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Articles 1 - 30 of 807
Full-Text Articles in Medicine and Health Sciences
Supporting Text And Data Analysis Across Campus From The Academic Library, Amy Kirchhoff, Hejin Shin Phd
Supporting Text And Data Analysis Across Campus From The Academic Library, Amy Kirchhoff, Hejin Shin Phd
Digital Initiatives Symposium
The ability to comprehend and communicate with text-based data is essential to future success in academics and employment, as evidenced in a recent survey from Bloomberg Research Services which shows that nearly 97% of survey respondents now use data analytics in their companies and 58% consider data and text mining a business analytics tool (https://www.sas.com/content/dam/SAS/bp_de/doc/studie/ba-st-the-current-state-of-business-analytics-2317022.pdf). This has fueled a substantial growth in text analysis research (involving the use of technology to analyze un- and semi-structured text data for valuable insights, trends, and patterns) across disciplines and a corresponding demand on academic libraries to support text analysis pedagogy and text analysis …
Hgs-3 The Influence Of A Tandem Cycling Program In The Community On Physical And Functional Health, Therapeutic Bonds, And Quality Of Life For Individuals And Care Partners Coping With Parkinson’S Disease, Leila Djerdjour, Jennifer L. Trilk
Hgs-3 The Influence Of A Tandem Cycling Program In The Community On Physical And Functional Health, Therapeutic Bonds, And Quality Of Life For Individuals And Care Partners Coping With Parkinson’S Disease, Leila Djerdjour, Jennifer L. Trilk
SC Upstate Research Symposium
Purpose Statement: Several studies have shown that aerobic exercise can have a positive impact on alleviating symptoms experienced by individuals with Parkinson's disease (PD). Despite this evidence, the potential benefits of exercise for both PD patients and their care partners (PD dyad) remain unexplored. This research project investigates the effectiveness, therapeutic collaborations, and physical outcomes of a virtual reality (VR) tandem cycling program specifically designed for PD dyads.
Methods: Following approval from the Prisma Health Institutional Review Board, individuals with PD were identified and screened by clinical neurologists. The pre-testing measures for PD dyads (N=9) included emotional and cognitive status …
The Impact Of Blood Flow Restriction On Heart Rate And Muscle Activation, Janaya Battles, Rajat Singh, Daniel Swier
The Impact Of Blood Flow Restriction On Heart Rate And Muscle Activation, Janaya Battles, Rajat Singh, Daniel Swier
Celebration of Research
Blood Flow Restriction (BFR) is a rehabilitation technique used in physical therapy to improve muscle growth in patients. The technique involves using blood cuffs on the limbs to occlude blood flow within the muscles, thus limiting the buildup of muscle growth inhibitors. The current literature provides information regarding these aspects but is limited in providing information regarding the impact of BFR on neural muscular coordination. Therefore, the purpose of this study was to determine how various pressure levels of the BFR cuffs can impact the muscle activation of the restrained muscles and heart rate. Our results have shown that a …
Phun With Phages: Discovering Novel Bacteriophages In The Soil, Julia Kutz, Ryan Dodds, Logan Dykstra, Taylor M. Rentschler, Emma Steinhardt, Megan Vangarven, Jacie Vanderwaal, Shayler Vangelder, Byron Noordewier, Sara S. Tolsma
Phun With Phages: Discovering Novel Bacteriophages In The Soil, Julia Kutz, Ryan Dodds, Logan Dykstra, Taylor M. Rentschler, Emma Steinhardt, Megan Vangarven, Jacie Vanderwaal, Shayler Vangelder, Byron Noordewier, Sara S. Tolsma
Celebration of Research
We used three bacterial hosts: Mycobacterium smegmatis, Microbacterium foliorum, and Gordonia terrae, to isolate novel bacteriophages from soil samples. We named these phages, created high titer lysates, and purified their DNA genomes. We have archived the high titer lysates at Northwestern College and the University of Pittsburgh. The genomes of three of our phages were sequences at the University of Pittsburgh and we will be sequencing the remaining genomes this summer. Additionally, we are planning to image our phages with transmission electron microscopy at the University of Iowa or Nebraska yet this semester.
A Systematic Review: Mirror Neurons & Schizophrenia, Yashesvi Sharma, Surajit Dey
A Systematic Review: Mirror Neurons & Schizophrenia, Yashesvi Sharma, Surajit Dey
Annual Research Symposium
This research project establishes a link between Mirror Neuron System (MNS) activity and this information's implications in treating and understanding schizophrenia, specifically, schizophrenic patients with negative symptoms.
Lstm-Based Recurrent Neural Network Predicts Influenza-Like-Illness In Variable Climate Zones, Alfred Amendolara, Christopher Gowans, Joshua Barton, David Sant, Andrew Payne
Lstm-Based Recurrent Neural Network Predicts Influenza-Like-Illness In Variable Climate Zones, Alfred Amendolara, Christopher Gowans, Joshua Barton, David Sant, Andrew Payne
Annual Research Symposium
Purpose: Influenza virus is responsible for a recurrent, yearly epidemic in most temperate regions of the world. For the 2021-2022 season the CDC reports 5000 deaths and 100,000 hospitalizations, a significant number despite the confounding presence of SARS-CoV-2. The mechanisms behind seasonal variance in flu burden are not well understood. Based on a previously validated model, this study seeks to expand understanding of the impact of variable climate regions on seasonal flu trends. To that end, three climate regions have been selected. Each region represents a different ecological region and provides different weather patterns showing how the climate variables impact …
Mechanistic Investigation Of C—C Bond Activation Of Phosphaalkynes With Pt(0) Complexes, Roberto M. Escobar, Abdurrahman C. Ateşin, Christian Müller, William D. Jones, Tülay Ateşin
Mechanistic Investigation Of C—C Bond Activation Of Phosphaalkynes With Pt(0) Complexes, Roberto M. Escobar, Abdurrahman C. Ateşin, Christian Müller, William D. Jones, Tülay Ateşin
Research Symposium
Carbon–carbon (C–C) bond activation has gained increased attention as a direct method for the synthesis of pharmaceuticals. Due to the thermodynamic stability and kinetic inaccessibility of the C–C bonds, however, activation of C–C bonds by homogeneous transition-metal catalysts under mild homogeneous conditions is still a challenge. Most of the systems in which the activation occurs either have aromatization or relief of ring strain as the primary driving force. The activation of unstrained C–C bonds of phosphaalkynes does not have this advantage. This study employs Density Functional Theory (DFT) calculations to elucidate Pt(0)-mediated C–CP bond activation mechanisms in phosphaalkynes. Investigating the …
La1-Xsrxcoo3 Perovskite Nanomaterial: Synthesis, Characterization, And Its Biomedical Application, Adhira Tippur, Anyet Shohag, Luke Franco, Ahmed Touhami, Swati Mohan, Mohammed Uddin
La1-Xsrxcoo3 Perovskite Nanomaterial: Synthesis, Characterization, And Its Biomedical Application, Adhira Tippur, Anyet Shohag, Luke Franco, Ahmed Touhami, Swati Mohan, Mohammed Uddin
Research Symposium
Early cancer detection is paramount for effective treatment and potential cures. This research explores the application of perovskite materials, specifically Sr2+-doped Lanthanum Cobaltite (La1-xSrxCoO3) nanomaterials, in cancer detection, with a focus on rats as an experimental model. The ferroelectric nature of these materials, synthesized through a combination of sol-gel and molten-salt processes, was examined at varying Sr2+ doping levels (1-20 wt%). Rigorous characterization, employing X-ray diffraction and scanning electron microscopy, confirmed the uniform morphology of nano cubes, laying the foundation for subsequent investigations. The magnetic properties of the perovskite nanoparticles were probed, suggesting their potential as a diagnostic tool for …
Characterization Of Biological Particles Using An Integrated Hyperspectral Imaging And Machine Learning, Kaeul Lim, Arezoo Ardekani
Characterization Of Biological Particles Using An Integrated Hyperspectral Imaging And Machine Learning, Kaeul Lim, Arezoo Ardekani
Graduate Industrial Research Symposium
Hyperspectral imaging (HSI) is a promising modality in medicine with many potential applications. This study focuses on developing a label-free lipid nanoparticle characterization method using a convolutional neural network (CNN) analysis of HSI images. The HSI data, hypercube, consists of a series of images acquired at different wavelengths for the same field of view, providing continuous spectra information for each pixel. Three distinct liposome samples were collected for analysis. Advanced image preprocessing and classification methods for HSI data were developed to differentiate liposomes based on their material compositions. Our machine learning-based classification method was able to distinguish different liposome types …
Sepsis Treatment: Reinforced Sequential Decision-Making For Saving Lives, Dipesh Tamboli, Jiayu Chen, Kiran Pranesh Jotheeswaran, Denny Yu, Vaneet Aggarwal
Sepsis Treatment: Reinforced Sequential Decision-Making For Saving Lives, Dipesh Tamboli, Jiayu Chen, Kiran Pranesh Jotheeswaran, Denny Yu, Vaneet Aggarwal
Graduate Industrial Research Symposium
Sepsis, a life-threatening condition triggered by the body's exaggerated response to infection, demands urgent intervention to prevent severe complications. Existing machine learning methods for managing sepsis struggle in offline scenarios, exhibiting suboptimal performance with survival rates below 50%. Our project introduces the "PosNegDM: Reinforcement Learning with Positive and Negative Demonstrations for Sequential Decision-Making" framework utilizing an innovative transformer-based model and a feedback reinforcer to replicate expert actions while considering individual patient characteristics. A mortality classifier with 96.7% accuracy guides treatment decisions towards positive outcomes. The PosNegDM framework significantly improves patient survival, saving 97.39% of patients and outperforming established machine learning …
Assessing Gait Metrics For Early Parkinson's Disease Prediction: A Preliminary Analysis Of Underfit Models, Daniel Salinas, Gerardo Medellin, Katherine Bolado, Tomas Gomez, Kelsey Potter-Baker, Nawaz Khan Abdul Hack, Ramu Vadukapuram
Assessing Gait Metrics For Early Parkinson's Disease Prediction: A Preliminary Analysis Of Underfit Models, Daniel Salinas, Gerardo Medellin, Katherine Bolado, Tomas Gomez, Kelsey Potter-Baker, Nawaz Khan Abdul Hack, Ramu Vadukapuram
Research Symposium
Background: Parkinson's Disease (PD) is characterized by both motor and non-motor symptoms, and its diagnosis primarily relies on clinical presentation. There is a growing need for diagnostic tools to identify the early signs of PD, particularly the initial motor impairments often manifested as gait abnormalities. Here we seek to present preliminary findings to address this need. Our study focuses on using Machine Learning techniques (ML) to predict the PD clinical stage most efficiently and accurately. Specifically, we have sought to evaluate how spatiotemporal characteristics and other locomotor performance variables obtained on a walkway system can be utilized to identify the …
Assessment Of Mucin 13 (Muc13) As An Imaging Target For Guiding Colorectal Cancer Treatment: A Pathway Towards Theranostic Development, Ryan P. Coll, Aiko Yamaguchi, Jianbo Wang, Xiaoxia Wen, Denise Hernandez, Subhash C. Chauhan, H. Charles Manning
Assessment Of Mucin 13 (Muc13) As An Imaging Target For Guiding Colorectal Cancer Treatment: A Pathway Towards Theranostic Development, Ryan P. Coll, Aiko Yamaguchi, Jianbo Wang, Xiaoxia Wen, Denise Hernandez, Subhash C. Chauhan, H. Charles Manning
Research Symposium
Background: A theranostic strategy combining diagnostic imaging and targeted therapy in a single regimen is proposed for improved management and treatment of colorectal cancer (CRC). Increased specificity in detection by the noninvasive imaging technique positron emission tomography (PET) can be achieved by radiolabeling antibodies (Abs) designed to target tumor-associated antigens with increased expression post-translational modifications present in cancer cells. In this study, an Ab designed to target the transmembrane glycoprotein mucin 13 (MUC13) was radiolabeled with the positron-emitting radionuclide zirconium-89 (89Zr) for PET imaging of a xenograft mouse model of CRC. Specified uptake of this radioimmunoconjugate was observed …
Revolutionizing Denture Excellence: An Invigorating In-Vitro Exploration Of Organic Products In Prosthetic Rehabilitation, Nighila Ravindran, Sneha Joseph, Aswani Surya K
Revolutionizing Denture Excellence: An Invigorating In-Vitro Exploration Of Organic Products In Prosthetic Rehabilitation, Nighila Ravindran, Sneha Joseph, Aswani Surya K
Annual Research Symposium
The denture base comes into contact with diverse substances in the oral cavity, acting as a reservoir for microorganisms like corynebacterium, streptococcus, lactobacillus, and candida. This colonization elevates the risk of complications such as denture stomatitis and candidiasis. Commercial denture cleaners have explored the use of natural ingredients, less commonly employed but offering various advantages. These ingredients aim to mitigate the potential issues associated with microbial colonization on denture surfaces, contributing to improved oral hygiene for denture wearers. The exploration of natural elements reflects a nuanced approach to denture care, considering both efficacy and less conventional alternatives.
Investigating Racial And Ethnic Healthcare Disparities In Screenable Ob/Gyn-Related Cancers, Lara Laughrey
Investigating Racial And Ethnic Healthcare Disparities In Screenable Ob/Gyn-Related Cancers, Lara Laughrey
Annual Research Symposium
This is a scoping review of peer-reviewed literature addressing healthcare inequity based on race and ethnicity with a specific focus on Ob/Gyn-related management and treatment of screenable cancers.
Assessment Of Emotional Intelligence Among Students In Dental College, Gowri Nandana S Final Year Student, Sudeep C. B Professor And Head Of The Department Of Public Health Dentistry
Assessment Of Emotional Intelligence Among Students In Dental College, Gowri Nandana S Final Year Student, Sudeep C. B Professor And Head Of The Department Of Public Health Dentistry
Annual Research Symposium
Over an extended period, the examination of intelligence predominantly centered on the adaptive deployment of cognitive abilities. In more recent times, scholars such as Gardner (1983) and Sternberg (1988) have proposed comprehensive frameworks for comprehending intelligence. Pioneering the concept of "emotional intelligence," Salovey and Mayer (1990) posited that emotional intelligence encompasses three distinct categories of adaptive capabilities: the evaluation and expression of emotions, the regulation of emotions, and the utilization of emotions in problem-solving. The objective is to evaluate emotional intelligence among dental students across various educational institutions.
Quality Of Life In Orthodontics, Claudia Eisenhuth, Gabriel Eisenhuth, Connor Schwartz, Amir Mohajeri, Man Hung, Tiffany Nelson, Ryann Glenn
Quality Of Life In Orthodontics, Claudia Eisenhuth, Gabriel Eisenhuth, Connor Schwartz, Amir Mohajeri, Man Hung, Tiffany Nelson, Ryann Glenn
Annual Research Symposium
Orthodontic treatment goes beyond mere cosmetic enhancement; it significantly impacts various aspects of an individual's quality of life. Beyond the physical benefits of improved oral function and prevention of dental issues, orthodontics also yields profound psychological benefits. Aligned teeth enhance self-confidence, reduce social anxiety, and contribute to better relationships and professional opportunities. Moreover, addressing dental concerns through orthodontic treatment reduces psychological distress and promotes overall happiness and satisfaction. Real-life case studies vividly illustrate the transformative effects of orthodontic interventions, emphasizing the importance of considering quality of life outcomes in dental care.
Exploring The Interconnected Role Of The Oral Microbiome And Periodontal Disease In The Development And Progression Of Oral Squamous Cell Carcinoma, Malak Al-Regib, Claudia M. Tellez Freitas
Exploring The Interconnected Role Of The Oral Microbiome And Periodontal Disease In The Development And Progression Of Oral Squamous Cell Carcinoma, Malak Al-Regib, Claudia M. Tellez Freitas
Annual Research Symposium
This comprehensive review explores the complex linkage among the oral microbiome, periodontal disease, and the onset and progression of oral squamous cell carcinoma (OSCC).
Success And Challenges Of Infrazygomatic Crest Implants In Orthodontics, Gauri Gill
Success And Challenges Of Infrazygomatic Crest Implants In Orthodontics, Gauri Gill
Annual Research Symposium
Poster on success rates of mini implants used in the infrazygomatic region for orthodontic anchorage , as well as the factors that influence the success of the mini implant placed in IZC region.
Investigating The Role Of Chaos In Minimizing Tumor Growth, Maxwell Geiger
Investigating The Role Of Chaos In Minimizing Tumor Growth, Maxwell Geiger
Annual Research Symposium
Chaos is a type of motion found in mathematical systems that is highly sensitive to initial conditions. While many biological systems described in literature have been analyzed for the presence of chaotic dynamics, there are still many that are yet to be discovered. The goal of this project is to reassess Itik and Banks’ discovery of chaotic behavior in their population dynamics model of cancer growth. Once chaotic behavior is confirmed, we want to investigate how chaos could possibly be controlled to minimize tumor growth and discover novel treatments for cancer patients.
A Pharmacist’S Central Role In Improving Hormonal Contraceptive Access, Aleese Smith, Urvi Patel, Alexandra Arledge, Josie Young, Erin Johanson
A Pharmacist’S Central Role In Improving Hormonal Contraceptive Access, Aleese Smith, Urvi Patel, Alexandra Arledge, Josie Young, Erin Johanson
Annual Research Symposium
In 2019, the roles of Utah pharmacists grew with the implementation of a statewide standing order allowing prescribing abilities for hormonal contraceptives. With the rates of unplanned pregnancies in Utah up to 1 in every 5; pharmacists have a new role in birth control distribution. Pharmacists and pharmacy interns across the state of Utah are able to prescribe self-administered hormonal contraceptive medications including: oral pills, vaginal insertion medications, and birth control patches. Pharmacists are entrusted with the responsibility to evaluate the patient and their needs to ensure all women receiving birth control are educated about the risks and side effects …
The National Status Of Pharmacists’ Ability To Prescribe Hormonal Contraceptives, Aleese Smith, Urvi Patel, Alexandra Arledge, Josie Young, Erin Johanson
The National Status Of Pharmacists’ Ability To Prescribe Hormonal Contraceptives, Aleese Smith, Urvi Patel, Alexandra Arledge, Josie Young, Erin Johanson
Annual Research Symposium
The scope of practice for pharmacists first expanded in California and Oregon with the ability to prescribe hormonal contraceptives to patients in their communities. Since 2016, over 33 states now allow for pharmacist prescribing of birth control in their pharmacy practice laws.
90% of Americans live within 5 miles of a retail pharmacy, making community pharmacies an accessible resource who may otherwise be unable to access contraceptives. The gap in care experienced by certain patient populations is now being filled by pharmacists with their ability to prescribe birth control.
Ligaplant: Recreating Natural From Artificial, Disha Kamavisdar
Ligaplant: Recreating Natural From Artificial, Disha Kamavisdar
Annual Research Symposium
Missing teeth can be substituted by the use of the dental implants. The most widely used implants in the current scenario are the osseointegrated implants with various shortcomings and the most prominent one is the lack of the periodontal ligament. To overcome this, implants with periodontal ligaments can be procured and this can be possible by the application of the tissue engineering concept along with suitable implant material.
Application Of In-Silico Computational Biology Strategies To Demonstrate Mechanism Of Oral Cancer Cell Death By Natural Peptide, Dr Dominic Augustine
Application Of In-Silico Computational Biology Strategies To Demonstrate Mechanism Of Oral Cancer Cell Death By Natural Peptide, Dr Dominic Augustine
Annual Research Symposium
This research work is designed to identify biomolecules from Earthworm Coelomic Fluid (ECF) of Eudrilus Eugeniae (EE) that can inhibit oral cancer cells from proliferating. The study aims to construct a homology model of the 18 kDa protein from ECF of EE (18-ECFP) with molecular dynamics simulation (MDS) to enable its molecular docking with pro-apoptotic caspase receptors with determination of binding energy scores. The study also evaluates the anti-cancer potential of 18-ECFP on SCC-9 cells in vitro by wet lab techniques.
Pathogenic Implications Of Candidal Species In Both Oral Cancer And Oral Potentially Malignant Disorders - A Review, Dr Dominic Augustine, Sowmya Sv, Kuntala Mondal
Pathogenic Implications Of Candidal Species In Both Oral Cancer And Oral Potentially Malignant Disorders - A Review, Dr Dominic Augustine, Sowmya Sv, Kuntala Mondal
Annual Research Symposium
Oral squamous cell carcinoma (OSCC) is the 6th most common cancer in worldwide. Cigarette smoking, alcohol consumption, and betel quid chewing are its major risk factors other factors that can lead to OSCC include excessive sun exposure, viral or fungal infection, poor nutrition, and poor oral hygiene. The carcinogenesis of OSCC occurs gradually and oral epithelial dysplasia is considered a potential histologic precursor of OSCC. Most OSCC cases are preceded by clinically evident oral potentially malignant disorders (OPMDs). The aim of this review is to correlate the association between Candida species and oral potentially malignant disorders and its possible mechanisms …
Immunohistochemical Expression Of Cyclin D1 In Dentigerous Cyst, Odontogenic Keratocyst And Unicystic Ameloblastoma- An In-Vitro Study, Kuntala Mondal, Sv Sowmya, Dominic Augustine
Immunohistochemical Expression Of Cyclin D1 In Dentigerous Cyst, Odontogenic Keratocyst And Unicystic Ameloblastoma- An In-Vitro Study, Kuntala Mondal, Sv Sowmya, Dominic Augustine
Annual Research Symposium
Cyclin D1, a G1 cyclin member, regulates the transition of the cell cycle from the G1 phase to the S phase. The uncontrolled and elevated expression of cyclin D1 has been associated with rapid growth, heightened proliferative activity and increased histologic aggressiveness. Unicystic ameloblastoma pertains to cystic lesions that present clinical, radiographic, or gross features akin to jaw cysts. Nevertheless, upon histological scrutiny, these lesions display a distinctive ameloblastomatous epithelium lining the cystic cavity, with or without luminal or mural proliferation. This cystic variant of tumor bears substantial resemblances to dentigerous cysts, and occasionally, both entities can become indistinguishable upon …
An Immunohistochemical Panel For The Accurate Differentiation Between Mucoepidermoid Carcinoma And Pleomorphic Adenoma, Kuntala Mondal, Sv Sowmya, Dominic Augustine
An Immunohistochemical Panel For The Accurate Differentiation Between Mucoepidermoid Carcinoma And Pleomorphic Adenoma, Kuntala Mondal, Sv Sowmya, Dominic Augustine
Annual Research Symposium
Salivary Gland Tumors (SGTs) are a diverse group of neoplasms, with a wide range of histological subtypes, some of which can exhibit overlapping features. Amongst this group of tumors, Pleomorphic Adenoma (PA) and Mucoepidermoid Carcinoma (MEC) stand out as prevalent entities originating from the salivary glands. The accurate differentiation between these two entities is crucial for treatment planning, as it influences decisions regarding the extent of surgical resection. Because of the overlapping histopathological features, it is difficult to differentiate these two lesions with the help of conventional Hematoxylin & Eosin (H& E). The evaluation of Immunohistochemical (IHC) markers holds pivotal …
Cheiloscopic Characteristics Detection And Pattern Classification By Machine Learning Technique, Dr Dominic Augustine, Sowmya Sv
Cheiloscopic Characteristics Detection And Pattern Classification By Machine Learning Technique, Dr Dominic Augustine, Sowmya Sv
Annual Research Symposium
Machine Learning (ML) is a field enhancing the rapid growth of technology. Though use of digital softwares for cheiloscopic investigations have been attempted with limited success, the use of ML based techniques are scarce and seldom have been employed in forensic odontology. The present study aimed to identify cheiloscopic patterns through machine learning based methods and to correlate the segmented patterns with age and gender of individuals.
Association Between Abo Blood Grouping And Odontometry: An Unexplored Evidence In Forensics, Dr Dominic Augustine, Sowmya Sv
Association Between Abo Blood Grouping And Odontometry: An Unexplored Evidence In Forensics, Dr Dominic Augustine, Sowmya Sv
Annual Research Symposium
Recent research has exhibited a strong association between ABO blood groups and susceptibility to diseases. Extraoral and intraoral hard tissue landmarks provide a stable and reliable record for odontological and anthropological analysis, forensic investigations and identification. The association between anthropometric indices and ABO blood grouping have been reported in the past, however, the association between ABO blood groups and odontometric indices is yet to be comprehensively explored. This study aimed to establish the correlation of ABO blood groups with odontometric indices and extraoral hard tissue landmarks for personnel identification.
Advanced Techniques For Tooth Pulp Rna Extraction In Forensic Investigations-A Systematic Review, Kuntala Mondal, Sv Sowmya, Dominic Augustine
Advanced Techniques For Tooth Pulp Rna Extraction In Forensic Investigations-A Systematic Review, Kuntala Mondal, Sv Sowmya, Dominic Augustine
Annual Research Symposium
Teeth are fundamental structures in a forensic context due to their high strength and specificity. It is challenging to obtain high quality RNA from pulpal tissues. It has been described that pulp RNA degradation could be an indicator of post-mortem interval. Researchers have been in the quest to develop optimal techniques for tooth RNA extraction. The systematic review aimed to determine the most reliable method of RNA extraction from dental tooth pulp for forensic investigations.
Assessment Of Micrometastasis In Lymph Nodes Of Oral Squamous Cell Carcinoma –Attaining Excellence Through Immunohistochemistry, Dr Dominic Augustine, Sowmya Sv, Kuntala Mondal
Assessment Of Micrometastasis In Lymph Nodes Of Oral Squamous Cell Carcinoma –Attaining Excellence Through Immunohistochemistry, Dr Dominic Augustine, Sowmya Sv, Kuntala Mondal
Annual Research Symposium
Cervical lymph node metastasis is the most important prognostic factor in Squamous Cell Carcinoma of Head and Neck (SCCHN). Lymph node prognostic determinants hold immense significance in influencing both patient’s survival outcomes and the propensity for recurrence. The current study aimed to evaluate the diagnostic accuracy of Cyclin D1 and Pan-CK for the detection of lymph node micrometastasis in oral squamous cell carcinoma tissue sections and re-evaluate the tumor staging.