Medicine and Health Sciences Commons^™

Ai In The Health Professions, Heidi Monroe, Carrie Fry, Phillip Baker, Erika Busz

AI and the Future of Work

The aim of this track is to provide health professionals, and those interested in mental health and healthcare careers with an understanding of key aspects of AI use in healthcare. Participants will explore advantages of some recent AI developments and evaluate how they may be effectively leveraged to improve patient care, while addressing potential challenges, limitations, and ethical considerations.

A Call For Better Understanding Household Complexity In Environmental Social Science, Rebecca Nixon, Brooke Mcwherter, Anna Erwin, Jonathan Bauchet, Zhao Ma

School of Earth, Environmental, & Marine Sciences Faculty Publications

No abstract provided.

Exploring The Correlation Between Climate Change And Influenza Activity In The Northeast United States, 2003-2023, Emily M. Posadas

Doctoral Dissertations and Projects

The influenza virus is influenced by a myriad of complex interactions with human and environmental factors, with changing climate patterns having significant effects on the health status of a population. This study investigates the correlation between climate change and influenza activity in the northeast United States from 2003 to 2023, providing insight and understanding into the interaction between the two variables. The anthropogenic factors that have contributed to climate change are recognized, and circulating seasonal and avian influenza viruses are discussed within the context of climate change. The investigation of the correlation between climate change and influenza activity across this …

The Role Of Media Education Courses In Developing The Skills Of Dealing With Digital Information And News Verification Among Teachers Of The Jordanian Ministry Of Education, Amjad Omar Safori Dr, Ibrahim Jamal Sorri

Middle East Journal of Communication Studies

The study sought to determine the role of media and information education courses provided by the Jordan Media Institute in developing the skills of teachers of the Jordanian Ministry of Education in dealing with digital information and news verification in Jordan, by using the public survey approach using the questionnaire tool on a deliberate sample of (316) teachers who participated. In training courses. The study concluded that the percentage of implementation of specialized activities and training in the field of media education increased by approximately 25% as aresult of teachers’ participation in specialized courses in this regard. The results indicated …

Perceptions Of Pharmacy Students Towards The Transition To Online Communication In Learning: Lessons From The Covid-19 Pandemic, Wejdan Shroukh Dr

Middle East Journal of Communication Studies

This study aims to explore the experiences of pharmacy students at Middle East University (MEU) in the transition to online communication in pharmacy education during the COVID-19 pandemic in the academic year 2021/2022.The current study follows an inductive qualitative research design based on conducting semi-structured interviews with students. Thematic analysis of data was carried out, and the six phases of analysis described by Braun and Clarke were followed. Data analysis yielded the following themes: acceptance of the transition to online communication in pharmacy education, the perceived difficulty of online courses delivered during the pandemic, drawbacks of online communication in pharmacy …

Impact Of An Online Decision Support Tool For Ductal Carcinoma In Situ (Dcis) Using A Pre-Post Design (Aft-25), Elissa Ozanne, Kellyn Maves, Angela Tramontano, Thomas Lynch, Alastair Thompson, Ann Partridge, Elizabeth Frank, Deborah Collyar, Desiree Basila, Donna Pinto, Terry Hyslop, Marc Ryser, Shoshana Rosenberg, E. Shelley Hwang, Rinaa Punglia

Department of Pharmacology and Experimental Therapeutics Faculty Papers

BACKGROUND: The heterogeneous biology of ductal carcinoma in situ (DCIS), as well as the variable outcomes, in the setting of numerous treatment options have led to prognostic uncertainty. Consequently, making treatment decisions is challenging and necessitates involved communication between patient and provider about the risks and benefits. We developed and investigated an interactive decision support tool (DST) designed to improve communication of treatment options and related long-term risks for individuals diagnosed with DCIS.

FINDINGS: The DST was developed for use by individuals aged > 40 years with DCIS and is based on a disease simulation model that integrates empirical data and …

Table Of Contents

Journal of the South Carolina Academy of Science

No abstract provided.

Cortisol And Alpha-Synuclein Stability In Saliva Under Varying Storage And Handling Conditions, Mo Zheng, Sujata Srikanth, Jeremiah Carpenter, Delphine Dean

Journal of the South Carolina Academy of Science

Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by motor impairments and non-motor symptoms, significantly impacting patients' quality of life. Currently, cerebrospinal fluid (CSF) is the primary biofluid used for PD biomarker studies, notably α-synuclein, despite the invasive nature of lumbar puncture procedures. Recent work has shown that some of these PD biomarkers have been measured in saliva. As an alternative to CSF, saliva can be non-invasively self-collected by patients repeatedly over time to monitor biomarker levels. However, the stability of these biomarkers in saliva needs to be evaluated before saliva can be considered for patient self-collection studies. Therefore, …

09.16.2024 Orsp Connect, Liz Williamson

ORED Newsletter

Human Research with AI workshop

External Funding Opportunities for Students

Review Of Data Bias In Healthcare Applications, Atharva Prakash Parate, Aditya Ajay Iyer, Kanav Gupta, Harsh Porwal, P. C. Kishoreraja, R. Sivakumar, Rahul Soangra

Physical Therapy Faculty Articles and Research

In the area of medical artificial intelligence (AI), data bias is a major difficulty that affects several phases of data collection, processing, and model building. The many forms of data bias that are common in AI in healthcare are thoroughly examined in this review study, encompassing biases related to socioeconomic status, race, and ethnicity as well as biases in machine learning models and datasets. We examine how data bias affects the provision of healthcare, emphasizing how it might worsen health inequalities and jeopardize the accuracy of AI-driven clinical tools. We address methods for reducing data bias in AI and focus …

Alphafold2 Modeling And Molecular Dynamics Simulations Of The Conformational Ensembles For The Sars-Cov-2 Spike Omicron Jn.1, Kp.2 And Kp.3 Variants: Mutational Profiling Of Binding Energetics Reveals Epistatic Drivers Of The Ace2 Affinity And Escape Hotspots Of Antibody Resistance, Nishank Raisinghani, Mohammed Alshahrani, Grace Gupta, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

AlphaFold2-based atomistic predictions of structures and conformational ensembles of the SARS-CoV-2 spike complexes with the host receptor ACE2 for the most dominant Omicron variants JN.1, KP.1, KP.2 and KP.3 to examine the mechanisms underlying the role of convergent evolution hotspots in balancing ACE2 binding and antibody evasion. Using the ensemble-based mutational scanning of the spike protein residues and computations of binding affinities, we identified binding energy hotspots and characterized the molecular basis underlying epistatic couplings between convergent mutational hotspots. The results suggested the existence of epistatic interactions between convergent mutational sites at L455, F456, Q493 positions that protect and restore …

Revolutionizing Medical Education: Harnessing Ai To Cultivate Critical Thinking Skills, Alex Zuo, Anthony L. Alanis

Research Colloquium

Our study intends to integrate AI-enabled tools in medical education, including but not limited to adaptive learning systems, virtual patients, and AI-enhanced assessment methods, to develop and foster critical thinking and problem-solving skills with the engagement of medical students. It is expected that this provides for a good environment for both teachers and students through workshops, online resources, and collaborative academic projects. We also consider AI-generated images and open educational resources that could augment curricula and personalize the experience for learners. Medical educators use storytelling, including AI for data storytelling, to package complex clinical data in approachable yet revealing ways …

Editorial: Centering Humanism In Stem Education, Desirée Forsythe, Sheila S. Jaswal, Bryan Dewsbury, Susannah Mcgowan

Biology, Chemistry, and Environmental Sciences Faculty Books and Book Chapters

"To understand why this Research Topic exists, it is important to recall the original goal from our call for proposals: to reorient STEM researchers and practitioners to reconsider the actual purpose of the practice of teaching and learning. Bryan Dewsbury often invokes us in his writing and talks to understand our why. As educators, we wish to provide insights, practices, and proposed theories to reflect on our WHY in STEM education—from one instructor’s empathetic approach to understanding the undergraduate student experience in gateway courses to the cultural initiation ceremonies at the disciplinary level. These components of humanism and the lens …

Assessing The Adequacy Of A Prediction Model, Abhaya Indrayan, Sakshi Mishra Ms

COBRA Preprint Series

No abstract provided.

Design And Implementation Of An Opioid Scorecard For Hospital System-Wide Peer Comparison Of Opioid Prescribing Habits: Observational Study, Benjamin Slovis, Soonyip Huang, Melanie Mcarthur, Cara Martino, Tasia Beers, Meghan Labella, Jeffrey Riggio, Edmund Pribitkin

Jefferson Hospital Staff Papers and Presentations

BACKGROUND: Reductions in opioid prescribing by health care providers can lead to a decreased risk of opioid dependence in patients. Peer comparison has been demonstrated to impact providers' prescribing habits, though its effect on opioid prescribing has predominantly been studied in the emergency department setting.

OBJECTIVE: The purpose of this study is to describe the development of an enterprise-wide opioid scorecard, the architecture of its implementation, and plans for future research on its effects.

METHODS: Using data generated by the author's enterprise vendor-based electronic health record, the enterprise analytics software, and expertise from a dedicated group of informaticists, physicians, and …

09.09.2024 Orsp Connect, Liz Williamson

ORED Newsletter

New training course available: Sponsored Travel Guidance

OpenScholar Overview

Learn about Nature Masterclasses On-Demand Training

NSF Sessions on Phase 1 ISBIR/STTR Proposals

A Case Demonstration Of The Open Health Natural Language Processing Toolkit From The National Covid-19 Cohort Collaborative And The Researching Covid To Enhance Recovery Programs For A Natural Language Processing System For Covid-19 Or Postacute Sequelae Of Sars Cov-2 Infection: Algorithm Development And Validation, Andrew Wen, Liwei Wang, Huan He, Sunyang Fu, Sijia Liu, David A Hanauer, Daniel R Harris, Ramakanth Kavuluru, Rui Zhang, Karthik Natarajan, Nishanth P Pavinkurve, Janos Hajagos, Sritha Rajupet, Veena Lingam, Mary Saltz, Corey Elowsky, Richard A Moffitt, Farrukh M Koraishy, Matvey B Palchuk, Jordan Donovan, Lora Lingrey, Garo Stone-Derhagopian, Robert T Miller, Andrew E Williams, Peter J Leese, Paul I Kovach, Emily R Pfaff, Mikhail Zemmel, Robert D Pates, Nick Guthe, Melissa A Haendel, Christopher G Chute, Hongfang Liu, National Covid Cohort Collaborative, Recover Initiative

Faculty, Staff and Student Publications

BACKGROUND: A wealth of clinically relevant information is only obtainable within unstructured clinical narratives, leading to great interest in clinical natural language processing (NLP). While a multitude of approaches to NLP exist, current algorithm development approaches have limitations that can slow the development process. These limitations are exacerbated when the task is emergent, as is the case currently for NLP extraction of signs and symptoms of COVID-19 and postacute sequelae of SARS-CoV-2 infection (PASC).

OBJECTIVE: This study aims to highlight the current limitations of existing NLP algorithm development approaches that are exacerbated by NLP tasks surrounding emergent clinical concepts and …

Multimodal Mixing Convolutional Neural Network And Transformer For Alzheimer’S Disease Recognition, Junde Chen, Yun Wang, Adnan Zeb, M. D. Suzauddola, Yuxin Wen

Engineering Faculty Articles and Research

Early recognition of Alzheimer’s disease (AD) and its precursor state, mild cognitive impairment (MCI), is pivotal in interrupting the progression of the disease and providing suitable treatment. Recent development in deep learning techniques has drawn great research attention for improving the efficacy of AD recognition. However, numerous current methods solely utilize data from a single auxiliary domain, limiting their ability to harness valuable intrinsic insights from multiple domains. To cope with the challenge, this paper is devoted to establishing an innovative multimodal medical data fusion model, termed as MMDF, to perform Alzheimer’s disease recognition. Multimodal data including clinical records and …

Improving Ligand Pharmacokinetics Via Bioisosteric Substitution Of Amides With 1, 2, 3-Triazoles While Maintaining Dopamine D4 Receptor Selectivity And Potency, Mohammad Alkhatib

Theses and Dissertations

Several neurophysiological functions, such as attention, cognition, and emotional regulation, are regulated by the binding of dopamine on G-Protein coupled receptors. D4Rs are mainly located in the prefrontal cortex and the hippocampus and are known to have a key role in decision-making, memory formation, cognition, and attention. Administration of D4Rs- selective ligands during the preclinical studies enhance the outcomes and the results in animal models suffering from neuropsychiatric disorders, including ADHD, substance use disorders (SUD), and Alzheimer's disease. Recently, we reported a group of D4R-selective ligands with different efficacies depending on their phenylpiperazine ring scaffold to illustrate D4R function during …

The Foodpunk City: Advancing Portland's Food Security Through A Shared Ideology Of Adaptation & Resistance, Nickolas Hash

Dissertations and Theses

Food injustice is a form of violence perpetrated by state and corporate actors against a constituency under their governing power, particularly impacting marginalized and impoverished communities. It denies individuals access to nutritious food, perpetuating cycles of poverty, inequality, physical health risks, and social exclusion. Grassroots movements have emerged to challenge dominant paradigms and advocate for food sovereignty, agroecology, and food anarchy. In Portland, the movement represents a nontraditional approach to food security that closely resembles the reactionary ideology of urban "punk" culture. Both groups prioritize community autonomy over food systems, sustainable agricultural practices, and resistance to oppressive structures that perpetuate …

Assessing The Accuracy And Utility Of Chatgpt Responses To Patient Questions Regarding Posterior Lumbar Decompression, Alec Giakas, Rajkishen Narayanan, Teeto Ezeonu, Jonathan Dalton, Yunsoo Lee, Tyler Henry, John Mangan, Gregory Schroeder, Alex Vaccaro, Christopher Kepler

Department of Orthopaedic Surgery Faculty Papers

Aim: To examine the clinical accuracy and applicability of ChatGPT answers to commonly asked questions from patients considering posterior lumbar decompression (PLD). Methods: A literature review was conducted to identify 10 questions that encompass some of the most common questions and concerns patients may have regarding lumbar decompression surgery. The selected questions were then posed to ChatGPT. Initial responses were then recorded, and no follow-up or clarifying questions were permitted. Two attending fellowship-trained spine surgeons then graded each response from the chatbot using a modified Global Quality Scale to evaluate ChatGPT’s accuracy and utility. The surgeons then analyzed each question, …

09.03.2024 Orsp Connect, Liz Williamson

ORED Newsletter

RED Talk

OpenScholar website opportunity

William Magee Institute for Student Wellbeing

Determining Drug Dosage Using Calculus, Rajendra Dahal, Keith Bullard

Journal of the South Carolina Academy of Science

For most drugs, there is a concentration below for which the drug is ineffective and a concentration above for which the drug is dangerous. In this paper, we will study how the dosage and dosing intervals can be modified to ensure a safe, yet efficient level of the drug in the bloodstream using calculus. In particular, we will study the concentration of a drug over time and its dosing schedule.

Examination Of Oncogenic Effects Of Environmental Pollutants, Andrew Ackerman, Matthew Behling, Brock Earley, Janay Vacharasin

Journal of the South Carolina Academy of Science

Chemical byproducts produced by surrounding industrial complexes have polluted the local estuaries of Georgetown, South Carolina for several decades¹. Previous studies completed by the EPA and SCDNR showed that the estuaries contained carcinogenic pollutants released from the local manufacturing plants¹. One of the mentioned pollutants was dioxins which are produced during the paper bleaching process². Dioxins are highly toxic compounds that have various carcinogenic effects on the organisms that inhabit the area. These previous studies were conducted over thirty years ago. Therefore, a current study to determine if chemical byproducts are contaminating local estuaries …

Striatal Beat Frequency Interval Timing Model With Microgravity Stressor, Jason Michael Fitzgerald, Sorinel Oprisan

Journal of the South Carolina Academy of Science

The Striatal Beat Frequency (SBF) model of interval timing uses frontal cortex (FC) neural oscillations to record the state of the brain at the reinforcement time Tc during fixed interval (FI) procedures in the long-term memory (LMEM). The state of the FC oscillators at any given time is stored in a short-term memory (SMEM) buffer. The SBF model uses the spiny neurons of the basal ganglia (BG) as coincidence detectors to produce beats between the content of the SMEM and LMEM. Across multiple species that can perform interval timing, there are two invariant properties: (a) the timing is precise, and …

Cucumber Mosaic Virus And Its Management In Narrow Leafed Lupins, Department Of Primary Industries And Regional Development, Western Australia

Grains and other field crops factsheets

Cucumber mosaic virus (CMV) is a seed- and aphid-borne virus that infects narrow-leafed lupins. Western Australian (WA) grainbelt regions most at risk are the high rainfall zones of the northern and central agricultural region and the south coastal region.

The principal infection source for lupin crops is sowing infected lupin seed.

Microfiltration Membrane Pore Functionalization With Primary And Quaternary Amines For Pfas Remediation: Capture, Regeneration, And Reuse, Sam Thompson, Angela Gutierrez, Jennifer Bukowski, Dibakar Bhattacharyya

UK CARES Faculty Publications

The widespread production and use of multi-fluorinated carbon-based substances for a variety of purposes has contributed to the contamination of the global water supply in recent decades. Conventional wastewater treatment can reduce contaminants to acceptable levels, but the concen- trated retentate stream is still a burden to the environment. A selective anion-exchange membrane capable of capture and controlled release could further concentrate necessary contaminants, mak- ing their eventual degradation or long-term storage easier. To this end, commercial microfiltration membranes were modified using pore functionalization to incorporate an anion-exchange moiety within the membrane matrix. This functionalization was performed with primary and …

Planetary Health Learning Objectives: Foundational Knowledge For Global Health Education In An Era Of Climate Change, Kathryn H. Jacobsen, Caryl E. Waggett, Pamela Berenbaum, Brett R. Bayles, Gail L. Carlson, René English, Carlos A Faerron Guzmán, Meredith L. Gartin, Liz Grant, Thomas L. Henshaw, Lora L. Iannotti, Philip J. Landrigan, Nina Lansbury, Hao Li, Maureen Y. Lichtveld, Ketrell Mcwhorter, Jessica E. Rettig, Cecilia J. Sorensen, Eric J. Wetzel, Dawn Michele Whitehead, Peter J. Winch, Keith Martin

Earth and Environmental Sciences Faculty Publications

Planetary health is an emerging field that emphasises that humans depend on a healthy Earth for survival and, conversely, that the sustainability of Earth systems is dependent on human behaviours. In response to member demands for resources to support teaching and learning related to planetary health, the Consortium of Universities for Global Health (CUGH) convened a working group to develop a set of planetary health learning objectives (PHLOs) that would complement the existing ten CUGH global health learning objectives. The eight PHLOs feature Earth system changes, planetary boundaries, and climate change science; ecological systems and One Health; human health outcomes; …

Septoria Avenae Blotch And Its Management In Oats, Department Of Primary Industries And Regional Development, Western Australia

Grains and other field crops factsheets

Septoria avenae blotch (Phaeosphaeria avenaria f.sp. avenaria) is a stubble borne fungal disease of oats and is the most common oat disease in Western Australia and occurs throughout the cereal growing areas.It is host specific, meaning it only affects oats.

This page summarises the symptoms, factors favouring disease risk and spread, yield and quality losses, and management strategies for the disease

Coal Ash Triggers An Elevated Temperature Landfill Development: Lessons From The Bristol Virginia Solid Waste Landfill Neighboring Community, Reagan Patton Witt, Marcelo I. Guzman

UK CARES Faculty Publications

Landfills for disposing of solid waste are designed, located, managed, and monitored facili- ties expected to comply with government regulations to prevent contamination of the surrounding environment. After the average life expectancy of a typical landfill (30 to 50 years), a large investment in the construction, operation, final closure, and 30-year monitoring of a new site is needed. In this case study, we provide a holistic explanation of the unexpected development of elevated temperature landfills (ETLFs), such as that in the city of Bristol (United States) on the border of the states of Virginia and Tennessee, including the initial role …