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Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons™
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Articles 31 - 60 of 166
Full-Text Articles in Analytical, Diagnostic and Therapeutic Techniques and Equipment
Histopathology Imaging And Clinical Data Including Remission Status In Pediatric Inflammatory Bowel Disease, Chloe Martin-King, Ali Nael, Louis Ehwerhemuepha, Blake Calvo, Quinn Gates, Jamie Janchoi, Elisa Ornelas, Melissa Perez, Andrea Venderby, John Miklavcic, Peter Chang, Aaron Sassoon, Kenneth Grant
Histopathology Imaging And Clinical Data Including Remission Status In Pediatric Inflammatory Bowel Disease, Chloe Martin-King, Ali Nael, Louis Ehwerhemuepha, Blake Calvo, Quinn Gates, Jamie Janchoi, Elisa Ornelas, Melissa Perez, Andrea Venderby, John Miklavcic, Peter Chang, Aaron Sassoon, Kenneth Grant
Food Science Faculty Articles and Research
The incidence of inflammatory bowel disease (IBD) is increasing annually. Children with IBD often suffer significant morbidity due to physical and emotional effects of the disease and treatment. Corticosteroids, often a component of therapy, carry undesirable side effects with long term use. Steroid-free remission has become a standard for care-quality improvement. Anticipating therapeutic outcomes is difficult, with treatments often leveraged in a trial-and-error fashion. Artificial intelligence (AI) has demonstrated success in medical imaging classification tasks. Predicting patients who will attain remission will help inform treatment decisions. The provided dataset comprises 951 tissue section scans (167 whole-slides) obtained from 18 pediatric …
Mechanistic Study Of Antimicrobial Effectiveness Of Cyclic Amphipathic Peptide [R4W4] Against Methicillin-Resistant Staphylococcus Aureus Clinical Isolates, Ajayi David Akinwale, Keykavous Parang, Rakesh Kumar Tiwari, Jason Yamaki
Mechanistic Study Of Antimicrobial Effectiveness Of Cyclic Amphipathic Peptide [R4W4] Against Methicillin-Resistant Staphylococcus Aureus Clinical Isolates, Ajayi David Akinwale, Keykavous Parang, Rakesh Kumar Tiwari, Jason Yamaki
Pharmacy Faculty Articles and Research
Antimicrobial peptides (AMPs) are being explored as a potential strategy to combat antibiotic resistance due to their ability to reduce susceptibility to antibiotics. This study explored whether the [R4W4] peptide mode of action is bacteriostatic or bactericidal using modified two-fold serial dilution and evaluating the synergism between gentamicin and [R4W4] against Escherichia coli (E. coli) and methicillin-resistant Staphylococcus aureus (MRSA) by a checkered board assay. [R4W4] exhibited bactericidal activity against bacterial isolates (MBC/MIC ≤ 4), with a synergistic effect with gentamicin against E. coli (FICI = 0.3) but …
Effectiveness Of Empiric Carbapenem Versus Non-Carbapenem Therapy For Extended-Spectrum Β-Lactamase Producing Enterobacterales Infections In Non-Intensive Care Unit Patients: A Real-World Investigation In A Hospital With High-Prevalence Of Extended-Spectrum Β-Lactamase Producing Enterobacterales, Amy Y. Kang, Mary Elkomos, Danny Pham, Michelle Guerrero, Deborah Kupferwasser, Loren G. Miller
Effectiveness Of Empiric Carbapenem Versus Non-Carbapenem Therapy For Extended-Spectrum Β-Lactamase Producing Enterobacterales Infections In Non-Intensive Care Unit Patients: A Real-World Investigation In A Hospital With High-Prevalence Of Extended-Spectrum Β-Lactamase Producing Enterobacterales, Amy Y. Kang, Mary Elkomos, Danny Pham, Michelle Guerrero, Deborah Kupferwasser, Loren G. Miller
Pharmacy Faculty Articles and Research
Objective:
To investigate whether empiric carbapenem therapy, compared to empiric non-carbapenem therapy, was associated with improved clinical outcomes among hospitalized, non-intensive care unit (ICU) patients with extended-spectrum β-lactamase (ESBL)-producing Enterobacterales infections.
Methods:
We performed a retrospective cohort study of adult, non-ICU patients admitted with ESBL-producing Enterobacterales infections. Primary outcome was time to clinical stability from the first empiric antibiotic dose. Secondary outcomes were early clinical response and 30-day all-cause hospital readmission. We used multivariate regression methods to examine time to clinical stability.
Results:
Of the 142 patients, 59 (42%) received empiric carbapenems and 83 (58%) received empiric …
Ultrasoft Platelet-Like Particles Stop Bleeding In Rodent And Porcine Models Of Trauma, Kimberly Nellenbach, Emily Mihalko, Seema Nandi, Drew W. Koch, Jagathpala Shetty, Leandra Moretti, Jennifer Sollinger, Nina Moiseiwitsch, Ana Sheridan, Sanika Pandit, Maureane Hoffman, Lauren V. Schnabel, L. Andrew Lyon, Thomas H. Barker, Ashley C. Brown
Ultrasoft Platelet-Like Particles Stop Bleeding In Rodent And Porcine Models Of Trauma, Kimberly Nellenbach, Emily Mihalko, Seema Nandi, Drew W. Koch, Jagathpala Shetty, Leandra Moretti, Jennifer Sollinger, Nina Moiseiwitsch, Ana Sheridan, Sanika Pandit, Maureane Hoffman, Lauren V. Schnabel, L. Andrew Lyon, Thomas H. Barker, Ashley C. Brown
Engineering Faculty Articles and Research
Uncontrolled bleeding after trauma represents a substantial clinical problem. The current standard of care to treat bleeding after trauma is transfusion of blood products including platelets; however, donated platelets have a short shelf life, are in limited supply, and carry immunogenicity and contamination risks. Consequently, there is a critical need to develop hemostatic platelet alternatives. To this end, we developed synthetic platelet-like particles (PLPs), formulated by functionalizing highly deformable microgel particles composed of ultralow cross-linked poly (N-isopropylacrylamide) with fibrin-binding ligands. The fibrin-binding ligand was designed to target to wound sites, and the cross-linking of fibrin polymers was designed …
Harnessing Exosomes As A Platform For Drug Delivery In Breast Cancer: A Systematic Review For In Vivo And In Vitro Studies, Abdulwahab Teflischi Gharavi, Saeed Irian, Azadeh Niknejad, Keykavous Parang, Mona Salimi
Harnessing Exosomes As A Platform For Drug Delivery In Breast Cancer: A Systematic Review For In Vivo And In Vitro Studies, Abdulwahab Teflischi Gharavi, Saeed Irian, Azadeh Niknejad, Keykavous Parang, Mona Salimi
Pharmacy Faculty Articles and Research
Breast cancer remains a significant global health concern, emphasizing the critical need for effective treatment strategies, especially targeted therapies. This systematic review summarizes the findings from in vitro and in vivo studies regarding the therapeutic potential of exosomes as drug delivery platforms in the field of breast cancer treatment. A comprehensive search was conducted across bibliographic datasets, including Web of Science, PubMed, and Scopus, using relevant queries from several related published articles and the Medical Subject Headings Database. Then, all morphological, biomechanical, histopathological, and cellular-molecular outcomes were systematically collected. A total of 30 studies were identified based on the Preferred …
Limonene Exerts Anti-Inflammatory Effect On Lps-Induced Jejunal Injury In Mice By Inhibiting Nf-Κb/Ap-1 Pathway, Sarmed H. Kathem, Yasameen Sh. Nasrawi, Shihab H. Mutlag, Surya M. Nauli
Limonene Exerts Anti-Inflammatory Effect On Lps-Induced Jejunal Injury In Mice By Inhibiting Nf-Κb/Ap-1 Pathway, Sarmed H. Kathem, Yasameen Sh. Nasrawi, Shihab H. Mutlag, Surya M. Nauli
Pharmacy Faculty Articles and Research
The human gastrointestinal system is a complex ecosystem crucial for well-being. During sepsis-induced gut injury, the integrity of the intestinal barrier can be compromised. Lipopolysaccharide (LPS), an endotoxin from Gram-negative bacteria, disrupts the intestinal barrier, contributing to inflammation and various dysfunctions. The current study explores the protective effects of limonene, a natural compound with diverse biological properties, against LPS-induced jejunal injury in mice. Oral administration of limonene at dosages of 100 and 200 mg/kg was used in the LPS mouse model. The Murine Sepsis Score (MSS) was utilized to evaluate the severity of sepsis, while serum levels of urea and …
Correlation Enhanced Distribution Adaptation For Prediction Of Fall Risk, Ziqi Guo, Teresa Wu, Thurmon Lockhart, Rahul Soangra, Hyunsoo Yoon
Correlation Enhanced Distribution Adaptation For Prediction Of Fall Risk, Ziqi Guo, Teresa Wu, Thurmon Lockhart, Rahul Soangra, Hyunsoo Yoon
Physical Therapy Faculty Articles and Research
With technological advancements in diagnostic imaging, smart sensing, and wearables, a multitude of heterogeneous sources or modalities are available to proactively monitor the health of the elderly. Due to the increasing risks of falls among older adults, an early diagnosis tool is crucial to prevent future falls. However, during the early stage of diagnosis, there is often limited or no labeled data (expert-confirmed diagnostic information) available in the target domain (new cohort) to determine the proper treatment for older adults. Instead, there are multiple related but non-identical domain data with labels from the existing cohort or different institutions. Integrating different …
De Novo Drug Design Using Transformer-Based Machine Translation And Reinforcement Learning Of An Adaptive Monte Carlo Tree Search, Dony Ang, Cyril Rakovski, Hagop S. Atamian
De Novo Drug Design Using Transformer-Based Machine Translation And Reinforcement Learning Of An Adaptive Monte Carlo Tree Search, Dony Ang, Cyril Rakovski, Hagop S. Atamian
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
The discovery of novel therapeutic compounds through de novo drug design represents a critical challenge in the field of pharmaceutical research. Traditional drug discovery approaches are often resource intensive and time consuming, leading researchers to explore innovative methods that harness the power of deep learning and reinforcement learning techniques. Here, we introduce a novel drug design approach called drugAI that leverages the Encoder–Decoder Transformer architecture in tandem with Reinforcement Learning via a Monte Carlo Tree Search (RL-MCTS) to expedite the process of drug discovery while ensuring the production of valid small molecules with drug-like characteristics and strong binding affinities towards …
Classification Of Colorectal Cancer Using Resnet And Efficientnet Models, Abhishek Ranjan, Priyanshu Srivastva, B Prabadevi, R Sivakumar, Rahul Soangra, Shamala K. Subramaniam
Classification Of Colorectal Cancer Using Resnet And Efficientnet Models, Abhishek Ranjan, Priyanshu Srivastva, B Prabadevi, R Sivakumar, Rahul Soangra, Shamala K. Subramaniam
Physical Therapy Faculty Articles and Research
Introduction:
Cancer is one of the most prevalent diseases from children to elderly adults. This will be deadly if not detected at an earlier stage of the cancerous cell formation, thereby increasing the mortality rate. One such cancer is colorectal cancer, caused due to abnormal growth in the rectum or colon. Early screening of colorectal cancer helps to identify these abnormal growth and can exterminate them before they turn into cancerous cells.
Aim:
Therefore, this study aims to develop a robust and efficient classification system for colorectal cancer through Convolutional Neural Networks (CNNs) on histological images.
Methods:
Despite challenges in …
Applications Of Causal Inference Methods For The Estimation Of Effects Of Bone Marrow Transplant And Prescription Drugs On Survival Of Aplastic Anemia Patients, Yesha M. Patel
Computational and Data Sciences (PhD) Dissertations
This dissertation provides an in-depth exploration into the treatment effectiveness for aplastic anemia using causal inference methods, structured around three pivotal research papers. Each paper contributes to a nuanced understanding of treatment impacts, specifically focusing on bone marrow transplantation (BMT) and prescription drugs, and the identification of optimal treatment strategies.
The first paper, "Causal Inference Analysis for Assessing the Effect of Bone Marrow Transplantation on the One-Year Survival of Adult and Pediatric Aplastic Anemia Patients," sets the foundation. It examines the short-term effectiveness of BMT in both adult and pediatric patients, providing crucial insights into how this treatment affects survival …
Tolfenamic Acid Derivatives: A New Class Of Transcriptional Modulators With Potential Therapeutic Applications For Alzheimer’S Disease And Related Disorders, Juanetta Hill, Karim E. Shalaby, Syed W. Bihaqi, Bothaina H. Alansi, Benjamin Barlock, Keykavous Parang, Richard Thompson, Khalid Ourarhni, Nasser H. Zawia
Tolfenamic Acid Derivatives: A New Class Of Transcriptional Modulators With Potential Therapeutic Applications For Alzheimer’S Disease And Related Disorders, Juanetta Hill, Karim E. Shalaby, Syed W. Bihaqi, Bothaina H. Alansi, Benjamin Barlock, Keykavous Parang, Richard Thompson, Khalid Ourarhni, Nasser H. Zawia
Pharmacy Faculty Articles and Research
The field of Alzheimer’s disease (AD) has witnessed recent breakthroughs in the development of disease-modifying biologics and diagnostic markers. While immunotherapeutic interventions have provided much-awaited solutions, nucleic acid-based tools represent other avenues of intervention; however, these approaches are costly and invasive, and they have serious side effects. Previously, we have shown in AD animal models that tolfenamic acid (TA) can lower the expression of AD-related genes and their products and subsequently reduce pathological burden and improve cognition. Using TA as a scaffold and the zinc finger domain of SP1 as a pharmacophore, we developed safer and more potent brain-penetrating analogs …
A Portable And Reliable Tool For On-Site Physical Reaction Time (Rt) Measurement, Brent Harper, Michael Shiraishi, Rahul Soangra
A Portable And Reliable Tool For On-Site Physical Reaction Time (Rt) Measurement, Brent Harper, Michael Shiraishi, Rahul Soangra
Physical Therapy Faculty Articles and Research
The drop-stick test system (DTS) invention has the capability to measure reaction accurately for sideline mild traumatic brain injury (mTBI) assessment. The reaction time (RT) measurements showed moderate to good inter-instrument reliability with an overall ICC of 0.82 (95 % CI 0.78–0.85). RT is a useful biomarker of mTBI or concussion, but existing technologies in controlled laboratory environments are not feasible for assessments in the field. With wearable technologies and wireless connection with smartphones, it is now easier to conduct RT assessments on the field. The purpose was to develop a portable DTS involving wearable inertial sensors translatable from the …
Improving Pharmacist-Led Pediatric Patient Education On Oral Chemotherapy At Home, Anika Patel, Christopher M. Nguyen, Kristin Willins, Elsabella Y. Wang, Grace Magedman, Sun Yang
Improving Pharmacist-Led Pediatric Patient Education On Oral Chemotherapy At Home, Anika Patel, Christopher M. Nguyen, Kristin Willins, Elsabella Y. Wang, Grace Magedman, Sun Yang
Pharmacy Faculty Articles and Research
Oral chemotherapy (OC) has been increasingly used in pediatric patients diagnosed with cancer, which is primarily managed in the outpatient setting. Different from adults, pediatric patients face unique challenges in administering these hazardous medications at home. Because of the complexity of pediatric pharmaceutical care and the hazardous nature of chemotherapy agents, comprehensive patient education is imperative to mitigate the potential safety risks associated with OC administration at home. Pharmacists play a vital role in patient education and medication consultations. However, the lack of practice guidelines and limited resources supporting OC counseling are noted. Additional barriers include insufficient knowledge and training …
A Causal Inference Study: The Impact Of The Combined Administration Of Donepezil And Memantine On Decreasing Hospital And Emergency Department Visits Of Alzheimer’S Disease Patients, Ehsan Yaghmaei, Albert Pierce, Hongxia Lu, Yesha M. Patel, Louis Ehwerhemuepha, Ahmad Rezaie, Seyed Ahmad Sajjadi, Cyril Rakovski
A Causal Inference Study: The Impact Of The Combined Administration Of Donepezil And Memantine On Decreasing Hospital And Emergency Department Visits Of Alzheimer’S Disease Patients, Ehsan Yaghmaei, Albert Pierce, Hongxia Lu, Yesha M. Patel, Louis Ehwerhemuepha, Ahmad Rezaie, Seyed Ahmad Sajjadi, Cyril Rakovski
Mathematics, Physics, and Computer Science Faculty Articles and Research
Alzheimer’s disease is the most common type of dementia that currently affects over 6.5 million people in the U.S. Currently there is no cure and the existing drug therapies attempt to delay the mental decline and improve cognitive abilities. Two of the most commonly prescribed such drugs are Donepezil and Memantine. We formally tested and confirmed the presence of a beneficial drug-drug interaction of Donepezil and Memantine using a causal inference analysis. We applied doubly robust estimators to one of the largest and high-quality medical databases to estimate the effect of two commonly prescribed Alzheimer’s disease (AD) medications, Donepezil and …
Targeting Breast Cancer: The Familiar, The Emerging, And The Uncharted Territories, Hamidreza Montazeri Aliabadi, Arthur Manda, Riya Sidgal, Co Chung
Targeting Breast Cancer: The Familiar, The Emerging, And The Uncharted Territories, Hamidreza Montazeri Aliabadi, Arthur Manda, Riya Sidgal, Co Chung
Pharmacy Faculty Articles and Research
Breast cancer became the most diagnosed cancer in the world in 2020. Chemotherapy is still the leading clinical strategy in breast cancer treatment, followed by hormone therapy (mostly used in hormone receptor-positive types). However, with our ever-expanding knowledge of signaling pathways in cancer biology, new molecular targets are identified for potential novel molecularly targeted drugs in breast cancer treatment. While this has resulted in the approval of a few molecularly targeted drugs by the FDA (including drugs targeting immune checkpoints), a wide array of signaling pathways seem to be still underexplored. Also, while combinatorial treatments have become common practice in …
Additive Effects Of Cyclic Peptide [R4w4] When Added Alongside Azithromycin And Rifampicin Against Mycobacterium Avium Infection, Melissa Kelley, Kayvan Sasaninia, Arbi Abnousian, Ali Badaoui, James Owens, Abrianna Beever, Nala Kachour, Rakesh Kumar Tiwari, Vishwanath Venketaraman
Additive Effects Of Cyclic Peptide [R4w4] When Added Alongside Azithromycin And Rifampicin Against Mycobacterium Avium Infection, Melissa Kelley, Kayvan Sasaninia, Arbi Abnousian, Ali Badaoui, James Owens, Abrianna Beever, Nala Kachour, Rakesh Kumar Tiwari, Vishwanath Venketaraman
Pharmacy Faculty Articles and Research
Mycobacterium avium (M. avium), a type of nontuberculous mycobacteria (NTM), poses a risk for pulmonary infections and disseminated infections in immunocompromised individuals. Conventional treatment consists of a 12-month regimen of the first-line antibiotics rifampicin and azithromycin. However, the treatment duration and low antibiotic tolerability present challenges in the treatment of M. avium infection. Furthermore, the emergence of multidrug-resistant mycobacterium strains prompts a need for novel treatments against M. avium infection. This study aims to test the efficacy of a novel antimicrobial peptide, cyclic [R4W4], alongside the first-line antibiotics azithromycin and rifampicin in reducing M. avium survival. Colony-forming unit (CFU) …
A New Method For Investigating Bioequivalence Of Inhaled Formulations: A Pilot Study On Salbutamol, Homa Razaei, Maryam Khoubnasabjafari, Vahid Jouyban-Gharamaleki, Hamed Hamishehkar, Mohammad Reza Afshar Mogaddam, Elaheh Rahimpour, Reza Mehvar, Abolghasem Jouyban
A New Method For Investigating Bioequivalence Of Inhaled Formulations: A Pilot Study On Salbutamol, Homa Razaei, Maryam Khoubnasabjafari, Vahid Jouyban-Gharamaleki, Hamed Hamishehkar, Mohammad Reza Afshar Mogaddam, Elaheh Rahimpour, Reza Mehvar, Abolghasem Jouyban
Pharmacy Faculty Articles and Research
Purpose: An efficient, cost-effective and non-invasive test is required to overcome the challenges faced in the process of bioequivalence (BE) studies of various orally inhaled drug formulations. Two different types of pressurized meter dose inhalers (MDI-1 and MDI-2) were used in this study to test the practical applicability of a previously proposed hypothesis on the BE of inhaled salbutamol formulations.
Methods: Salbutamol concentration profiles of the exhaled breath condensate (EBC) samples collected from volunteers receiving two inhaled formulations were compared employing BE criteria. In addition, the aerodynamic particle size distribution of the inhalers was determined by employing next generation impactor. …
The Effects Of A Blood–Brain Barrier Penetrating Erythropoietin In A Mouse Model Of Tauopathy, Joshua Yang, Weijun Ou, Nataraj Jagadeesan, Juste Simanauskaite, Jiahong Sun, Demi M. Castellanos, David H. Cribbs, Rachita K. Sumbria
The Effects Of A Blood–Brain Barrier Penetrating Erythropoietin In A Mouse Model Of Tauopathy, Joshua Yang, Weijun Ou, Nataraj Jagadeesan, Juste Simanauskaite, Jiahong Sun, Demi M. Castellanos, David H. Cribbs, Rachita K. Sumbria
Pharmacy Faculty Articles and Research
Erythropoietin (EPO), a hematopoietic neurotrophin, is a potential therapeutic for Alzheimer’s disease (AD) but has limited blood–brain barrier (BBB) permeability. EPO fused to a chimeric transferrin receptor monoclonal antibody (cTfRMAb) enters the brain via TfR-mediated transcytosis across the BBB. We previously showed that cTfRMAb-EPO is protective in a mouse model of amyloidosis, but its effects on tauopathy are not known. Given that amyloid and tau pathology are characteristics of AD, the effects of cTfRMAb-EPO were studied in a tauopathy mouse model (PS19). Six-month-old PS19 mice were injected intraperitoneally with either saline (PS19-Saline; n = 9) or cTfRMAb-EPO (PS19-cTfRMAb-EPO, 10 mg/kg; …
Amphiphilic Cell-Penetrating Peptides Containing Arginine And Hydrophobic Residues As Protein Delivery Agents, Jonathan Moreno, Khalid Zoghebi, David Salehi, Lois Kim, Sorour Khayyatnejad Shoushtari, Rakesh K. Tiwari, Keykavous Parang
Amphiphilic Cell-Penetrating Peptides Containing Arginine And Hydrophobic Residues As Protein Delivery Agents, Jonathan Moreno, Khalid Zoghebi, David Salehi, Lois Kim, Sorour Khayyatnejad Shoushtari, Rakesh K. Tiwari, Keykavous Parang
Pharmacy Faculty Articles and Research
The entry of proteins through the cell membrane is challenging, thus limiting their use as potential therapeutics. Seven cell-penetrating peptides, designed in our laboratory, were evaluated for the delivery of proteins. Fmoc solid-phase peptide synthesis was utilized for the synthesis of seven cyclic or hybrid cyclic–linear amphiphilic peptides composed of hydrophobic (tryptophan (W) or 3,3-diphenylalanine (Dip) and positively-charged arginine (R) residues, such as [WR]4, [WR]9, [WWRR]4, [WWRR]5, [(RW)5K](RW)5, [R5K]W7, and [DipR]5. Confocal microscopy was used to screen the peptides as a protein delivery system of model cargo proteins, green and red fluorescein proteins (GFP and RFP). Based on the confocal …
Predicting Survival Of Nsclc Patients Treated With Immune Checkpoint Inhibitors: Impact And Timing Of Immune-Related Adverse Events And Prior Tyrosine Kinase Inhibitor Therapy, Michael R. Sayer, Isa Mambetsariev, Kun-Han Lu, Chi Wah Wong, Ashley Duche, Richard Beuttler, Jeremy Fricke, Rebecca Pharaon, Leonidas Arvanitis, Zahra Eftekhari, Arya Amini, Marianna Koczywas, Erminia Massarelli, Moom Rahman Roosan, Ravi Salgia
Predicting Survival Of Nsclc Patients Treated With Immune Checkpoint Inhibitors: Impact And Timing Of Immune-Related Adverse Events And Prior Tyrosine Kinase Inhibitor Therapy, Michael R. Sayer, Isa Mambetsariev, Kun-Han Lu, Chi Wah Wong, Ashley Duche, Richard Beuttler, Jeremy Fricke, Rebecca Pharaon, Leonidas Arvanitis, Zahra Eftekhari, Arya Amini, Marianna Koczywas, Erminia Massarelli, Moom Rahman Roosan, Ravi Salgia
Pharmacy Faculty Articles and Research
Introduction: Immune checkpoint inhibitors (ICIs) produce a broad spectrum of immune-related adverse events (irAEs) affecting various organ systems. While ICIs are established as a therapeutic option in non-small cell lung cancer (NSCLC) treatment, most patients receiving ICI relapse. Additionally, the role of ICIs on survival in patients receiving prior targeted tyrosine kinase inhibitor (TKI) therapy has not been well-defined.
Objective: To investigate the impact of irAEs, the relative time of occurrence, and prior TKI therapy to predict clinical outcomes in NSCLC patients treated with ICIs.
Methods: A single center retrospective cohort study identified 354 adult patients with NSCLC receiving ICI …
Digital 3d Brain Mri Arterial Territories Atlas, Chin-Fu Liu, Johnny Hsu, Xin Xu, Ganghyun Kim, Shannon M. Sheppard, Erin L. Meier, Michael I. Miller, Argye E. Hillis, Andreia V. Faria
Digital 3d Brain Mri Arterial Territories Atlas, Chin-Fu Liu, Johnny Hsu, Xin Xu, Ganghyun Kim, Shannon M. Sheppard, Erin L. Meier, Michael I. Miller, Argye E. Hillis, Andreia V. Faria
Communication Sciences and Disorders Faculty Articles and Research
The locus and extent of brain damage in the event of vascular insult can be quantitatively established quickly and easily with vascular atlases. Although highly anticipated by clinicians and clinical researchers, no digital MRI arterial atlas is readily available for automated data analyses. We created a digital arterial territory atlas based on lesion distributions in 1,298 patients with acute stroke. The lesions were manually traced in the diffusion-weighted MRIs, binary stroke masks were mapped to a common space, probability maps of lesions were generated and the boundaries for each arterial territory was defined based on the ratio between probabilistic maps. …
Advances In Nlp Algorithms On Unstructured Medical Notes Data And Approaches To Handling Class Imbalance Issues, Hanna Lu
Computational and Data Sciences (PhD) Dissertations
This dissertation is composed of three research projects, each addressing one aspect of the text classification tasks on unstructured medical notes.
The first study investigated the model performance of sequence deep learning models that are widely used in NLP tasks such as RNN, GRU, LSTM, Bi-LSTM, as well as CNN and the novel and more advanced attention-based algorithms such as the Transformer Encoder and BERT-Base. The model performances of these algorithms were evaluated with and without pre-trained word embeddings. The Transformer Encoder model stood out as the best model for all tasks and the CNN model produced comparable performance when …
Reliability Of Accelerometer-Based Reaction Time Tests, Jacob Hepp, Warner Rhodes, Jordan Walton, Rahul Soangra, Brent Harper
Reliability Of Accelerometer-Based Reaction Time Tests, Jacob Hepp, Warner Rhodes, Jordan Walton, Rahul Soangra, Brent Harper
Student Scholar Symposium Abstracts and Posters
Concussions are traumatic brain injuries that affect the function of the brain. One of the primary symptoms of a concussion is a lack of reaction time. The people that are most susceptible to concussions are athletes; Laker’s (2011) study found that 135,000 patients that suffer concussions from playing sports are expected to be hospitalized each year, with football making up 75% of concussions at high school and college levels. Honda et al. (2018) suggested reaction time as an important biomarker of concussion. Laboratory camera-based motion capture data, while reliable, is not a realistic tool to use outside of a laboratory …
Macrodosing To Microdosing With Psychedelics: Clinical, Social, And Cultural Perspectives, Ayse Ceren Kaypak, Amir Raz
Macrodosing To Microdosing With Psychedelics: Clinical, Social, And Cultural Perspectives, Ayse Ceren Kaypak, Amir Raz
Psychology Faculty Articles and Research
To date, the clinical and scientific literature has best documented the effects of classical psychedelics, such as lysergic acid diethylamide (LSD), psilocybin, and dimethyltryptamine (DMT), in typical quantities most often associated with macrodosing. More recently, however, microdosing with psychedelics has emerged as a social trend and nascent therapeutic intervention. This variation in psychedelic practice refers to repeat, intermittent ingestion of less-than-macrodose amounts that do not cause the effects associated with full-blown “trips”. Microdosing paves the road to incorporating psychedelic drugs into a daily routine while maintaining, or even improving, cognitive and mental function. Unlike macrodosing with psychedelics, the influence of …
Assessing The Reidentification Risks Posed By Deep Learning Algorithms Applied To Ecg Data, Arin Ghazarian, Jianwei Zheng, Daniele Struppa, Cyril Rakovski
Assessing The Reidentification Risks Posed By Deep Learning Algorithms Applied To Ecg Data, Arin Ghazarian, Jianwei Zheng, Daniele Struppa, Cyril Rakovski
Mathematics, Physics, and Computer Science Faculty Articles and Research
ECG (Electrocardiogram) data analysis is one of the most widely used and important tools in cardiology diagnostics. In recent years the development of advanced deep learning techniques and GPU hardware have made it possible to train neural network models that attain exceptionally high levels of accuracy in complex tasks such as heart disease diagnoses and treatments. We investigate the use of ECGs as biometrics in human identification systems by implementing state-of-the-art deep learning models. We train convolutional neural network models on approximately 81k patients from the US, Germany and China. Currently, this is the largest research project on ECG identification. …
Cytotoxic Activity Of Non-Specific Lipid Transfer Protein (Nsltp1) From Ajwain (Trachyspermum Ammi) Seeds, Saud O. Alshammari, Taibah Aldakhil, Qamar A. Alshammari, David Salehi, Aftab Ahmed
Cytotoxic Activity Of Non-Specific Lipid Transfer Protein (Nsltp1) From Ajwain (Trachyspermum Ammi) Seeds, Saud O. Alshammari, Taibah Aldakhil, Qamar A. Alshammari, David Salehi, Aftab Ahmed
Pharmacy Faculty Articles and Research
Background
Trachyspermum ammi, commonly known as Ajwain, is a member of the Apiaceae family. It is a therapeutic herbal spice with diverse pharmacological properties, used in traditional medicine for various ailments. However, all previous studies were conducted using small molecule extracts, leaving the protein’s bioactivity undiscovered.
Aim
The current study aimed to demonstrate the cytotoxic activity of Ajwain non-specific lipid transfer protein (nsLTP1) in normal breast (MCF10A), breast cancer (MCF-7), and pancreatic cancer (AsPC-1) cell lines. Also, to evaluate its structural stability in human serum as well as at high temperature conditions.
Methods
The cytotoxic activity of Ajwain nsLTP1 was …
The Use Of Spectral Imaging To Reveal Inorganics And Organics Identity In The Biological Samples, Qamar Alshammari
The Use Of Spectral Imaging To Reveal Inorganics And Organics Identity In The Biological Samples, Qamar Alshammari
Pharmaceutical Sciences (PhD) Dissertations
The wavelength is used to identify the exact location and quantify the number of molecules in the spectral imaging system. It aids in identifying materials and studying their quantities by examining how they interact with light. A traditional spectrometer provides spectrum information of chemical compounds, while standard imaging provides the intensity at each pixel of the image. Spectral imaging (SI) combines these two aspects by equipping intensity and spectral data for each pixel. In biomedical research, it is important to assess the inorganics/organics molecules to understand drug activity, cellular toxicity, and distribution. Using the microscopy technique, we found for the …
A High Precision Machine Learning-Enabled System For Predicting Idiopathic Ventricular Arrhythmia Origins, Jianwei Zheng, Guohua Fu, Daniele Struppa, Islam Abudayyeh, Tahmeed Contractor, Kyle Anderson, Huimin Chu, Cyril Rakovski
A High Precision Machine Learning-Enabled System For Predicting Idiopathic Ventricular Arrhythmia Origins, Jianwei Zheng, Guohua Fu, Daniele Struppa, Islam Abudayyeh, Tahmeed Contractor, Kyle Anderson, Huimin Chu, Cyril Rakovski
Mathematics, Physics, and Computer Science Faculty Articles and Research
Background: Radiofrequency catheter ablation (CA) is an efficient antiarrhythmic treatment with a class I indication for idiopathic ventricular arrhythmia (IVA), only when drugs are ineffective or have unacceptable side effects. The accurate prediction of the origins of IVA can significantly increase the operation success rate, reduce operation duration and decrease the risk of complications. The present work proposes an artificial intelligence-enabled ECG analysis algorithm to estimate possible origins of idiopathic ventricular arrhythmia at a clinical-grade level accuracy.
Method: A total of 18,612 ECG recordings extracted from 545 patients who underwent successful CA to treat IVA were proportionally sampled into training, …
Applications Of Unsupervised Machine Learning In Autism Spectrum Disorder Research: A Review, Chelsea Parlett-Pelleriti, Elizabeth Stevens, Dennis R. Dixon, Erik J. Linstead
Applications Of Unsupervised Machine Learning In Autism Spectrum Disorder Research: A Review, Chelsea Parlett-Pelleriti, Elizabeth Stevens, Dennis R. Dixon, Erik J. Linstead
Engineering Faculty Articles and Research
Large amounts of autism spectrum disorder (ASD) data is created through hospitals, therapy centers, and mobile applications; however, much of this rich data does not have pre-existing classes or labels. Large amounts of data—both genetic and behavioral—that are collected as part of scientific studies or a part of treatment can provide a deeper, more nuanced insight into both diagnosis and treatment of ASD. This paper reviews 43 papers using unsupervised machine learning in ASD, including k-means clustering, hierarchical clustering, model-based clustering, and self-organizing maps. The aim of this review is to provide a survey of the current uses of …
Biologic Tnf-Α Inhibitors Reduce Microgliosis, Neuronal Loss, And Tau Phosphorylation In A Transgenic Mouse Model Of Tauopathy, Weijun Ou, Joshua Yang, Juste Simanauskaite, Matthew Choi, Demi M. Castellanos, Rudy Chang, Jiahong Sun, Nataraj Jagadeesan, Karen D. Parfitt, David H. Cribbs, Rachita K. Sumbria
Biologic Tnf-Α Inhibitors Reduce Microgliosis, Neuronal Loss, And Tau Phosphorylation In A Transgenic Mouse Model Of Tauopathy, Weijun Ou, Joshua Yang, Juste Simanauskaite, Matthew Choi, Demi M. Castellanos, Rudy Chang, Jiahong Sun, Nataraj Jagadeesan, Karen D. Parfitt, David H. Cribbs, Rachita K. Sumbria
Pharmacy Faculty Articles and Research
Background
Tumor necrosis factor-α (TNF-α) plays a central role in Alzheimer’s disease (AD) pathology, making biologic TNF-α inhibitors (TNFIs), including etanercept, viable therapeutics for AD. The protective effects of biologic TNFIs on AD hallmark pathology (Aβ deposition and tau pathology) have been demonstrated. However, the effects of biologic TNFIs on Aβ-independent tau pathology have not been reported. Existing biologic TNFIs do not cross the blood–brain barrier (BBB), therefore we engineered a BBB-penetrating biologic TNFI by fusing the extracellular domain of the type-II human TNF-α receptor (TNFR) to a transferrin receptor antibody (TfRMAb) that ferries the TNFR into the brain via …