Open Access. Powered by Scholars. Published by Universities.®
Biomedical Engineering and Bioengineering Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Institution
-
- Old Dominion University (267)
- University of Kentucky (93)
- University of Arkansas, Fayetteville (58)
- Dartmouth College (51)
- Virginia Commonwealth University (48)
-
- City University of New York (CUNY) (46)
- Purdue University (45)
- California Polytechnic State University, San Luis Obispo (38)
- University of Nebraska - Lincoln (35)
- Wayne State University (29)
- University of New Mexico (27)
- University of South Florida (27)
- University of Nevada, Las Vegas (26)
- Marquette University (24)
- University Press of Morocco (24)
- The Texas Medical Center Library (23)
- Chapman University (21)
- Washington University in St. Louis (21)
- Rowan University (20)
- The University of Akron (19)
- Clemson University (18)
- Technological University Dublin (16)
- University of Louisville (16)
- University of Malaya (16)
- Louisiana Tech University (15)
- New Jersey Institute of Technology (15)
- University of Connecticut (15)
- West Virginia University (15)
- Universitas Indonesia (14)
- University of Nebraska at Omaha (14)
- Keyword
-
- Humans (42)
- Biomechanics (30)
- Machine learning (28)
- Electroporation (26)
- Female (24)
-
- Cancer (23)
- Nanoparticles (20)
- Aging (19)
- Biomedical engineering (19)
- Bone (19)
- Tissue engineering (18)
- Deep learning (17)
- Diagnosis (17)
- Breast cancer (15)
- Drug delivery (15)
- Magnetic Resonance Imaging (15)
- Biosensors (14)
- Magnetic resonance imaging (14)
- Male (14)
- Medicine (14)
- Neuromodulation (14)
- Applied sciences (13)
- Health and environmental sciences (13)
- Imaging (13)
- Medical imaging (13)
- Microfluidics (13)
- Nanotechnology (13)
- Biomaterials (12)
- Fluorescence (12)
- Neuroimaging (12)
- Publication Year
- Publication
-
- Bioelectrics Publications (88)
- Theses and Dissertations (48)
- Electrical & Computer Engineering Faculty Publications (42)
- Dartmouth Scholarship (36)
- Electronic Theses and Dissertations (32)
-
- Publications and Research (30)
- USF Tampa Graduate Theses and Dissertations (27)
- Health Sciences (24)
- The Summer Undergraduate Research Fellowship (SURF) Symposium (23)
- Master's Theses (21)
- Graduate Theses and Dissertations (20)
- McKelvey School of Engineering Graduate Student Theses & Dissertations (19)
- Biomedical Engineering ETDs (18)
- Biomedical Engineering Undergraduate Honors Theses (18)
- Doctoral Dissertations (18)
- Theses and Dissertations--Biomedical Engineering (18)
- Williams Honors College, Honors Research Projects (18)
- Biology and Medicine Through Mathematics Conference (16)
- Dissertations (15)
- Dissertations and Theses (15)
- Dissertations and Theses (Open Access) (15)
- Biomedical Engineering (14)
- Center for Bioelectronics Publications (14)
- Electrical & Computer Engineering Theses & Dissertations (14)
- UNLV Theses, Dissertations, Professional Papers, and Capstones (14)
- UNO Student Research and Creative Activity Fair (14)
- Honors Theses (13)
- Student Works (2020-2029) (13)
- Wayne State University Dissertations (13)
- Biomedical Engineering Faculty Publications (12)
- Publication Type
- File Type
Articles 421 - 450 of 1504
Full-Text Articles in Biomedical Engineering and Bioengineering
Synthesis, Radiolabeling And Evaluation Of A Suite Of Tracers With 44Sc For Detecting Extracellular Dna, Zhiyao Li
McKelvey School of Engineering Graduate Student Theses & Dissertations
Neutrophil extracellular traps involve the rapid translocation of DNA to the outside of the cell under certain stimuli. This structure forms a fibrous network that is able to limit the spread of pathogens and to kill microorganisms. It has also been shown to be present in various pathological processes such as inflammation, autoimmune diseases, and cancer metastasis. Currently, the formation process of NETs in vivo is being extensively studied. However noninvasive detection and quantitation has yet to be achieved. A class of PET tracers are described here that consists of a DNA dye as the backbone that is labeled with …
An In Vivo Biocompatibility Analysis Of A Novel Tissue Regeneration Matrix Using A Pig Model, Shamar Thomas
An In Vivo Biocompatibility Analysis Of A Novel Tissue Regeneration Matrix Using A Pig Model, Shamar Thomas
All Theses
The goal of this project is to develop an injectable bead scaffold to promote tissue regeneration in the void created by lumpectomy and to alleviate post lumpectomy problems by preventing local recurrence and minimizing surgical-related infections. Microbeads were synthesized from collagen type I and crosslinked with tannic acid to form the basis for this injectable therapeutic. Tannic acid acts as a therapeutic anticancer agent. The action mechanisms of tannins in breast cancer cells have been studied with studies showing tannins to be cytotoxic to cancer cells in a dose-dependent manner. Tannic acid induces apoptosis in breast cancer cells via caspase …
Mechanical Properties And Morphological Alterations In Fiber-Based Scaffolds Affecting Tissue Engineering Outcomes, James Dolgin, Samerender Nagam Hanumantharao, Stephen Farias, Carl G. Simon, Smitha Rao
Mechanical Properties And Morphological Alterations In Fiber-Based Scaffolds Affecting Tissue Engineering Outcomes, James Dolgin, Samerender Nagam Hanumantharao, Stephen Farias, Carl G. Simon, Smitha Rao
Michigan Tech Publications, Part 1
Electrospinning is a versatile tool used to produce highly customizable nonwoven nanofiber mats of various fiber diameters, pore sizes, and alignment. It is possible to create electrospun mats from synthetic polymers, biobased polymers, and combinations thereof. The post-processing of the end products can occur in many ways, such as cross-linking, enzyme linking, and thermal curing, to achieve enhanced chemical and physical properties. Such multi-factor tunability is very promising in applications such as tissue engineering, 3D organs/organoids, and cell differentiation. While the established methods involve the use of soluble small molecules, growth factors, stereolithography, and micro-patterning, electrospinning involves an inexpensive, labor …
Regenerative Medicine For Tendon/Ligament Injuries: De Novo Equine Tendon/Ligament Neotissue Generation And Application, Takashi Taguchi
Regenerative Medicine For Tendon/Ligament Injuries: De Novo Equine Tendon/Ligament Neotissue Generation And Application, Takashi Taguchi
LSU Doctoral Dissertations
Tendon and ligament injuries are debilitating conditions across species. Poor regenerative capacities of these tissues limit restoration of original functions. The first study evaluated the effect of cellular administration on tendon/ligament injuries in horses using meta-analysis. The cellular administration was effective in restoring ultrasonographic echogenicity and increasing vascularity during early phase of healing. Additionally, it improved microstructural organization of healed tissue in terms of cellularity and fiber alignment. However, the study did not support its use for increasing rate of return to performance, expression/deposition of tendon-specific genes/proteins, or mechanical properties.
The findings led to the second study that engineered implantable …
Recent Advances In Antimicrobial Peptide Hydrogels, Aryanna Copling, Maxwell Akantibila, Raaha Kumaresan, Gilbert Fleischer, Dennise Cortes, Rahul S Tripathi, Valerie J. Carabetta, Sebastian Vega
Recent Advances In Antimicrobial Peptide Hydrogels, Aryanna Copling, Maxwell Akantibila, Raaha Kumaresan, Gilbert Fleischer, Dennise Cortes, Rahul S Tripathi, Valerie J. Carabetta, Sebastian Vega
Cooper Medical School of Rowan University Departmental Research
Advances in the number and type of available biomaterials have improved medical devices such as catheters, stents, pacemakers, prosthetic joints, and orthopedic devices. The introduction of a foreign material into the body comes with a risk of microbial colonization and subsequent infection. Infections of surgically implanted devices often lead to device failure, which leads to increased patient morbidity and mortality. The overuse and improper use of antimicrobials has led to an alarming rise and spread of drug-resistant infections. To overcome the problem of drug-resistant infections, novel antimicrobial biomaterials are increasingly being researched and developed. Hydrogels are a class of 3D …
Enhancement Of Deep Learning Protein Structure Prediction, Ruoming Shen
Enhancement Of Deep Learning Protein Structure Prediction, Ruoming Shen
Modeling, Simulation and Visualization Student Capstone Conference
Protein modeling is a rapidly expanding field with valuable applications in the pharmaceutical industry. Accurate protein structure prediction facilitates drug design, as extensive knowledge about the atomic structure of a given protein enables scientists to target that protein in the human body. However, protein structure identification in certain types of protein images remains challenging, with medium resolution cryogenic electron microscopy (cryo-EM) protein density maps particularly difficult to analyze. Recent advancements in computational methods, namely deep learning, have improved protein modeling. To maximize its accuracy, a deep learning model requires copious amounts of up-to-date training data.
This project explores DeepSSETracer, a …
Image Analysis Methodology For Evaluating Coating Uniformity Of Drug-Coated Angioplasty Balloons, Allison Dobson Zieschang
Image Analysis Methodology For Evaluating Coating Uniformity Of Drug-Coated Angioplasty Balloons, Allison Dobson Zieschang
LSU Master's Theses
Percutaneous transluminal balloon angioplasty (PTA) is a surgical procedure to treat peripheral artery disease, but restenosis causes suboptimal outcomes in many patients. Drug-coated angioplasty balloons (DCBs) were developed to reduce the risk of restenosis by delivering anti-proliferative drugs to the lesion. The efficacy of DCBs depends on factors like drug loading and drug release rate, both of which are directly impacted by the coating uniformity. This thesis evaluates the uniformity of DBCs using fluorescence microscopy, scanning electron microscopy (SEM), qualitative analysis, and an image processing algorithm. Uniformity was quantified by three measurements: histogram standard deviation, histogram percentage of coverage, and …
Transcriptome Profiling Of A Synergistic Volumetric Muscle Loss Repair Strategy, Kevin Roberts, John Taehwan Kim, Jacob Schluns, Grady Dunlap, Jamie Hestekin, Jeffery Wolchok
Transcriptome Profiling Of A Synergistic Volumetric Muscle Loss Repair Strategy, Kevin Roberts, John Taehwan Kim, Jacob Schluns, Grady Dunlap, Jamie Hestekin, Jeffery Wolchok
Biomedical Engineering Faculty Publications and Presentations
Volumetric muscle loss overwhelms skeletal muscle’s ordinarily capable regenerative machinery, resulting in severe functional deficits that have defied clinical repair strategies. In this manuscript we pair the early in vivo functional response induced by differing volumetric muscle loss tissue engineering repair strategies that are broadly representative of those explored by the field (scaffold alone, cells alone, or scaffold + cells) to the transcriptomic response induced by each intervention. We demonstrate that an implant strategy comprising allogeneic decellularized skeletal muscle scaffolds seeded with autologous minced muscle cellular paste (scaffold + cells) mediates a pattern of increased expression for several genes known …
Decellularized Heart Extracellular Matrix As A Biomimetic Substrate For Alleviating Hipsc-Cardiac Fibroblast Activation And Enhancing Isogenic Cardiac Organoids, Charles Kerr
MUSC Theses and Dissertations
Cardiovascular disease is the constant leading cause of death worldwide. While substantial efforts have been undertaken to improve disease outcomes, the lack of adequate human cardiac tissue models exacerbates research and development costs and clinical trial failures, hampering novel therapeutic discovery. To address this, human engineered cardiac microtissues composed of human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CM) show potential in recapitulating hallmark qualities of natural human myocardium for novel therapeutic testing, disease modeling and cardiotoxicity screening. However, as these models are engineered in vitro, they are limited in their capacity to fully recapitulate myocardium and are vulnerable to influences …
Estimating Rotator Cuff Injury Risk During Rear-End Vehicle Collisions Using Opensim, Brandon Fugger
Estimating Rotator Cuff Injury Risk During Rear-End Vehicle Collisions Using Opensim, Brandon Fugger
Health and Kinesiology Theses
Automobile collisions in the United States lead to a staggering number of fatalities and injuries every year. Rear-end collisions account for over a quarter of all injury-producing collisions and often involve shoulder injuries. There is little, if any, research utilizing modern computational human body models to analyze rotator cuff injury risk during rear-end impacts. The goal of this research is to simulate rear-end impact crash forces using OpenSim and analyze the injury mechanism and risk to the rotator cuff muscles. OpenSim is an open-source software used for biomechanical modeling and simulation that enables the analysis of muscle behaviors that are …
The Effects Of Demographics And Risk Factors On The Morphological Characteristics Of Human Femoropopliteal Arteries, Sayed Ahmadreza Razian, Majid Jadidi, Alexey Kamenskiy
The Effects Of Demographics And Risk Factors On The Morphological Characteristics Of Human Femoropopliteal Arteries, Sayed Ahmadreza Razian, Majid Jadidi, Alexey Kamenskiy
UNO Student Research and Creative Activity Fair
Background: Disease of the lower extremity arteries (Peripheral Arterial Disease, PAD) is associated with high morbidity and mortality. During disease development, the arteries adapt by changing their diameter, wall thickness, and residual deformations, but the effects of demographics and risk factors on this process are not clear.
Methods: Superficial femoral arteries from 736 subjects (505 male, 231 female, 12 to 99 years old, average age 51±17.8 years) and the associated demographic and risk factor variables were used to construct machine learning (ML) regression models that predicted morphological characteristics (diameter, wall thickness, and longitudinal opening angle resulting from the …
Differentiating Axonal From Demyelinating Neuropathies Using Multiparametric Quantitative Mri Of Peripheral Nerves, Jacob D. Baraz, Stephanie Xuan, Sadaf Saba, Xue Yang, Ryan Castoro, Yang Xuan, Alison Roth, Richard D. Dortch, Jun Li, Yongsheng Chen
Differentiating Axonal From Demyelinating Neuropathies Using Multiparametric Quantitative Mri Of Peripheral Nerves, Jacob D. Baraz, Stephanie Xuan, Sadaf Saba, Xue Yang, Ryan Castoro, Yang Xuan, Alison Roth, Richard D. Dortch, Jun Li, Yongsheng Chen
Medical Student Research Symposium
Objectives: To develop a multiparametric quantitative MRI (qMRI) method to track pathological changes in the peripheral neuropathies.
Background: Irrespective of the causes or types of polyneuropathies, peripheral nerves are mainly afflicted by two kinds of pathologies – axonal loss and demyelination. It is critical to differentiate between the two as treatments are different for the two conditions. While nerve conduction studies (NCS) have been used to differentiate the two pathologies in the distal nerves, there are no tools to probe the pathologies in the proximal peripheral nerves. This is particularly needed when distal nerves become non-responsive in NCS.
Methods: We …
Evaluation Of A Portable Gynecological Examination Table On Increasing Access To Cervical Cancer Screenings, Brennan Burrows, Giuliana Motta, Vibhasri Davuluri, Urvee Deo, Aman Tahir, Brindha Rajakumar, Jacob Blumenstein, Eliza Steinberg, Mariam Tobia, Asmita Tuladhar, Abigail Ahn
Evaluation Of A Portable Gynecological Examination Table On Increasing Access To Cervical Cancer Screenings, Brennan Burrows, Giuliana Motta, Vibhasri Davuluri, Urvee Deo, Aman Tahir, Brindha Rajakumar, Jacob Blumenstein, Eliza Steinberg, Mariam Tobia, Asmita Tuladhar, Abigail Ahn
Medical Student Research Symposium
Introduction: Cervical cancer is a preventable disease affecting millions of women worldwide, with higher prevalence and mortality in developing countries. One explanation of this disparity is due to reduced access to screenings, especially in rural communities where mobile health clinics are limited by what medical equipment they can bring. To address these barriers, an engineering team called Project MESA (Making Examinations Safe and Accessible) designed a gynecological examination table that is portable, lightweight, and easily sanitizable.
Objective: This study aims to (1) evaluate whether the implementation of this device improves the clinician’s ability to perform pap smears as opposed to …
Development And Implementation Of Telemetry Devices To Identify And Characterize Sources Of Intraocular Pressure Variability In Rats, Christina M. Nicou
Development And Implementation Of Telemetry Devices To Identify And Characterize Sources Of Intraocular Pressure Variability In Rats, Christina M. Nicou
USF Tampa Graduate Theses and Dissertations
Eye health depends partially on intraocular pressure (IOP) as abnormal levels can lead to ocular tissue damage. Glaucoma is a neurodegenerative disease that affects nearly 80 million people worldwide [1]. It is associated with elevated IOP, which can lead to irreversible blindness. Relatively little is known about IOP dynamics and the physiological factors that affect it as IOP is typically monitored using tonometry. Tonometry is a common tool used by clinicians and researchers to measure IOP noninvasively. It provides a good estimate of IOP mean but not variance because data collection takes time. Readings can also be influenced by subject …
Split And Join: An Efficient Approach For Simulating Stapled Intestinal Anastomosis In Virtual Reality, Di Qi, Suvranu De
Split And Join: An Efficient Approach For Simulating Stapled Intestinal Anastomosis In Virtual Reality, Di Qi, Suvranu De
Engineering Faculty Articles and Research
Colorectal cancer is a life-threatening disease. It is the second leading cause of cancer-related deaths in the United States. Stapled anastomosis is a rapid treatment for colorectal cancer and other intestinal diseases and has become an integral part of routine surgical practice. However, to the best of our knowledge, there is no existing work simulating intestinal anastomosis that often involves sophisticated soft tissue manipulations such as cutting and stitching. In this paper, for the first time, we propose a novel split and join approach to simulate a side-to-side stapled intestinal anastomosis in virtual reality. We mimic the intestine model using …
Microfluidic Concurrent Assessment Of Red Blood Cell Adhesion And Microcapillary Occlusion: Potential Hemorheological Biomarkers In Sickle Cell Disease, Yuncheng Man, Douglas H. Wu, Ran An, Karamoja Monchamp, Utku Goreke, Zoe Sekyonda, William J. Wulftange, Chiara Federici, Allison Bode, Lalitha V. Nayak, Umut A. Gurkan
Microfluidic Concurrent Assessment Of Red Blood Cell Adhesion And Microcapillary Occlusion: Potential Hemorheological Biomarkers In Sickle Cell Disease, Yuncheng Man, Douglas H. Wu, Ran An, Karamoja Monchamp, Utku Goreke, Zoe Sekyonda, William J. Wulftange, Chiara Federici, Allison Bode, Lalitha V. Nayak, Umut A. Gurkan
Faculty Scholarship
Deformability and non-adherence are two fundamental functional properties of red blood cells (RBCs), which allow them to move unimpeded through the microvasculature. In sickle cell disease (SCD), polymerization of abnormal sickle hemoglobin leads to decreased deformability and increased membrane adhesiveness in RBCs. This contributes to abnormal blood vessel occlusion, which is central to the underlying pathophysiology. RBC deformability and adhesiveness are, therefore key hemorheological biomarkers in characterizing disease states as well as in evaluating novel therapeutics. To date, these important interrelated biomarkers have been assessed in distinct laboratory assays, without integration or concurrent assessment in vitro. To this end, we …
Deutj: An Imagej Plugin For Improved Automatic Masking And Segmentation Of Images From Confocal Microscopy, Sunny Cui
Independent Student Projects and Publications
Due to advances in microscopic imaging, there are a plethora of biological molecules that can now be tagged and subsequentially imaged from almost any cell, organism, or tissue. However, the ability of software to analyze these images remains to be a challenge. ImageJ is open source software that allows for the processing of these images, but faces challenges when dealing with images that show weak contrast between objects of interest and background. DeutJ is an ImageJ plugin that color corrects and brightness corrects gradients that inhibit segmentation in confocal microscopy images. It can analyze hundreds of images from a given …
Formulation Of Encapsulated Nanoparticles Of Leek Extract As Antimicrobial And Anticancer Agent, Rawan Hassan Mohamed Elghanam
Formulation Of Encapsulated Nanoparticles Of Leek Extract As Antimicrobial And Anticancer Agent, Rawan Hassan Mohamed Elghanam
Theses and Dissertations
Leek extract (LEK) has broad therapeutic activity. However, plant extract use has many drawbacks, which could be resolved using nanocarriers. The purpose of this research work was to prepare chitosan nanoparticles (CS NPs) encapsulating LEK and investigate their antioxidant, antimicrobial, and anticancer activity. Gas chromatography-mass spectroscopy was used to determine the LEK components. The CS-LEK NPs were produced by tripolyphosphate (TPP) crosslinking with chitosan (CS) the ionic gelation methodology. The particle size was 331 nm, zeta potential (ZP) was 28.9 mv, polydispersity index (PDI) was 0.4, encapsulation efficiency (EE) was 65.6%, and loading capacity (LC) was 28.8 % of the …
Session 12: Active Learning To Minimize The Possible Risk From Future Epidemics, Kc Santosh
Session 12: Active Learning To Minimize The Possible Risk From Future Epidemics, Kc Santosh
SDSU Data Science Symposium
In medical imaging informatics, for any future epidemics (e.g., Covid-19), deep learning (DL) models are of no use as they require a large dataset as they take months and even years to collect enough data (with annotations). In such a context, active learning (or human/expert-in-the-loop) is the must, where a machine can learn from the first day with minimum possible labeled data. In unsupervised learning, we propose to build pre-trained DL models that iteratively learn independently over time, where human/expert intervenes only when it makes mistakes and for only a limited data. In our work, deep features are used to …
2d Respiratory Sound Analysis To Detect Lung Abnormalities, Rafia Sharmin Alice, Kc Santosh
2d Respiratory Sound Analysis To Detect Lung Abnormalities, Rafia Sharmin Alice, Kc Santosh
SDSU Data Science Symposium
Abstract. In this paper, we analyze deep visual features from 2D data representation(s) of the respiratory sound to detect evidence of lung abnormalities. The primary motivation behind this is that visual cues are more important in decision-making than raw data (lung sound). Early detection and prompt treatments are essential for any future possible respiratory disorders, and respiratory sound is proven to be one of the biomarkers. In contrast to state-of-the-art approaches, we aim at understanding/analyzing visual features using our Convolutional Neural Networks (CNN) tailored Deep Learning Models, where we consider all possible 2D data such as Spectrogram, Mel-frequency Cepstral Coefficients …
Therapeutic Options For Covid-19: Drug Repurposing Of Serine Protease Inhibitor Against Tmprss2, Mohammad Wildan Abiyyi, Surya Dwira, Arleni Bustami, Linda Erlina
Therapeutic Options For Covid-19: Drug Repurposing Of Serine Protease Inhibitor Against Tmprss2, Mohammad Wildan Abiyyi, Surya Dwira, Arleni Bustami, Linda Erlina
Indonesian Journal of Medical Chemistry and Bioinformatics
The SARS-Coronavirus 2 (SARS-CoV-2) outbreak is a serious global public health threat. Researchers around the world are conducting mass research to control this epidemic, starting from the discovery of vaccines, to new drugs that have specific activities as antivirals. Drug repurposing is a potential method of using drugs with known activity for reuse as COVID-19 therapy. This method has the advantage that it can reduce costs and also the duration in the development of potential drugs. The initial step in drug repurposing can be done computationally to determine the effectiveness and specificity of the drug on the target protein. Molecular …
Virtual Screening On Indonesian Herbal Compounds As Sars-Cov-2 Spike (S2) Glycoprotein Inhibitors: Pharmacophore Modelling & Molecular Docking Approaches, Syailendra Karuna Sugito, Artha Uli Cristina, Putri Saskia Harimurti, Gabriella Regita Cendani, Fauzi Azhar Insani, Linda Erlina, Rafika Indah Paramita, Fadilah Fadilah
Virtual Screening On Indonesian Herbal Compounds As Sars-Cov-2 Spike (S2) Glycoprotein Inhibitors: Pharmacophore Modelling & Molecular Docking Approaches, Syailendra Karuna Sugito, Artha Uli Cristina, Putri Saskia Harimurti, Gabriella Regita Cendani, Fauzi Azhar Insani, Linda Erlina, Rafika Indah Paramita, Fadilah Fadilah
Indonesian Journal of Medical Chemistry and Bioinformatics
Background: There are still no specific treatments for coronavirus disease (COVID-19) until present days. Several studies have been conducted to determine whether herbal medicine can be an option to be used as a definitive medicine for COVID-19. S2 subunit of spike protein which is responsible for SARS-CoV-2 entry to the host cell, is a potential drug target to inhibit the viral infection. In this study, we aimed to find some compounds from the HerbalDB database that have potential as SARS-CoV-2 spike (S2) glycoprotein inhibitor.
Methods: The 6LXT protein was used as the target protein. The procedure in this study consisted …
Process Intensification Strategies For Green Solvent Mediated Biomass Pretreatment, Ahamed Ullah, Yuxuan Zhang, Can Liu, Qi Qiao, Qing Shao, Jian Shi
Process Intensification Strategies For Green Solvent Mediated Biomass Pretreatment, Ahamed Ullah, Yuxuan Zhang, Can Liu, Qi Qiao, Qing Shao, Jian Shi
Markey Cancer Center Faculty Publications
Demonstrated to be highly effective for lignocellulosic biomass pretreatment, deep eutectic solvent (DES) has attracted increasing attention owing to its advantages of simple synthesis, relatively low chemical cost, and better biocompatibility as compared to certain ionic liquids. Here we provide a critical review of the status of the design/selection of DES for the pretreatment of biomass feedstocks with an emphasis on the process intensification strategies: 1) integration of microwave, ultrasound, and high solid extrusion for pretreating biomass, 2) one-pot DES pretreatment, enzymatic hydrolysis, and fermentation, 3) strategies for DES recycling and product recovery; and 4) recent progress on molecular simulations …
Electrochemical Sensors And Biosensors Of Biomarkers And Therapeutic Agents Detection, Mahmoud Abdelhakem
Electrochemical Sensors And Biosensors Of Biomarkers And Therapeutic Agents Detection, Mahmoud Abdelhakem
Theses and Dissertations
Electrochemical sensing is a pioneering tool amongst all other sensing techniques even though it had been started in the early 20th century. Due to their cost efficacy, accuracy, and real-time measurement, electrochemical sensing has been utilized in a vast of biomedical applications in therapeutic drug monitoring and biomarker detection. This thesis work concerned the monitoring of three therapeutic agents in spiked plasma, urine, dosage form, and interstitial skin fluid with high specificity and accuracy. Two of our sensing platforms utilized nanomaterials for sensing (sensors) of Cilostazol and Velpatasvir utilizing α-MnO2-V2O5 (metal oxide nanorods) and NH2- MIL-53 (Aluminum-based metal organic frameworks), …
Management Of Patients Treated With Antithrombotic Drugs In Dentistry: Comparison Of Sfco And Baos Recommendations, Meryem Lahlou, Yousef Naji, Ossama Nabih, Ihsane Ben Yahya
Management Of Patients Treated With Antithrombotic Drugs In Dentistry: Comparison Of Sfco And Baos Recommendations, Meryem Lahlou, Yousef Naji, Ossama Nabih, Ihsane Ben Yahya
Health Sciences
Background Patients on antithrombotic drugs are at risk of thrombosis; when prescribed these medications they develop a risk of haemorrhage. To our knowledge, there is no published global consensus on the management of these patients and only expert panels guidelines exist. Objectives The aims of this study were to (1) compare the clinical guidelines issued by the French Society of Oral Surgery (SFCO) and the clinical guidelines issued by the British Association of Oral Surgery (BAOS), and (2) to summarize the guidelines recommendations. Methods This article is a descriptive comparative review based on published clinical guidelines issued by the French …
Advanced Microstructural Characterization Of Functionally Graded Dental Ceramic Material For Materials-Informed Finishing, Angani Vigneswaran
Advanced Microstructural Characterization Of Functionally Graded Dental Ceramic Material For Materials-Informed Finishing, Angani Vigneswaran
Theses and Dissertations--Manufacturing Systems Engineering
Yttria-stabilized tetragonal zirconia polycrystal (Y-TZP) has gained popularity as the choice of material for dental prosthetics. Ivoclar Vivadent’s IPS e.max ZirCAD Prime dental ceramic incorporates a unique gradient technology that varies the yttria content over the thickness of the material. The top layer is composed of 5Y-TZP which is desired for its optical properties while the bottom layer is composed of a much stronger 3Y-TZP. In between the two layers, 5Y-TZP and 3Y-TZP are mixed to form a transition layer. Varying the amount of yttria allows for more esthetically pleasing translucency in the visible areas of the restoration without compromising …
Artificial Intelligence In Dentistry : Knowledge And Perceptions Of Moroccan Students, Manal Elhijazi, Ihsane Benyahya
Artificial Intelligence In Dentistry : Knowledge And Perceptions Of Moroccan Students, Manal Elhijazi, Ihsane Benyahya
Health Sciences
Introduction: Artificial intelligence (AI) is a revolution in education, research and health. The aim of this study is to assess the views and perceptions of dental students regarding artificial intelligence and its impact on their future professional practice. Methods: A voluntary anonymous e-questionnaire was sent to all 4th and 5th year dental students of the Faculty of Dentistry after receiving a course on artificial intelligence. The questionnaire consisted of sections to assess students' knowledge of artificial intelligence and its possible applications in dentistry as well as ethical considerations. Statistical analysis of the data was carried out using SPSS version 23 …
Prepubertal Periodontitis In Children: For An Adequate Diagnosis And Optimal Care, F.Z. El Mouatarif, S. Chemlali, M. Hamza, J. Kissa, S. El Arabi
Prepubertal Periodontitis In Children: For An Adequate Diagnosis And Optimal Care, F.Z. El Mouatarif, S. Chemlali, M. Hamza, J. Kissa, S. El Arabi
Health Sciences
Prepubertal periodontitis (PP) is a rare and rapid progressive condition found a young cohort of patients that results in destruction of the periodontal support of the primary dentition. Its generalized form, prepubertal periodontitis is often associated with a significant gingival tissue inflammation and fast bone loss with attachment loss leading to the tooth loss. The localized form of PP is characterized by a much more discreet inflammation and slow evolution. It can be associated with a known underlying systemic disease or may occur as part of a recognized syndrome or as an isolated finding. Different treatment modalities can be used …
Biological Parameters And The Histological Response In Rectal Cancer Treated By Neoadjuvant Chemoradiotherapy: A Moroccan Cohort, A. Naim, N. Bouanani, F. Safini, S. Mounaime, Soumaya Rafii, L. Lachker, F. Guessous, M. Khaliss, N. Tawfiq, A. Badou
Biological Parameters And The Histological Response In Rectal Cancer Treated By Neoadjuvant Chemoradiotherapy: A Moroccan Cohort, A. Naim, N. Bouanani, F. Safini, S. Mounaime, Soumaya Rafii, L. Lachker, F. Guessous, M. Khaliss, N. Tawfiq, A. Badou
Health Sciences
Introduction: Multimodal management of rectal cancer, combining neoadjuvant Radio chemotherapy followed by total Mesorectal therapy (TME), has been shown to improve locoregional control. However, the histological response is variable independently of the initial tumor stage. Some recent data suggest the usefulness of the lymphocyte-monocyte ratio (LMR), neutrophil-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR) in predicting the histological response to neoadjuvant therapy. This study aimed to investigate the correlation between the complete histological response (pCR) after neoadjuvant radio chemotherapy and biological parameters (LMR, NLR and PLR) in rectal cancer patients.
PATIENTS AND METHODS: This retrospective study was conducted in three Moroccan …
Cancer Immunotherapy: A Breakthrough In Patient Care, Abdou-Samad Kone, Nour El Imane Issam Salah, Amina Ghouzlani, Abdallah Badou
Cancer Immunotherapy: A Breakthrough In Patient Care, Abdou-Samad Kone, Nour El Imane Issam Salah, Amina Ghouzlani, Abdallah Badou
Health Sciences
Cancer is one of the world's leading causes of death. Conventional therapies, such as surgical resection, radiotherapy, and chemotherapy, have improved patient management and have shown overwhelming progress. However, the incidence and mortality rates among cancer patients are still extremely high, at approximately 20,5 % and 10,6 % for both sexes, respectively. This may be due to the heterogeneity of tumors, their special microenvironment, and the development of resistance to certain conventional therapies. The concept of immunotherapy provided a new perspective on patient treatment. The interaction of tumor cells with their microenvironment depends on different factors and conditions that promote …