Assessing spatial sequencing and imaging approaches to capture the molecular and pathological heterogeneity of archived cancer tissues.

Spatial transcriptomics (ST) offers enormous potential to decipher the biological and pathological heterogeneity in precious archival cancer tissues. Traditionally, these tissues have rarely been used and only examined at a low throughput, most commonly by histopathological staining. ST adds thousands of times as many molecular features to histopathological images, but critical technical issues and limitations require more assessment of how ST performs on fixed archival tissues.

Adaptive functioning in children and young adults with monogenic neurodevelopmental disorders.

Aim: To examine the adaptive behaviour profiles of children with monogenic neurodevelopmental disorders (NDDs) to determine whether syndrome-specific or transdiagnostic approaches provide a better understanding of the adaptive behavioural phenotypes of these NDDs.

Method: This cross-sectional study included parents and caregivers of 243 (48% female) individuals (age range = 1-25 years; mean = 8 years 10 months, SD = 5 years 8 months) with genetically confirmed monogenic NDDs (CDK13, DYRK1A, FOXP2, KAT6A, KANSL1, SETBP1, BRPF1, and DDX3X). Parents and caregivers completed the Vineland Adaptive Behavior Scales, Third Edition to assess communication, daily living, socialization, and motor skills.

A global review of national guidelines of post-exposure prophylaxis for the prevention of HIV.

Introduction: The World Health Organization (WHO) recommends the use of antiretroviral drugs as post-exposure prophylaxis (PEP) for preventing HIV acquisition for occupational and non-occupational exposures. To inform the development of global WHO recommendations on PEP, we reviewed national guidelines of PEP for their recommendations.

Methods: Policies addressing PEP from 38 WHO HIV priority countries were obtained by searching governmental and non-governmental websites and consulting country and regional experts; these countries were selected based on HIV burden, new HIV acquisitions and the number of HIV-associated deaths.

Machine learning approaches for risk prediction after percutaneous coronary intervention: a systematic review and meta-analysis.

Aims: Accurate prediction of clinical outcomes following percutaneous coronary intervention (PCI) is essential for mitigating risk and peri-procedural planning. Traditional risk models have demonstrated a modest predictive value. Machine learning (ML) models offer an alternative risk stratification that may provide improved predictive accuracy.

Advanced electrocardiography heart age: a prognostic, explainable machine learning approach applicable to sinus and non-sinus rhythms.

Aims: An explainable advanced electrocardiography (A-ECG) Heart Age gap is the difference between A-ECG Heart Age and chronological age. This gap is an estimate of accelerated cardiovascular aging expressed in years of healthy human aging, and can intuitively communicate cardiovascular risk to the general population. However, existing A-ECG Heart Age requires sinus rhythm.

A 3D decoupling Alzheimer's disease prediction network based on structural MRI.

Purpose: This paper aims to develop a three-dimensional (3D) Alzheimer's disease (AD) prediction method, thereby bettering current predictive methods, which struggle to fully harness the potential of structural magnetic resonance imaging (sMRI) data.

Methods: Traditional convolutional neural networks encounter pressing difficulties in accurately focusing on the AD lesion structure. To address this issue, a 3D decoupling, self-attention network for AD prediction is proposed.

Utility of large V-Y advancement of the latissimus dorsi myocutaneous flap in the reconstruction of large thoracic defects: a case series and literature review.

Background: Trunk reconstruction following sarcoma excision involves significant defects. Pedicled and free latissimus dorsi myocutaneous flap (LDMF) reconstruction is commonly employed for thoracic defects; however, skin paddle design is limited to 10-12 cm to achieve primary donor closure. Paucity of data exists regarding the utility of V-Y advancement of LDMF, previously described for moderately sized thoracic defects.

AI-pocalypse now: Automating the systematic literature review with SPARK (Systematic processing and automated review Kit) - gathering, organising, filtering, and scaffolding.

Researchers today face significant challenges reshaping the landscape of academic, government, and industry research due to the exponential growth of global research outputs and the advent of Generative Artificial Intelligence (GenAI). The annual increase in published works has made it difficult for traditional literature review and data analysis methods to keep pace, often rendering reviews outdated by the time of publication. In response, this methods article introduces a suite of new tools designed to automate a number of stages for systematic literature reviews.

Reinventing the evaluation wheel: COGwheel's co-designed digital innovation using the Qualtrics heat map.

The involvement of service-users, clinicians, and other health service end-users is recognised as an essential part of health and medical research. This collaborative approach can significantly contribute to methodological advancements including the development of research instruments and measures that ensure their suitability for research participants. The current paper details the co-design, development and implementation of the novel, digitised COGwheel (Co-designed Outcomes for Guests Evaluation Wheel).

Enhancing semantic segmentation for autonomous vehicle scene understanding in indian context using modified CANet model.

Recent advancements in artificial intelligence (AI) have increased interest in intelligent transportation systems, particularly autonomous vehicles. Safe navigation in traffic-heavy environments requires accurate road scene segmentation, yet traditional computer vision methods struggle with complex scenarios. This study emphasizes the role of deep learning in improving semantic segmentation using datasets like the Indian Driving Dataset (IDD), which presents unique challenges in chaotic road conditions.

Bone imaging modality precision and agreement between DXA, pQCT, and HR-pQCT.

Quantifying precision error for DXA, peripheral QCT (pQCT), and HR-pQCT is crucial for monitoring longitudinal changes in body composition and musculoskeletal outcomes. Agreement and associations between bone variables assessed using pQCT and second-generation HR-pQCT are unclear. This study aimed to determine the precision of, and agreement and associations between, bone variables assessed via DXA, pQCT, and second-generation HR-pQCT.

Molecular profiling of frontal and occipital subcortical white matter hyperintensities in Alzheimer's disease.

White matter hyperintensities (WMHs) are commonly detected on T2-weighted magnetic resonance imaging (MRI) scans, occurring in both typical aging and Alzheimer's disease (AD). Despite their frequent appearance and their association with cognitive decline in AD, the molecular factors contributing to WMHs remain unclear. In this study, we investigated the transcriptomic profiles of two commonly affected brain regions with coincident AD pathology-frontal subcortical white matter (frontal-WM) and occipital subcortical white matter (occipital-WM)-and compared with age-matched cognitively intact controls.

Early subacute frontal callosal microstructure and language outcomes after stroke.

The integrity of the frontal segment of the corpus callosum, forceps minor, is particularly susceptible to age-related degradation and has been associated with cognitive outcomes in both healthy and pathological ageing. The predictive relevance of forceps minor integrity in relation to cognitive outcomes following a stroke remains unexplored. Our goal was to evaluate whether the heterogeneity of forceps minor integrity, assessed early after stroke onset (2-6 weeks), contributes to explaining variance in longitudinal outcomes in post-stroke aphasia.

Human-interpretable clustering of short text using large language models.

Clustering short text is a difficult problem, owing to the low word co-occurrence between short text documents. This work shows that large language models (LLMs) can overcome the limitations of traditional clustering approaches by generating embeddings that capture the semantic nuances of short text. In this study, clusters are found in the embedding space using Gaussian mixture modelling.

Changes in platelet maturity and reactivity following acute ST-segment elevation myocardial infarction.

Background: Reduced effect of antiplatelet therapy has been reported in patients with ST-segment elevation myocardial infarction (STEMI). This could partly be explained by an increase of highly reactive immature platelets.

Objectives: To investigate changes in platelet maturity and reactivity after acute STEMI.

Diverged Populations Admixture Bolsters Genetic Diversity of a New Island Dibbler () Population, but Does Not Prevent Subsequent Loss of Genetic Variation.

Translocating individuals from multiple source populations is one way to bolster genetic variation and avoid inbreeding in newly established populations. However, mixing isolated populations, especially from islands, can potentially lead to outbreeding depression and/or assortative mating, which may limit interbreeding between source populations. Here, we investigated genetic consequences of mixing individuals from two island populations of the dibbler () in an island translocation.

Discovering topics and trends in biosecurity law research: A machine learning approach.

This study employed machine learning techniques, specifically Latent Dirichlet Allocation (LDA), to analyze 559 articles on biosecurity legislation from 1996 to 2023. The LDA model identified nine key research topics, including Agricultural Management and Production, Biosafety and Environmental Impact, Biological Invasion and Regulation, Biosecurity Legislation and Prevention, Agriculture and Environmental Relations, Virus Infection and Governance, Health Risk Assessment and Detection, Disease Prevention and Biotechnology, and Policy Control and Research. The findings reveal significant trends: an increasing focus on Biosecurity Legislation and Prevention and a declining interest in Agricultural Management and Production.

Urethra-sparing prostate cancer radiotherapy: Current practices and future insights from an international survey.

Purpose: In prostate cancer patients, high radiation doses to the urethra have been associated with an increased risk of severe genitourinary toxicity following dose-escalated radiotherapy. Urethra-sparing techniques have emerged as a promising approach to reduce urinary toxicity. This international survey aims to evaluate current global practices in urethra-sparing and explore future directions for the implementation of this technique in external beam radiotherapy (EBRT) for prostate cancer.

Human perception of art in the age of artificial intelligence.

Recent advancement in Artificial Intelligence (AI) has rendered image-synthesis models capable of producing complex artworks that appear nearly indistinguishable from human-made works. Here we present a quantitative assessment of human perception and preference for art generated by OpenAI's DALL·E 2, a leading AI tool for art creation. Participants were presented with pairs of artworks, one human-made and one AI-generated, in either a preference-choice task or an origin-discrimination task.

Cystectomy for bilateral thigh fistulation after salvage radiotherapy for prostate cancer: A case report.

Fistulation following radiotherapy for prostate cancer is a rare occurrence that can have devastating consequences and often occurs after instrumentation. We present a 74-year-old male who underwent cystectomy for bilateral thigh fistulation years after radical prostatectomy and salvage radiotherapy for prostate cancer. MRI and CT cystogram confirmed fistulation from the anterior bladder tracking to bilateral thigh collections.

Fine-root and leaf acquisitive traits decoupled from chloride accumulation in reflecting the differential salinity tolerance among hybrids.

Improving crop salinity management requires enhanced understanding of salinity responses of leaf and fine-root traits governing resource acquisition, ideally in relation to ion accumulation at intra- or inter-specific levels. We hypothesized that these responses are coupled towards integrated resource conservation for plants under prolonged salt treatment. We tested the hypothesis with a glasshouse experiment on saplings of six contrasting hybrids, subjected to either control or salt treatment (reverse osmosis water versus 3.

Venous thromboembolic events following cytoreductive surgery for lower gastrointestinal neoplasia.

Introduction: Cytoreductive surgery (CRS) and intraperitoneal chemotherapy (IPC) represent a high-risk for venous thromboembolism (VTE) due to malignancy, prolonged surgery and immobility. We investigated the incidence of and risk factors for VTE following CRS/IPC.

Materials And Methods: Data was analysed on 130 CRS/IPC performed over a 6-year period at a single centre, the Western Australian Peritonectomy Service (WAPS), on lower gastrointestinal neoplasia: pseudomyxoma peritoneii (PMP), colorectal cancer (CRC) and appendix cancer (AC).

Basic self-disorders may play a role in the development of depression in schizophrenia: a seven-year follow-up study.

Introduction: Depression is the most common co-morbid psychiatric disorder in patients with schizophrenia and has a negative effect on functional outcomes and quality of life. There are several possible pathways leading to depressive symptoms in schizophrenia. Self-disorders are disturbances in the deepest, pre-reflective level of the self and are suggested to be core features of schizophrenia.

Delayed return of bowel function after general surgery in South Australia.

Introduction: Reference ranges for determining pathological versus normal postoperative return of bowel function are not well characterised for general surgery patients. This study aimed to characterise time to first postoperative passage of stool after general surgery; determine associations between clinical factors and delayed time to first postoperative stool; and evaluate the association between delay to first postoperative stool and prolonged length of hospital stay.

Methods: This study included consecutive admissions at two tertiary hospitals across a two-year period whom underwent a range of general surgery operations.