Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

Convolutional Neural Network Based Machine Learning For Ameloglyphics: A Forensic Analysis, Sanjana Shetty, Sowmya Sv, Dominic Augustine, Saiprasad Alva, Mukul Saini

Annual Research Symposium

Convolutional Neural Network based Machine Learning for Ameloglyphics: A Forensic Analysis

Sanjana Shetty, Sowmya SV , Dominic Augustine, Saiprasad Alva, Mukul Saini Author Affiliations: Department of Oral & Maxillofacial Pathology and Oral Microbiology, Faculty of Dental Sciences, MS Ramaiah University of Applied Sciences, MSR Nagar, Bengaluru-560054, Karnataka, India.

Purpose:

Tooth prints, considered to be the hard tissue analogues of finger prints have been studied extensively over the years by manual and in some cases, digital methods. While Artificial intelligence and Machine Learning have witnessed a steady rise in their applications in various fields with promising results, its utility in ameloglyphics …

Evaluation Of Novel Therapeutic Agents For The Treatment Of Chronic Dry Eyes, Lilian Huynh, Evonie Villarete, Surajit Dey

Annual Research Symposium

Dry eye disease (DED) is a multifactorial ocular condition, where disrupted tear film stability and ocular surface inflammation affected between 5% to 34% of the worldwide population in 2015 and posed a challenge to conventional ophthalmic treatments. Recent advances have led to potential novel therapeutics aiming to alleviate symptoms and improve patient outcomes.

Early Renal Denervation Attenuates Cardiac Dysfunction In Heart Failure With Preserved Ejection Fraction, Jake E. Doiron, Zhen Li, Xiaoman Yu, Kyle B. Lapenna, Heather Quiriarte, Timothy D. Allerton, Kashyap Koul, Andrew Malek, Sanjiv J. Shah, Thomas E. Sharp, Traci T. Goodchild, Daniel R. Kapusta, David J. Lefer

School of Graduate Studies Faculty Publications

BACKGROUND: The renal sympathetic nervous system modulates systemic blood pressure, cardiac performance, and renal function. Pathological increases in renal sympathetic nerve activity contribute to the pathogenesis of heart failure with preserved ejection fraction (HFpEF). We investigated the effects of renal sympathetic denervation performed at early or late stages of HFpEF progression. METHODS AND RESULTS: Male ZSF1 obese rats were subjected to radiofrequency renal denervation (RF-RDN) or sham procedure at either 8 weeks or 20 weeks of age and assessed for cardiovascular function, exercise capacity, and cardiorenal fibrosis. Renal norepinephrine and renal nerve tyrosine hydroxylase staining were performed to quantify denervation …

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 …

Recent Studies In The Surgical Treatment Of Tetralogy Of Fallot, Emma C. Gardner

Mako: NSU Undergraduate Student Journal

No abstract provided.

Utilizing Primary Human Airway Mucociliary Tissue Cultures To Model Ramifications Of Chronic E-Cigarette Usage., Vincent J Manna, Shannon Dwyer, Vanessa Pizutelli, Salvatore J Caradonna

Rowan-Virtua School of Osteopathic Medicine Departmental Research

Electronic cigarettes are battery powered devices that use a vape-liquid to produce a vapor that is inhaled. A consequence of the rise in e-cigarette usage was the 2019 emergence of a vaping-induced respiratory disease denoted as 'e-cigarette or vaping use-associated lung injury' (EVALI). One of the suspected causes of EVALI is Vitamin E Acetate (VEA), which was found to be a diluent in certain illicit vape-pens, whereas nicotine is commonly diluted in equal parts propylene glycol and vegetable glycerin (PG:VG). The prevalent use of e-cigarettes and the emergence of a novel illness has made understanding how e-cigarette vapors affect our …

Inulin-Based Formulations As An Emerging Therapeutic Strategy For Cancer: A Comprehensive Review, Eswara Naga H K Ghali, Pranav, Subhash Chauhan, Murali M. Yallapu

School of Medicine Publications

Highlights

• Inulin is a naturally occurring prebiotic fiber with therapeutic roles.

• Inulin can act as an excellent carrier for drug delivery in cancer therapy.

• Inulin exhibits an improved therapeutic efficacy in its combination treatments.

• Inulin interventions activate phagocytosis and the TLR4 signaling pathway.

Abstract

Cancer stands as the second leading cause of death in the United States (US). Most chemotherapeutic agents exhibit severe adverse effects that are attributed to exposure of drugs to off-target tissues, posing a significant challenge in cancer therapy management. In recent years, inulin, a naturally occurring prebiotic fiber has gained substantial attention for its potential in …

Nanoparticles For Applications In Specific Diagnostics And Precision Medicine, Naxhije Berisha

Dissertations, Theses, and Capstone Projects

Heterogeneity is common in the expression of cancer and treatment response. Precision medicine enables healthcare providers to tailor medical care to an individual's distinct genetic and environmental makeup. This customization has the potential to result in more efficient treatments while minimizing side effects. We believe that by studying the interface of nanotechnology and cancer medicine we can elucidate innovative solutions that address the challenges of disease heterogeneity. This includes advancements in drug delivery, formulations development, and diagnostic sensing. We highlight three studies that use nanotechnology for applications in precision medicine. In Chapter 2, we highlight design optimization of drug formulations …

Pancreatic Cancer Tumor Microenvironment Is A Major Therapeutic Barrier And Target, Conner Hartupee, Bolni Marius Nagalo, Chiswili Y. Chabu, Mulu Z. Tesfay, Joycelynn Coleman-Barnett, John T. West, Omeed Moaven

School of Medicine Faculty Publications

Pancreatic Ductal Adenocarcinoma (PDAC) is projected to become the 2nd leading cause of cancer-related deaths in the United States. Limitations in early detection and treatment barriers contribute to the lack of substantial success in the treatment of this challenging-to-treat malignancy. Desmoplasia is the hallmark of PDAC microenvironment that creates a physical and immunologic barrier. Stromal support cells and immunomodulatory cells face aberrant signaling by pancreatic cancer cells that shifts the complex balance of proper repair mechanisms into a state of dysregulation. The product of this dysregulation is the desmoplastic environment that encases the malignant cells leading to a dense, hypoxic …

Device-Assisted Enteroscopy In The Surveillance Of Intestinal Hamartomas In Peutz-Jeghers Syndrome, Omar Wahid Mohamed Elfeky, Suraj Panjwani, David Cave, Daniel Wild, Daniel Raines

School of Medicine Faculty Publications

Background: PJS is an autosomal dominant, genetic disorder characterized by the formation of hamartomatous polyps in the gastrointestinal tract. These polyps result in significant morbidity due to adverse events including intestinal obstruction, bleeding, and malignancy. The aim of this study was to describe the role of DAE in monitoring and prophylactic polypectomy within the small bowel. Methods: Electronic medical records were surveyed to identify all DAE procedures performed in patients with PJS within three U.S. referral centers between Jan 1st 2007 and January 1st 2020. Individual charts were reviewed to collect and analyze specific data points. Primary end points included …

Promises And Risks Of Applying Ai Medical Imaging To Early Detection Of Cancers, And Regulation For Ai Medical Imaging, Yiyao Zhang

The Journal of Purdue Undergraduate Research

No abstract provided.

A Desirable Advancement But Not Without Concern For Black Blood Sequences: Vessel Wall Imaging May Not Be Blindly Done, Subhendra N. Sarkar

Publications and Research

Time of flight (TOF) gradient echo magnetic resonance angiography (MRA) is a bright lumen method that is supposed to be simpler but is not free of challenges. Post-treatment, tricky geometry, Gd build up and high fields pose challenges and practice variation making some special applications of even the well-developed bright blood method questionable in treated AVMs as discussed in a prior editorial (Sarkar Eur Rad, 2023). In this editorial another, perhaps more important (pseudo-steady state for black blood angiography) is discussed. It has been agreed upon that assessment of vessel wall integrity, particularly plaques and other arterial wall diseases is …

Rates Of Reoperation In Duane Retraction Syndrome, Han Woong Lim, Bryce Hwang, Cyril Archambault, Scott Lambert

Wills Eye Hospital Papers

PURPOSE: To investigate the types of strabismus surgeries performed and the reoperation rate in patients with Duane retraction syndrome (DRS).

DESIGN: Retrospective cohort analysis.

PARTICIPANTS: An insurance claims data set was used to identify patients diagnosed with DRS between 2007 and 2021.

METHODS: We recorded the type of strabismus surgery performed and the timing and frequency of reoperations. The hazard ratios (HRs) for reoperation were estimated according to the surgical methods using Cox regression analysis.

RESULTS: Of the 9435 patients diagnosed with DRS, 1023 (10.8%) underwent ≥ 1 strabismus operation. The median age at surgery was 5.0 years, and patients …

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 …

Cd133-Dependent Activation Of Phosphoinositide 3-Kinase /Akt/Mammalian Target Of Rapamycin Signaling In Melanoma Progression And Drug Resistance, Naji Kharouf, Thomas W. Flanagan, Abdulhadi A. Alamodi, Youssef Al Hmada, Sofie Yasmin Hassan, Hosam Shalaby, Simeon Santourlidis, Sarah Lilly Hassan, Youssef Haikel, Mossad Megahed, Robert T. Brodell, Mohamed Hassan

School of Medicine Faculty Publications

Melanoma frequently harbors genetic alterations in key molecules leading to the aberrant activation of PI3K and its downstream pathways. Although the role of PI3K/AKT/mTOR in melanoma progression and drug resistance is well documented, targeting the PI3K/AKT/mTOR pathway showed less efficiency in clinical trials than might have been expected, since the suppression of the PI3K/mTOR signaling pathway-induced feedback loops is mostly associated with the activation of compensatory pathways such as MAPK/MEK/ERK. Consequently, the development of intrinsic and acquired resistance can occur. As a solid tumor, melanoma is notorious for its heterogeneity. This can be expressed in the form of genetically divergent …

Antimicrobial And Synergistic Effects Of Syzygium Cumini, Moringa Oleifera, And Tinospora Cordifolia Against Different Candida Infections, Adedayo O. Adelakun, Ayoola Awosika, Uzochukwu Adabanya, Adekunle E. Omole, Akinyode I. Olopoda, Emmanuel T. Bello

School of Medicine Faculty Publications

Introduction The burden of multiple drug resistance in human pathogens has necessitated the search for and development of antimicrobial agents with a wide range of structural classes and potentials to selectively act on the several mechanisms of actions exhibited by the pathogens. However, most synthetic antimicrobial agents have been linked with adverse side effects and high costs, furthering the need to explore more options. Syzygium cumini, Moringa oleifera, and Tinospora cordifolia are three medicinal plants used in traditional medicine systems for various infectious diseases. They contain various phytochemicals that exhibit antimicrobial activities against various bacteria, fungi, and parasites. The mechanisms …

Mechanisms Of Melanoma Progression And Treatment Resistance: Role Of Cancer Stem-Like Cells, Youssef Al Hmada, Robert T. Brodell, Naji Kharouf, Thomas W. Flanagan, Abdulhadi A. Alamodi, Sofie Yasmin Hassan, Hosam Shalaby, Sarah Lilly Hassan, Youssef Haikel, Mosaad Megahed, Simeon Santourlidis, Mohamed Hassan

School of Medicine Faculty Publications

Melanoma is the third most common type of skin cancer, characterized by its heterogeneity and propensity to metastasize to distant organs. Melanoma is a heterogeneous tumor, composed of genetically divergent subpopulations, including a small fraction of melanoma-initiating cancer stem-like cells (CSCs) and many non-cancer stem cells (non-CSCs). CSCs are characterized by their unique surface proteins associated with aberrant signaling pathways with a causal or consequential relationship with tumor progression, drug resistance, and recurrence. Melanomas also harbor significant alterations in functional genes (BRAF, CDKN2A, NRAS, TP53, and NF1). Of these, the most common are the BRAF and NRAS oncogenes, with 50% …

Microsphere Core Technology Boosts Innovation Of Biopharmaceutical Industry Chain, Jie Wu, Weiqing Zhou, Lan Zhao, Guanghui Ma

Bulletin of Chinese Academy of Sciences (Chinese Version)

Advancements in life science and biotechnology have boosted the evolution of the biopharmaceutical industry with the continual emergence of biomedical products for disease prevention, diagnosis, and treatment. Microspheres, as crucial functional materials, play a significant role in the discovery, preparation, separation, and delivery of biological drugs due to their flexible size, morphology, structure, and function. This study reviews recent significant advancements in microspheres and their applications in cell culture, chromatographic separation, drug delivery, and as vaccine adjuvants. Additionally, it proposes future trends for the development of microspheres.

Ai-Enhanced Detection Of Clinically Relevant Structural And Functional Anomalies In Mri: Traversing The Landscape Of Conventional To Explainable Approaches, Pegah Khosravi, Saber Mohammadi, Fatemeh Zahiri, Masoud Khodarahmi, Javad Zahiri

Publications and Research

Anomaly detection in medical imaging, particularly within the realm of magnetic resonance imaging (MRI), stands as a vital area of research with far-reaching implications across various medical fields. This review meticulously examines the integration of artificial intelligence (AI) in anomaly detection for MR images, spotlighting its transformative impact on medical diagnostics. We delve into the forefront of AI applications in MRI, exploring advanced machine learning (ML) and deep learning (DL) methodologies that are pivotal in enhancing the precision of diagnostic processes. The review provides a detailed analysis of preprocessing, feature extraction, classification, and segmentation techniques, alongside a comprehensive evaluation of …

Ai-Enhanced Detection Of Clinically Relevant Structural And Functional Anomalies In Mri: Traversing The Landscape Of Conventional To Explainable Approaches, Pegah Khosravi, Saber Mohammadi, Fatemeh Zahiri, Masoud Khodarahmi, Javad Zahiri

Publications and Research

Anomaly detection in medical imaging, particularly within the realm of magnetic resonance imaging (MRI), stands as a vital area of research with far-reaching implications across various medical fields. This review meticulously examines the integration of artificial intelligence (AI) in anomaly detection for MR images, spotlighting its transformative impact on medical diagnostics. We delve into the forefront of AI applications in MRI, exploring advanced machine learning (ML) and deep learning (DL) methodologies that are pivotal in enhancing the precision of diagnostic processes. The review provides a detailed analysis of preprocessing, feature extraction, classification, and segmentation techniques, alongside a comprehensive evaluation of …