Medicine and Health Sciences Commons^™

A Mathematical Modeling Study On Hdv Rna, Alt, And Hbsag Dynamics Reveals Dual Mechanisms Of Peginterferon-Lambda., Adquate Mhlanga, Ohad Etzion, Harel Dahari

Biology and Medicine Through Mathematics Conference

No abstract provided.

A Histological Data-Driven Analysis Of The Hypoxic Microenvironment Of Preclinical Murine Bladder Tumors, Awino Maureiq E. Ojwang'

Biology and Medicine Through Mathematics Conference

No abstract provided.

Astrocyte Spatial Distribution Affects Growth Dynamics Of Breast Cancer Brain Metastases: An Agent-Based Modeling Study, Rupleen Kaur

Biology and Medicine Through Mathematics Conference

No abstract provided.

Identifiability Analysis And Model Reduction For Soft Tissue Models, Mansoor A. Haider

Biology and Medicine Through Mathematics Conference

No abstract provided.

Mathematical Modeling Suggests Pathways Of Systemic Dissemination Of Mycobacterium Tuberculosis In Mice, Vitaly V. Ganusov

Biology and Medicine Through Mathematics Conference

No abstract provided.

Modeling Interactions Between Platelet-Like Particles And Fibrin Matrix During Polymerization And Ultrasound Stimulation In Wound Healing Applications, Julia Sanger, Ashley C. Brown, Marie Muller, Mansoor A. Haider

Biology and Medicine Through Mathematics Conference

No abstract provided.

Sperm-Egg Interaction For Fertilization Success, Prajakta P. Bedekar

Biology and Medicine Through Mathematics Conference

No abstract provided.

Modeling Synergistic Effects Of Integrin And Tgf-Beta Signaling In Epithelial Mesenchymal Transition, Prerak Thakkar

Biology and Medicine Through Mathematics Conference

No abstract provided.

A Random Differential Equation Model To Estimate Treatment Sensitivity In Synthetic And In Vitro Tumor Growth Data, Natalie Meacham

Biology and Medicine Through Mathematics Conference

No abstract provided.

Mathematical Modeling Of Immune Response To Sars-Cov-2, Hwayeon Ryu

Biology and Medicine Through Mathematics Conference

No abstract provided.

Optimizing Immunotherapies For Improved Cancer Treatment, Anne Talkington, Anthony Kearsley

Biology and Medicine Through Mathematics Conference

No abstract provided.

Topological Data Analysis Of Molecular Dynamics Simulations Of Monoclonal Antibodies, Melinda Kleczynski, Christina Bergonzo, Anthony Kearsley

Biology and Medicine Through Mathematics Conference

No abstract provided.

In Silico Analysis Of C-Type Lectins As Co-Infection Receptors Of Dengue And Chikungunya Viruses In Aedes Aegypti, Munawir Sazali, R. C. Hidayat Soesilohadi, Nastiti Wijayanti, Tri Wibawa, Arif Nur Muhammad Ansori

Makara Journal of Science

Aedes aegypti is a primer vector of dengue virus (DENV) and chikungunya virus (CHIKV). The susceptibility of mosquitoes to DENV and CHIKV depends on their recognition receptor of pathogens. C-type lectins (CTLs) are an important mediator of virus infection in A. aegypti. This study aims to identify potential receptors and determine the binding affinity between ligand–receptor interaction, CTLs and virus envelopes (DENV-1, 2, 3, and 4 and CHIKV) interaction based on in silico analysis. Sample sequences were obtained from GenBank (NCBI), and 10 CTLs were acquired from VectorBase. Homology modeling based on a minimum standard of 20% was processed …

Statistical Modeling Of Extracellular Vesicle Cargo To Predict Clinical Trial Outcomes For Hypoplastic Left Heart Syndrome, Jessica R Hoffman, Hyun-Ji Park, Sruti Bheri, Manu O Platt, Joshua M Hare, Sunjay Kaushal, Judith L Bettencourt, Dejian Lai, Timothy C Slesnick, William T Mahle, Michael E Davis

Journal Articles

Cardiac-derived c-kit+ progenitor cells (CPCs) are under investigation in the CHILD phase I clinical trial (NCT03406884) for the treatment of hypoplastic left heart syndrome (HLHS). The therapeutic efficacy of CPCs can be attributed to the release of extracellular vesicles (EVs). to understand sources of cell therapy variability we took a machine learning approach: combining bulk CPC-derived EV (CPC-EV) RNA sequencing and cardiac-relevant

Quercetin As An Anticancer Candidate For Glioblastoma Multiforme By Targeting Akt1, Mmp9, Abcb1, And Vegfa: An In Silico Study, Muhammad Hermawan Widyananda, Setyaki Kevin Pratama, Arif Nur Muhammad Ansori, Yulanda Antonius, Viol Dhea Kharisma, Ahmad Affan Ali Murtadlo, Vikash Jakhmola, Maksim Rebezov, Mars Khayrullin, Marina Derkho, Emdad Ullah, Raden Joko Kuncoroningrat Susilo, Suhailah Hayaza, Alexander Patera Nugraha, Annise Proboningrat, Amaq Fadholly, Mada Triandala Sibero, Rahadian Zainul

Karbala International Journal of Modern Science

Quercetin, a natural compound present in various fruits and vegetables, shows promise as a potential inhibitor for glioblastoma multiforme (GBM) development. This study aims to examine the anti-GBM potential of Quercetin. The protein target of Quercetin is identified and analyzed using databases such as NCBI, SEA, CTD, and STRING. Protein-protein interaction (PPI) and functional annotation are carried out based on the obtained target proteins. Molecular docking and dynamics simulations are employed using AutoDock Vina and WebGro tools to analyze the interaction between Quercetin and its target proteins. The prediction of protein targets reveals that Quercetin directly targets four proteins associated …

Nursing Education In Complementary Alternative Modalities: A Case Study, Deborah Bird

Dissertations

Purpose: The purpose of this embedded case study was to describe the preparation for and utilization of complimentary alternative modality (CAM) interventions by an experienced Doctor of Nursing Practice (DNP) prepared nurse practitioner (NP) working in an outpatient setting.

Background: Given the widespread use of CAM by the American public and the potential complications involved in combining CAM and standard medical care, a lack of educational preparation in CAM interventions by NPs delivering primary care in outpatient health care settings represents both a potential risk and a missed opportunity to provide holistic patient care. Such a lack of knowledge also …

Stochastic Gradient Descent Method For A Parameter Identification Problem In Elasticity Imaging, Basca Jadamba

Biology and Medicine Through Mathematics Conference

No abstract provided.

Mathematical Modeling Of Immune Response To Sars-Cov-2, Hwayeon Ryu

Biology and Medicine Through Mathematics Conference

No abstract provided.

Modeling The Immune Response To Immunotherapy And Triple Negative Breast Cancer In Mice, Dayton J. Syme, Angelica Davenport, Yun Lu, Anna G. Sorace, Nicholas G. Cogan

Biology and Medicine Through Mathematics Conference

No abstract provided.

Chemoattractant Distribution In Complex Geometry Impacts The Trajectory Of Clustered Cell Migration, Naghmeh Akhavan

Biology and Medicine Through Mathematics Conference

No abstract provided.

Pk/Pd Modeling Coupled With A Phenotype-Structured Population Model For Reducing Drug Resistance, Lifeng Han

Biology and Medicine Through Mathematics Conference

No abstract provided.

Modeling Epithelial-Mesenchymal Transition In A 3d Multicellular Model Of Tgf-Β1 Signaling, Kristin Kim, Chris Lemmon

Biology and Medicine Through Mathematics Conference

No abstract provided.

The Restrictive Factors And Practical Path Of Sports-Medical Integration Under The Background Of Covid-19 Pandemic, Yonghuan Chen, Yanan Jiang, Xiangning Yan

International Journal of Physical Activity and Health

This paper explored the restrictive factors of realizing the integration of sports and medicine in China under the background of “COVID-19 pandemic” and analyzed the path of realizing the integration of sports and medicine by combining it with “Healthy China” strategy and “National Fitness Program”. We used document and expert interview method. In the new era, people’s desire for a better life has become the most extensive demand, and the sudden outbreak of epidemic makes people’s demand for health become the first demand. The importance of people’s health raises “Healthy China” as the national development strategy, which has become the …

Brivaracetam To Treat Partial Onset Seizures In Adults., Dustin Latimer, David Le, Evan P. Falgoust, Patrick Ingraffia, Alaa Abd-Elsayed, Elyse M. Cornett, Rupin Singh, Joohee Choi, Giustino Varrassi, Adam M. Kaye, Alan D. Kaye, Latha Ganti

School of Pharmacy Faculty Articles

PURPOSE OF REVIEW: Seizures are a hyperexcitable, and hypersynchronous imbalance between excitatory and inhibitory factors (E/I imbalance) in neurotransmission, and epilepsy is the recurrent manifestation of seizures within a reasonable time frame and without being attributable to a reversible cause. Brivaracetam is a derivative of the antiepileptic agent, levetiracetam, that is used as adjuvant therapy for focal onset seizures. It was approved by the FDA in 2016 and has shown promising results with minimal adverse effect reactions in clinical trials.

RECENT FINDINGS: Brivaracetam has been used in multiple clinical trials at various dosages in adults that have partial-onset seizures refractory …

Suvorexant, A Novel Dual Orexin Receptor Antagonist, For The Management Of Insomnia., Andrew H. Han, Carolin R. Burroughs, Evan P. Falgoust, Jamal Hasoon, Grace Hunt, Juyeon Kakazu, Tim Lee, Adam M. Kaye, Alan D. Kaye, Latha Ganti

School of Pharmacy Faculty Articles

PURPOSE OF REVIEW: The present investigation is a comprehensive review regarding the use of Suvorexant for insomnia treatment. It covers the background, pathophysiology, and significance of addressing insomnia, the pharmaceutical details of Suvorexant, and its safety, efficacy, and implications in treating insomnia. We further discuss Suvorexant's role in targeting insomnia with other comorbidities.

RECENT FINDINGS: Insomnia refers to poor quality and/or quantity of sleep. While there are many existing treatments such as benzodiazepines, melatonin agonists, TCAs, and atypical antipsychotics used to target various receptors involved in normal induction and maintenance of sleep, Suvorexant is an antagonist that specifically targets orexin …

Review Of Interventional Therapies For Refractory Pediatric Migraine., Jacquelin Peck, Justin Zeien, Megha Patel, Elyse M. Cornett, Amnon A. Berger, Jamal Hasoon, Hisham Kassem, Jai Won Jung, Giovanni F. Ramírez, Paola Fugueroa, Neil R. Singhal, Jaehong Song, Adam M. Kaye, Alan D. Kaye, Sarang S. Koushik, Natalie H. Strand, Latha Ganti

School of Pharmacy Faculty Articles

This is a review of the latest and seminal evidence in pediatric migraine. It covers the etiology and pathophysiology known today, and then will review treatment options, efficacy and safety, quality of data and indications. Though migraine is usually regarded as an infliction in adults, it is not uncommon in the pediatric population and affects up to 8% of children. Children may experience migraine differently than adults, and present not only with headache but also frequent gastrointestinal symptoms. They are frequently shorter in duration than in adults. Traditional migraine treatment in adults is less effective in children. In this population, …

Porifera: Biology And Medicinal Properties, Emma L. Rayfield

Undergraduate Honors Theses

The focus of this thesis is the possibility of oceanic medicine through understanding the general biology of poriferans, their symbionts, medicinal properties, and how we could harvest sponges conservatively. It was necessary to understand the basic biology of poriferans regarding their structures, differences in their classes, and how they obtain nutrition, develop, and reproduce. The ecology of the poriferans was also researched including their larval and sessile stages and how their environment determines where they settle. Additionally, ecology was examined including how poriferans interact with symbionts and other organisms. This then was utilized to seek whether poriferans had useful medical …

Application In Medicine: Has Artificial Intelligence Stood The Test Of Time, Mir Ibrahim Sajid, Shaheer Ahmed, Usama Waqar, Javeria Tariq, Mohsin Chundrigar, Samira Shabbir Balouch, Sajid Abaidullah

Medical College Documents

Artificial intelligence (AI) has proven time and time again to be a game-changer innovation in every walk of life, including medicine. Introduced by Dr. Gunn in 1976 to accurately diagnose acute abdominal pain and list potential differentials, AI has since come a long way. In particular, AI has been aiding in radiological diagnoses with good sensitivity and specificity by using machine learning algorithms. With the coronavirus disease 2019 pandemic, AI has proven to be more than just a tool to facilitate healthcare workers in decision making and limiting physician-patient contact during the pandemic. It has guided governments and key policymakers …

Modeling The Cardiovascular Dynamics Of Postural Orthostatic Tachycardia Syndrome, Justen Geddes

Biology and Medicine Through Mathematics Conference

No abstract provided.

Modeling Acute And Chronic Vascular Adaptations To A Major Arterial Occlusion, Erin O. Zhao

Biology and Medicine Through Mathematics Conference

No abstract provided.