Small group learning

Small molecule drugs can be used to target nucleic acids (NA) to regulate biological processes. Computational modeling methods, such as molecular docking or scoring functions, are commonly employed to facilitate drug design. However, the accuracy of the scoring function in predicting the closest-to-native docking pose is often suboptimal. To overcome this problem, a machine learning model, RmsdXNA, was developed to predict the root-mean-square-deviation (RMSD) of ligand docking poses in NA complexes. The versatility of RmsdXNA has been demonstrated by its successful application to various complexes involving different types of NA receptors and ligands, including metal complexes and short peptides...

Small group-based instructional approaches such as case-based learning (CBL) and team-based learning (TBL) are widely used in medical education to promote collaboration and team learning. During the pandemic, many medical schools shifted from face-to-face instruction to online settings. While CBL/TBL are intended to foster collaborative skills, it is unclear how its use evolves in an online setting and whether the online setting impacts students' perceptions and behaviors in collaboration. This study examined how the change from in-person to online CBL/TBL impacted students' collaboration...

INTRODUCTION: Pediatric behavioral and mental health (BMH) disorders are increasingly common, but most pediatricians feel inadequately trained to manage them. We implemented a case-based, longitudinal curriculum in BMH within a pediatric residency program to prepare trainees to diagnose and manage these conditions. METHODS: The pediatric residency program at Wright State University/Wright-Patterson Medical Center implemented a new BMH curriculum in 2020-2021. The curriculum consisted of five simulated cases involving depression, anxiety, attention deficit disorder with hyperactivity (ADHD), developmental delays, behavioral concerns, and autism...

BACKGROUND: In patients with non-small cell lung cancer (NSCLC), interstitial lung abnormalities (ILA) have been linked to mortality and can be identified on computed tomography (CT) scans. In the present study we aimed to evaluate the predictive value of automatically quantified ILA based on the Fleischner Society definition in patients with stage I NSCLC. METHODS: We retrospectively reviewed 948 patients with pathological stage I NSCLC who underwent pulmonary resection between April 2009 and October 2022...

In the realm of predictive toxicology for small molecules, the applicability domain of QSAR models is often limited by the coverage of the chemical space in the training set. Consequently, classical models fail to provide reliable predictions for wide classes of molecules. However, the emergence of innovative data collection methods such as intensive hackathons have promise to quickly expand the available chemical space for model construction. Combined with algorithmic refinement methods, these tools can address the challenges of toxicity prediction, enhancing both the robustness and applicability of the corresponding models...

AIM: The objective of this study is to explore the diagnostic value of machine learning (ML) in borderline ovarian tumors through meta-analysis. METHODS: Pubmed, Embase, Web of Science, and Cochrane Library databases were comprehensively retrieved from database inception untill February 16, 2023. The Prediction Model Risk of Bias Assessment Tool (PROBAST) was adopted to evaluate the risk of bias in the original studies. Sub-group analyses of ML were conducted according to clinical features and radiomics features...

BACKGROUND: Since 2014, several clinical studies focusing on centronuclear myopathies have been conducted, including a prospective natural history study, a gene transfer clinical trial and a clinical trial using an antisense oligonucleotide. Dedicated patient organizations have played an important role in this process. The experience of members of these organizations, either as a study participant, parent or as a patient organization member communicating with the sponsors are potentially very informative for future trial design...

BACKGROUND: The United Nations' Sustainable Development Goal 4, and particularly target 4.2, which seeks to ensure that, by 2030, all children have access to quality early childhood development, care, and preprimary education so that they are ready for primary education, is far from being achieved. The COVID-19 pandemic compromised progress by disrupting education, reducing access to well-being resources, and increasing family violence. Evidence from low- and middle-income countries suggests that in-person parenting interventions are effective at improving child learning and preventing family violence...

Yoga is used widely as a therapeutic tool for physical and mental well-being. However, greater understanding of the effect yoga may have on young people who require additional support for learning is warranted. Therefore, the aim of the present study was to assess the feasibility of delivering and evaluating an 8-week school-based yoga program targeted to children with additional support needs in a mainstream primary school. Data were collected from 11 pupils (aged 4-12) with additional support needs. The Behavior Rating Inventory of Executive Function and Strengths and Difficulties Questionnaire were completed pre- and postintervention by parents and the pupil's schoolteachers...

Continuing medical education plays a pivotal role in fostering and upholding the standard of excellence in medicine. Both SPOC (small private online course) and BOPPPS (bridge-in, learning objective, pretest, participatory learning, posttest, and summary) methodologies are rooted in the same educational and learning theories, emphasizing active student engagement, interaction, and feedback. Using ultrasound-guided spinal anesthesia as an exemplar, we aimed to investigate the feasibility of blended teaching (combination of BOPPPS and SPOC) for anesthesiology clinicians and explore trainees' and trainers' perspectives towards the innovative method...

Strong scientific writing skills are the foundation of a successful research career and require training and practice. Although these skills are critical for completing a PhD, most students receive little formal writing instruction prior to joining a graduate program. In 2015, the University of Iowa Medical Scientist Training Program (MSTP) addressed this issue by developing the scientific writing course Grant Writing Basics (GWB). Here we describe the structure of this course and its effectiveness. GWB is an interactive, workshop-based course that uses a National Institutes of Health (NIH) F30 predoctoral fellowship proposal as a platform for building writing expertise...

There have been previous studies conducted to predict postoperative lung function with pulmonary function tests (PFTs). Computing tomography (CT) can quantitatively measure small airway walls' thickness, lung volume, pulmonary vessel volume, and emphysema area, which reflect the severity of respiratory diseases. These measurements are considered imaging biomarkers. This study aimed to predict postoperative lung function with imaging biomarkers. A retrospective analysis of 79 patients with lung cancer who had undergone lung surgery was completed...

BACKGROUND: The Society of American Gastrointestinal and Endoscopic Surgeons (SAGES) has long recognized and championed increasing diversity within the surgical workplace. SAGES initiated the Fundamentals of Leadership Development (FLD) Curriculum to address these needs and to provide surgeon leaders with the necessary tools and skills to promote diversity, equity, and inclusion (DEI) in surgical practice. In 2019, the American College of Surgeons issued a request for anti-racism initiatives which lead to the partnering of the two societies...

BACKGROUND AND PURPOSE: As healthcare providers increasingly focus on emerging issues of diversity, equity and inclusion (DEI) in patient care, less is known about the training in postgraduate year one (PGY1) pharmacy residency on DEI clinical documentation considerations. This pilot project explored whether training, discussion and self-reflection within a peer review activity promoted DEI self-awareness in clinical documentation through a centralized curriculum of a multisite PGY1. EDUCATIONAL ACTIVITY AND SETTING: Building upon an established peer review of clinical documentation activity, PGY1 pharmacy residents practicing in ambulatory care settings received training on DEI considerations and completed small and large group discussions, a post-activity mixed methods survey with self-reflection prompts, and a three-month follow-up survey...

BACKGROUND: The COVID-19 pandemic highlighted the necessity of equipping health professionals with knowledge and skills to effectively use digital technology for healthcare delivery. However, questions persist about the best approach to effectively educate future health professionals for this. A workshop at the 15th Nursing Informatics International Congress explored this issue. OBJECTIVE: To report findings from an international participatory workshop exploring pre-registration informatics implementation experiences...

A core feature of behavior analysis is the single-subject design, in which each subject serves as its own control. This approach is powerful for identifying manipulations that are causal to behavioral changes but often fails to account for individual differences, particularly when coupled with a small sample size. It is more common for other subfields of psychology to use larger-N approaches; however, these designs also often fail to account for the individual by focusing on aggregate-level data only. Moving forward, it is important to study individual differences to identify subgroups of the population that may respond differently to interventions and to improve the generalizability and reproducibility of behavioral science...

Several studies predicting Functional Connectivity (FC) from Structural Connectivity (SC) at individual level have been published in recent years, each promising increased performance and utility. We investigated three of these studies, analyzing whether the results truly represent a meaningful individual-level mapping from SC to FC. Using data from the Human Connectome Project shared accross the three studies, we constructed a predictor by averaging FC of training data and analyzed its performance in the same way...

Background and study aims Capsule endoscopy (CE) is commonly used as the initial exam for suspected mid-gastrointestinal bleeding after normal upper and lower endoscopy. Although the assessment of the small bowel is the primary focus of CE, detecting upstream or downstream vascular lesions may also be clinically significant. This study aimed to develop and test a convolutional neural network (CNN)-based model for panendoscopic automatic detection of vascular lesions during CE. Patients and methods A multicentric AI model development study was based on 1022 CE exams...

During robot-assisted therapy, a robot typically needs to be partially or fully controlled by therapists, for instance using a Wizard-of-Oz protocol; this makes therapeutic sessions tedious to conduct, as therapists cannot fully focus on the interaction with the person under therapy. In this work, we develop a learning-based behaviour model that can be used to increase the autonomy of a robot's decision-making process. We investigate reinforcement learning as a model training technique and compare different reward functions that consider a user's engagement and activity performance...

Introduction Indirect laryngoscopy has become a widely accepted method for learning the techniques of airway management. The incorporation of small, less expensive, and yet more reliable video cameras in laryngoscopes has given the process of laryngoscopy and intubation a big leap. The King Vision video laryngoscope (Medline Industries, USA) has demonstrated promise in several settings while the Linscope video laryngoscope (Centrum, Turkey) is a newly launched device and no literature is available to the best of our knowledge...