Investigating the impact of steroid dependence on gastrointestinal surgical outcomes from UK Biobank.

Although corticosteroids are an important treatment for inflammatory bowel disease (IBD) patients, many subjects develop dependence, leading to serious long-term side effects. We applied causal inference analyses to investigate the length of steroid use on reoperations in IBD patients. We identified subjects in the UK Biobank general practice dataset with at least one major GI surgery and followed them for at least 5 years to evaluate subsequent operations.

Attention and the forward testing effect.

Memory retrieval affects subsequent memory in both positive (e.g., the testing effect) and negative (e.

Prior knowledge and new learning: An experimental study of domain-specific knowledge.

It is commonly claimed that higher domain knowledge enhances new learning-the knowledge-is-power hypothesis. However, a recent meta-analysis (Simonsmeier et al., 2022) has challenged this idea, finding no overall relationship between prior knowledge and new learning across hundreds of highly variable effect sizes.

Metamemory judgments and design effects: Judgment of learning (JOL) reactivity in free recall is affected by study list structure.

Judgments of learning (JOLs) are designed to reveal processes of memory monitoring but recent research has shown that JOLs can also have reactive effects on memory performance. A recently proposed account for JOL reactivity is based on the item-specific/relational framework, a general account of memory encoding that has been applied to a wide range of memory phenomena. Importantly, the effects of these phenomena on free recall performance are generally moderated by list composition: the effects are stronger in mixed than pure list manipulations - that is, these phenomena exhibit design effects.

Evaluating the Predictive Features of Person-Centric Knowledge Graph Embeddings: Unfolding Ablation Studies.

Developing novel predictive models with complex biomedical information is challenging due to various idiosyncrasies related to heterogeneity, standardization or sparseness of the data. We previously introduced a person-centric ontology to organize information about individual patients, and a representation learning framework to extract person-centric knowledge graphs (PKGs) and to train Graph Neural Networks (GNNs). In this paper, we propose a systematic approach to examine the results of GNN models trained with both structured and unstructured information from the MIMIC-III dataset.

Increased metamemory accuracy with practice does not require practice with metamemory.

Given that learners do not always predict their future memory performance accurately, there is a need to better understand how metamemory accuracy can be improved. Prior research suggests that one way to improve is practice-participants tend to become better at predicting their future memory performance over the course of multi-trial learning experiments. However, it is currently unclear whether such improvements result from participants having practised making metamemory judgements or whether comparable improvements occur even in their absence.

Glaucoma severity at first presentation to an ophthalmologist and risk factors for late presentation in rural Australia: the S1P study.

Clinical Relevance: Well-targeted referrals and timely commencement of treatment are essential to limiting vision loss in glaucoma. Optometrists, primary care providers, and public health policymakers can utilise predictors of late to identify and target at-risk populations.

Background: This study, which aimed to evaluate glaucoma severity at first presentation to an ophthalmologist in a rural Australian population, is the first of its kind in an Australian population.

Investigating Cross-Domain Binary Relation Classification in Biomedical Natural Language Processing.

This paper addresses the challenge of binary relation classification in biomedical Natural Language Processing (NLP), focusing on diverse domains including gene-disease associations, compound protein interactions, and social determinants of health (SDOH). We evaluate different approaches, including fine-tuning Bidirectional Encoder Representations from Transformers (BERT) models and generative Large Language Models (LLMs), and examine their performance in zero and few-shot settings. We also introduce a novel dataset of biomedical text annotated with social and clinical entities to facilitate research into relation classification.

LGBTQIA+ Cultural Competence in Physical Therapist Education and Practice: A Qualitative Study From the Patients' Perspective.

Objective: The purpose of this study was to explore the experiences of cultural competence and humility among patients of the lesbian, gay, bisexual, transgender, queer, intersex, and asexual (LGBTQIA+) community in physical therapy. Researchers sought to understand the perspectives of adults over 18 years old who have received physical therapy and identify as a member of the LGBTQIA+ community.

Methods: A phenomenological qualitative approach was utilized for this study.

LGBTQIA+ Cultural Competence in Physical Therapy: An Exploratory Qualitative Study From the Clinician's Perspective.

Objective: The purpose of this study was to understand the lesbian, gay, bisexual, transgender, queer, intersex, agender, and other gender and sexually diverse identities (LGBTQIA+) health care experience and associated cultural competence from the physical therapist perspective (physical therapist and physical therapist assistant).

Methods: An exploratory qualitative approach implementing semi-structured focus groups and private interviews was utilized. To further anonymity, researchers allowed subjects to keep their camera off on Zoom.

Recurrence rates of periocular basal cell carcinoma following intra-operative en-face frozen section margin controlled excision.

Purpose: To report the margin control process and rate of recurrence of periocular basal cell carcinomas (BCCs) managed by en-face, frozen section margin controlled (FSC), excision by a single surgeon with a 3-year follow-up.

Methods: A retrospective analysis of all histopathologically proven cases of periocular BCC who underwent surgical excision with intra-operative, en-face, FSC, excision by a single surgeon from 2015 to 2019 was performed. Patients with less than 3-year follow-up were offered a virtual appointment to determine possible recurrence.

Automated Feature Selection from Medical Literature.

We propose an automated approach to rank the most salient variables related to a certain clinical phenomenon from scientific literature. Our solution is an automated approach to improve the efficiency of the collection of different health-related measures from a population, and to accelerate the discovery of novel associations and dependencies between health-related concepts.

Subtyping Gastrointestinal Surgical Outcomes from Real World Data: A Comprehensive Analysis of UK Biobank.

Chronic gastrointestinal (GI) conditions, such as inflammatory bowel diseases (IBD), offer a promising opportunity to create classification systems that can enhance the accuracy of predicting the most effective therapies and prognosis for each patient. Here, we present a novel methodology to explore disease subtypes using our open-sourced BiomedSciAI toolkit. Applying methods available in this toolkit on the UK Biobank, including subpopulation-based feature selection and multi-dimensional subset scanning, we aimed to discover unique subgroups from GI surgery cohorts.

Automatic Mapping of Terminology Items with Transformers.

Biomedical ontologies are a key component in many systems for the analysis of textual clinical data. They are employed to organize information about a certain domain relying on a hierarchy of different classes. Each class maps a concept to items in a terminology developed by domain experts.

Exploring the roles of distinctiveness and performance anticipation in the Attentional Boost Effect.

We tested the validity of two alternative accounts of the Attentional Boost Effect (ABE) - the finding that words associated with to-be-responded targets are recognized better than words associated with to-be-ignored distractors. The hypothesis assumes that, during recognition, participants probe their memories for distinctive information confirming that a word was studied (e.g.

Real-time administration of indocyanine green in combination with computer vision and artificial intelligence for the identification and delineation of colorectal liver metastases.

Introduction: Fluorescence guided surgery for the identification of colorectal liver metastases (CRLM) can be better with low specificity and antecedent dosing impracticalities limiting indocyanine green (ICG) usefulness currently. We investigated the application of artificial intelligence methods (AIM) to demonstrate and characterise CLRMs based on dynamic signalling immediately following intraoperative ICG administration.

Methods: Twenty-five patients with liver surface lesions (24 CRLM and 1 benign cyst) undergoing open/laparoscopic/robotic procedures were studied.

Transitive inference and the testing effect: Retrieval practice impairs transitive inference.

There is substantial interest in the extent to which the testing effect (the finding that retrieval practice enhances memory) extends to more complex forms of learning, especially those entailing greater element interactivity. Transitive inference (TI) requires just such interactivity, in which information must be combined across multiple learning elements or premises to extract an underlying structure. Picklesimer et al.

Evaluating Predictive Value of Surgical Resected Proximal Bone Margins in Diabetic Foot Osteomyelitis With Clinical Outcomes at 1 Year.

Background: Osteomyelitis of the diabetic foot remains a significant complication that may result in the need for amputation. Proximal surgical margin histopathology after limb-sparing amputation could be used to guide antimicrobial duration and prognostic management but remains debatable. Here we evaluate if negative proximal bone margins predict outcomes of diabetic foot osteomyelitis at 1 year.

The attentional boost effect facilitates the encoding of contextual details: New evidence with verbal materials and a modified recognition task.

In the attentional boost effect (ABE), words or images encoded with to-be-responded targets are later recalled better than words or images encoded with to-be-ignored distractors. The ABE has been repeatedly demonstrated to improve item memory, whereas evidence concerning contextual memory is mixed, with studies showing both significant and null results. The present three experiments investigated whether the ABE could enhance contextual memory when using a recognition task that allowed participants to reinstate the original study context, by simultaneously manipulating the nature of the instructions provided at encoding.

Action memory and metamemory.

Actions can enhance memory, exemplified by the enactment effect. In a typical experiment, participants hear a series of simple action phrases (e.g.

Discovering Associations between Social Determinants and Health Outcomes: Merging Knowledge Graphs from Literature and Electronic Health Data.

Social Determinants of Health (SDoH) are an increasingly important part of the broader research and public health efforts in understanding individuals' physical and mental well-being. Despite this, non-clinical factors affecting health are poorly recorded in electronic health databases and techniques to study how SDoH might relate to population outcomes are lacking. This paper proposes an approach to systematically identify and quantify associations between SDoH and health-related outcomes in a specific cohort of people by (1) leveraging published evidence from literature to build a knowledge graph of health and social factor associations and (2) analysing a large dataset of claims and medical records where those associations may be found.

Investigating a clinically actionable mutation for monitoring low-grade serous ovarian cancer: A case report.

Low-grade serous ovarian cancer (LGSOC) poses a specific clinical challenge due to advanced presentation at diagnosis and the lack of effective systemic treatments. The aim of this study was to use a precision medicine approach to identify clinically actionable mutations in a patient with recurrent LGSOC. Primary, metastatic and recurrence tissue, and blood samples were collected from a stage IV LGSOC patient.