefficient, blood-brain barrier permeability, oral absorption and serum protein binding. The resultant neural networks demonstrated an appropriate level of accuracy and were comparable to existing in silico methodologies. Specifically, they were able to reliably predict pharmacokinetic features of known boron-containing compounds. These methods predicted that phosphine-borane compounds and their metabolites meet the necessary pharmacokinetic features for orally active drug candidates. This study showed that the combination of standard in silico predictive and machine learning models with neural networks is effective in predicting pharmacokinetic features of novel boron-containing compounds as neuroprotective drugs.

Background: Psychological safety is the concept by which individuals feel comfortable expressing themselves in a work environment, without fear of embarrassment or criticism from others. Psychological safety in healthcare is associated with improved patient safety outcomes, enhanced physician engagement and fostering a creative learning environment. Therefore, it is important to establish the key levers which can act as facilitators or barriers to establishing psychological safety. Existing literature on psychological safety in healthcare teams has focused on secondary care, primarily from an individual profession perspective. In light of the increased focus on multidisciplinary work in primary care and the need for team-based studies, given that psychological safety is a team-based construct, this study sought to investigate the facilitators and barriers to psychological safety in primary care multidisciplinary teams., Methods: A mono-method qualitative research design was chosen for this study. Healthcare professionals from four primary care teams (n = 20) were recruited using snowball sampling. Data collection was through semi-structured interviews. Thematic analysis was used to generate findings., Results: Three meta themes surfaced: shared beliefs, facilitators and barriers to psychological safety. The shared beliefs offered insights into the teams' background functioning, providing important context to the facilitators and barriers of psychological safety specific to each team. Four barriers to psychological safety were identified: hierarchy, perceived lack of knowledge, personality and authoritarian leadership. Eight facilitators surfaced: leader and leader inclusiveness, open culture, vocal personality, support in silos, boundary spanner, chairing meetings, strong interpersonal relationships and small groups., Conclusion: This study emphasises that factors influencing psychological safety can be individualistic, team-based or organisational. Although previous literature has largely focused on the role of leaders in promoting psychological safety, safe environments can be created by all team members. Members can facilitate psychological safety in instances where positive leadership behaviours are lacking - for example, strengthening interpersonal relationships, finding support in silos or rotating the chairperson in team meetings. It is anticipated that these findings will encourage practices to reflect on their team dynamics and adopt strategies to ensure every member's voice is heard.

The coronavirus disease (COVID-19) pandemic has not only been catastrophic toward patient health but has also proven to be incredibly disruptive to several industries and sectors, including medical education. However, many medical schools have employed various technological solutions in order to minimize the disruption to medical education during this unpredictable time. This viewpoint reviews the various current and potential applications of technology in order to adapt medical education amidst a global pandemic., (©Ridhaa Remtulla. Originally published in JMIR Medical Education (http://mededu.jmir.org), 17.07.2020.)

Background: Bipolar disorder is chronic and debilitating. Studies investigating resting-state functional connectivity in individuals with bipolar disorder may help to inform neurobiological models of illness., Methods: We conducted a systematic review with the following goals: to summarize the literature on resting-state functional connectivity in bipolar disorder during clinical remission (euthymia) compared with healthy controls; to critically appraise the literature and research gaps; and to propose directions for future research. We searched PubMed/MEDLINE, Embase, PsycINFO, CINAHL and grey literature up to April 2017., Results: Twenty-three studies were included. The most consistent finding was the absence of differences in resting-state functional connectivity of the default mode network (DMN), frontoparietal network (FPN) and salience network (SN) between people with bipolar disorder and controls, using independent component analysis. However, 2 studies in people with bipolar disorder who were positive for psychosis history reported DMN hypoconnectivity. Studies using seed-based analysis largely reported aberrant resting-state functional connectivity with the amygdala, ventrolateral prefrontal cortex, cingulate cortex and medial prefrontal cortex in people with bipolar disorder compared with controls. Few studies used regional homogeneity or amplitude of low-frequency fluctuations., Limitations: We found heterogeneity in the analysis methods used., Conclusion: Stability of the DMN, FPN and SN may reflect a state of remission. Further, DMN hypoconnectivity may reflect a positive history of psychosis in patients with bipolar disorder compared with controls, highlighting a potentially different neural phenotype of psychosis in people with bipolar disorder. Resting-state functional connectivity changes between the amygdala, prefrontal cortex and cingulate cortex may reflect a neural correlate of subthreshold symptoms experienced in bipolar disorder euthymia, the trait-based pathophysiology of bipolar disorder and/or a compensatory mechanism to maintain a state of euthymia.

Individuals with Down syndrome (DS) are more likely to experience earlier onset of multiple facets of physiological aging. This includes brain atrophy, beta amyloid deposition, cognitive decline, and Alzheimer's disease-factors indicative of brain aging. Here, we employed a machine learning approach, using structural neuroimaging data to predict age (i.e., brain-predicted age) in people with DS (N = 46) and typically developing controls (N = 30). Chronological age was then subtracted from brain-predicted age to generate a brain-predicted age difference (brain-PAD) score. DS participants also underwent [ 11 C]-PiB positron emission tomography (PET) scans to index the levels of cerebral beta amyloid deposition, and cognitive assessment. Mean brain-PAD in DS participants' was +2.49 years, significantly greater than controls (p < 0.001). The variability in brain-PAD was associated with the presence and the magnitude of PiB-binding and levels of cognitive performance. Our study indicates that DS is associated with premature structural brain aging, and that age-related alterations in brain structure are associated with individual differences in the rate of beta amyloid deposition and cognitive impairment., (Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.)