Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Engineering (3)
- Physical Sciences and Mathematics (3)
- Nuclear Engineering (2)
- Public Health (2)
- Social and Behavioral Sciences (2)
-
- Analytical, Diagnostic and Therapeutic Techniques and Equipment (1)
- Artificial Intelligence and Robotics (1)
- Arts and Humanities (1)
- Business (1)
- Chemistry (1)
- Clinical Epidemiology (1)
- Clinical Trials (1)
- Communication (1)
- Computer Sciences (1)
- Defense and Security Studies (1)
- Digital Humanities (1)
- Education (1)
- Engineering Education (1)
- Human Resources Management (1)
- Industrial Engineering (1)
- International Relations (1)
- Investigative Techniques (1)
- Law (1)
- Medical Anatomy (1)
- Medical Education (1)
- Medicine and Health (1)
- Mental and Social Health (1)
- Keyword
-
- Communication (2)
- Artificial Intelligence (1)
- Bridge (1)
- Clinical Supply (1)
- Clinical Trials (1)
-
- Cybersecurity (1)
- Drug Development (1)
- Episode (1)
- Machine Learning (1)
- Medical Physics (1)
- Medical physics (1)
- Medicine (1)
- Neuroscience (1)
- Nuclear Engineering (1)
- Nuclear security (1)
- Optimization (1)
- Pharmaceutical (1)
- Pharmaceutical Science (1)
- Podcast (1)
- Public engagement (1)
- Radiotherapy (1)
- Supply Chain (1)
- Synapse (1)
- Terrorism (1)
- Publication
- Publication Type
Articles 1 - 8 of 8
Full-Text Articles in Other Medical Sciences
A Machine Learning Approach For Predicting Clinical Trial Patient Enrollment In Drug Development Portfolio Demand Planning, Ahmed Shoieb
A Machine Learning Approach For Predicting Clinical Trial Patient Enrollment In Drug Development Portfolio Demand Planning, Ahmed Shoieb
Masters Theses
One of the biggest challenges the clinical research industry currently faces is the accurate forecasting of patient enrollment (namely if and when a clinical trial will achieve full enrollment), as the stochastic behavior of enrollment can significantly contribute to delays in the development of new drugs, increases in duration and costs of clinical trials, and the over- or under- estimation of clinical supply. This study proposes a Machine Learning model using a Fully Convolutional Network (FCN) that is trained on a dataset of 100,000 patient enrollment data points including patient age, patient gender, patient disease, investigational product, study phase, blinded …
Development Of A Low-Dose Radiation Therapy Device For Acute Respritory Distress Syndrome, Thomas Heath Davis
Development Of A Low-Dose Radiation Therapy Device For Acute Respritory Distress Syndrome, Thomas Heath Davis
Masters Theses
This research focuses on the development of a low dose radiotherapy (LD-RT) device for treatment of acute respiratory distress syndrome (ARDS), a respiratory illness that affects millions of people a year. The use of orthovoltage (200 – 500 keV) X-ray energy provides many advantages over traditional radiotherapy delivery with linear accelerators, such as low cost and greater accessibility. In addition, X-ray tubes have been shown throughout history to provide good treatment outcomes for pneumonia, and research has shown LD-RT to be just as effective with ARDS. This proposal summarizes my efforts in determining the dosimetric properties of a LD-RT system …
Bridging The Synapse: Seeing The World Through A Neuroscience Lens, Madeline Macarthur
Bridging The Synapse: Seeing The World Through A Neuroscience Lens, Madeline Macarthur
Chancellor’s Honors Program Projects
No abstract provided.
The Future Of Nuclear Security: A Medical Physicist’S Perspective, Katharine E. Thomson
The Future Of Nuclear Security: A Medical Physicist’S Perspective, Katharine E. Thomson
International Journal of Nuclear Security
Planning for the future of nuclear security is a vital and complex task, requiring cooperation and contribution from many disciplines and industries. This diversity of expertise should include the medical sector, which faces many of the same challenges as the nuclear industry: controlling access to dangerous material, creating a strong security culture, cooperating with the wider world and engaging the public.
Medical physicists, of which the author is one, oversee all aspects of small-scale radiation use. This paper discusses three key areas increasingly important to both medical and nuclear uses of radioactive materials: public engagement, prevention of nuclear and radiological …
Analysis Of Aneuploidy During Mouse Spermatogenesis, April D. Pyle
Analysis Of Aneuploidy During Mouse Spermatogenesis, April D. Pyle
Doctoral Dissertations
Successful transition through meiosis is required for production of chromosomally-balanced gametes. When chromosome segregation goes awry during meiosis, aneuploidy can occur. Unfortunately, the mechanisms behind this nondisjunction are not well understood. Therefore, this dissertation has focused on learning more about the causative factors associated with aneuploidy during spermatogenesis. Are there factors that are always associated with leading to production of aneuploid sperm? One of the main goals of this dissertation is to find mouse models to study what factors may be involved in chromosome malsegregation; such as pairing, recombination, and transition through the division phases of meiosis.
The first part …
Aquaporins And Aquaglyceroporins Of Legume Nodules: Structure, Function, And Regulation, James F. Guenther
Aquaporins And Aquaglyceroporins Of Legume Nodules: Structure, Function, And Regulation, James F. Guenther
Doctoral Dissertations
By isolating RNA from mature nodules of the legume Lotus japonicas and employing an RT-PCR approach, two new cDNAs were characterized whose open reading frames code for members of the MIP (Major Intrinsic Protein) family of membrane proteins. These two genes products were termed (Lotus Intrinsic Membrane Protein 1 and 2) LIMP1 and LIMP2. Both LIMP1 and LIMP2 display all the hallmarks of the MIP protein family including, six putative transmembrane domains based on hydropathy plots, and the invariant NPA (asparagine-proline-alanine) signature motifs located symmetrically on two loops, which connect transmembrane helix 3-4 and transmembrane helix 5-6. Based on sequence …
Bordetella Bronchiseptica: A Candidate Mucosal Vaccine Vector, Sreekumari Rajeev
Bordetella Bronchiseptica: A Candidate Mucosal Vaccine Vector, Sreekumari Rajeev
Doctoral Dissertations
Bordetella bronchiseptica colonizes the upper respiratory tract of a wide variety of mammals and is involved in diseases such as kennel cough in dogs, atrophic rhinitis in pigs and upper respiratory tract infections of laboratory animals. Studies were focused on developing a heterologous antigen expression system in B. bronchiseptica and to evaluate the potential of this organism as a candidate mucosal vaccine vector. Since the role of Bordetella bronchiseptica and Pasteurella multocida toxin (PMT) in the disease atrophic rhinitis of pigs was well documented, this research was focused in the possibility of developing a refined vaccine to control this disease. …
Some Reactions Of Phenothiazine And Certain Benzophenothiazines, John Charles Gilmer
Some Reactions Of Phenothiazine And Certain Benzophenothiazines, John Charles Gilmer
Doctoral Dissertations
Summary
The consideration of the medical importance of phenothiazine derivatives and the known cancer chemotherapeutic value of the nitrogen mustards made the synthesis of some nitrogen mustard derivatives of the phenothiazines of particular interest. In the course of this research the N-{2-[bis-(2-chloroethyl)amino]ethyl} derivatives of phenothiazine, 7H-benzo[c]phenothiazine, 7H-dibenzo[c, h] phenothiazine, and 14H-dibenzo[a, h] phenothiazine were synthesized for anticancer evaluation. Also submitted to the Cancer Chemotherapy National Service Center for testing were the N-(2-chloroethyl) monofunctional nitrogen mustard derivatives of the first three phenothiazines mentioned above.