Medicine and Health Sciences Commons^™

“The Role Of Artificial Intelligence In The Pharmaceutical Field: Enhancing Therapeutic Outcomes And Repurposing Through The Acceleration Of Drug Discovery”, Tonivie Valeriano

Belmont University Research Symposium (BURS)

The development of new drugs and their repurposing have considerably benefited the field of pharmacy. It will not only affect the pharmaceutical sector but also its diverse facets of health will be significantly influenced. Yet, the development of innovative medical treatments necessitated a lengthy period of expectancy for human survival. Individual survival rates were decreasing over time before the development of the treatment. Humanity has a limited lifespan. Moreover, investments in new drugs often go unnoticed because of the prolonged and complex process of drug research and development (R&D). In the future of pharmacy, artificial intelligence will continue to have …

Para-Methoxybenzylidene Acetal-Protected D-Glucosamine Derivatives As Ph-Responsive Gelators And Their Applications For Drug Delivery, Jonathan Bietsch, Logan Baker, Anna Duffney, Alice Mao, Mary Foutz, Cheandri Ackermann, Guijun Wang

Chemistry & Biochemistry Faculty Publications

Carbohydrate-based low molecular weight gelators (LMWGs) are compounds with the capability to self-assemble into complex molecular networks within a solvent, leading to solvent immobilization. This process of gel formation depends on noncovalent interactions, including Van der Waals, hydrogen bonding, and π–π stacking. Due to their potential applications in environmental remediation, drug delivery, and tissue engineering, these molecules have emerged as an important area of research. In particular, various 4,6-O-benzylidene acetal-protected D-glucosamine derivatives have shown promising gelation abilities. In this study, a series of C-2-carbamate derivatives containing a para-methoxy benzylidene acetal functional group were synthesized and characterized. These compounds exhibited good …

Data Driven Classification Of Opioid Patients Using Machine Learning - An Investigation, Saddam Al Amin, Md Saddam Hossain Mukta, Md Sezan Mahmud Saikat, Md Ismail Hossain, Md Adnanul Islam, Mohiuddin Ahmed, Sami Azam

Research outputs 2022 to 2026

The opioid crisis has led to an increased number of drug overdoses in recent years. Several approaches have been established to predict opioid prescription by health practitioners. However, due to the complex nature of the problem, the accuracy of such methods is not yet satisfactory. Dependable and reliable classification of opioid dependent patients from well-grounded data sources is essential. Majority of the previous studies do not focus on the users’ mental health association for opioid intake classification. These studies do not also employ the latest deep learning based techniques such as attention and knowledge distillation mechanism to find better insights. …

A Machine Learning Model Of Response To Hypomethylating Agents In Myelodysplastic Syndromes, Nathan Radakovich, David A. Sallman, Rena Buckstein, Andrew Brunner, Amy Dezern, Sudipto Mukerjee, Rami Komrokji, Najla Al-Ali, Jacob Shreve, Yazan Rouphail, Anne Parmentier, Alexandre Mamedov, Mohammed Siddiqui, Yihong Guan, Teodora Kuzmanovic, Metis Hasipek, Babal Jha, Jaroslaw P. Maciejewski, Mikkael A. Sekeres, Aziz Nazha

Department of Medical Oncology Faculty Papers

Hypomethylating agents (HMA) prolong survival and improve cytopenias in individuals with higher-risk myelodysplastic syndrome (MDS). Only 30-40% of patients, however, respond to HMAs, and responses may not occur for more than 6 months after HMA initiation. We developed a model to more rapidly assess HMA response by analyzing early changes in patients’ blood counts. Three institutions’ data were used to develop a model that assessed patients’ response to therapy 90 days after the initiation using serial blood counts. The model was developed with a training cohort of 424 patients from2 institutions and validated on an independent cohort of 90 patients. …

Developing An Alcohol And Other Drug Serious Game For Adolescents: Considerations For Improving Student Engagement, Joanna Nicholas, Brennen Mills, Sara Hansen, Stephen J. Bright, Heather Boyd, Luke Brook, Jess Watson, Luke Hopper

Research outputs 2022 to 2026

Objectives: To explore perceptions of alcohol and other drug (AOD) education and digital game design preferences among Australian adolescents with the goal of identifying key factors to promote engagement in an AOD serious game for Australian secondary school students. Methods: Semi-structured focus groups were conducted with 36 adolescents aged between 13 and 18 years. Qualitative data was analysed using thematic analysis. Results: Participants described heightened engagement with AOD education that incorporated relatable and relevant real-life stories and interactive discussions. They also expressed a desire for learning to focus on practical strategies to reduce AOD harm and overcome social pressure to …

State Trends Of Cannabis Liberalization As A Causal Driver Of Increasing Testicular Cancer Rates Across The Usa, Albert Stuart Reece, Gary Kenneth Hulse

Research outputs 2022 to 2026

Background:

The cause of the worldwide doubling-tripling of testicular cancer rates (TCRs) in recent decades is unknown. Previous cohort studies associated cannabis use with TCR including dose–response relationships but the contribution of cannabis to TCRs at the population level is unknown. This relationship was tested by analyzing annual trends across US states and formally assessed causality. Four US datasets were linked at state level: age-adjusted TCRs from Centers for Disease Control Surveillance Epidemiology and End Results database; drug use data from annual National Survey of Drug Use and Health including 74.1 % response rate; ethnicity and median household income data …

Activity Of Newest Generation Β-Lactam/Β-Lactamase Inhibitor Combination Therapies Against Multidrug Resistant Pseudomonas Aeruginosa, Robbie R. Haines, Papanin Putsathit, Katherine A. Hammer, Anna S. Tai

Research outputs 2022 to 2026

Multidrug resistant (MDR) P. aeruginosa accounts for 35 % of all P. aeruginosa isolated from respiratory samples of patients with cystic fibrosis (CF). The usefulness of β-lactam antibiotics for treating CF, such as carbapenems and later generation cephalosporins, is limited by the development of antibacterial resistance. A proven treatment approach is the combination of a β-lactam antibiotic with a β-lactamase inhibitor. New β-lactam/β-lactamase inhibitor combinations are available, but data are lacking regarding the susceptibility of MDR CF-associated P. aeruginosa (CFPA) to these new combination therapies. In this study we determined MIC values for three new combinations; imipenem-relebactam (I-R), ceftazidime-avibactam (CZA), …

Drug Addiction & Mental Health, Tyler Burkholder

English Department: Research for Change - Wicked Problems in Our World

Drugs have a serious effect on our mental health, and mental health has a major effect on drug abuse and addiction. There is a reason so many drug users usually need to keep going back to rehab. It is because drugs affect mental health to a point where you aren’t the same person during and even after drug addiction. Poor mental health also can be a major cause influencing people to start doing drugs. People with depression, anxiety disorders, mood disorders are more prone to drug use. That is why we need to make it a public policy to screen …

Preparing For Shortages Of Future Covid-19 Drugs: A Data-Based Model For Optimal Allocation, Charlie L. Sy, Kathleen Aviso, Christina D. Cayamanda, Anthony F. Chiu, Rochelle Irene Lucas, Michael Angelo Promentilla, Luis F. Razon, Raymond R. Tan, John Frederick Tapia, Ador Torneo, Aristotle T. Ubando, Derrick Ethelbhert C. Yu

Angelo King Institute for Economic and Business Studies (AKI)

Drugs for the treatment of Covid-19 are currently beign tested, and those that are apporved for use are likely to be in short supply due to the global scale of the pandemic. This policy brief proposes a model for optimally allocating future Covid-19 drugs to patients to minimize deaths under conditions of resource scarcity. A linear programming model is developed that estimates the potential number of deaths that may result from Covid-19 under two scenarios: with antivirals and without antivirals. It takes into account patient risk level, the severity of their symptoms, resource availability in hospitals (i.e. hospital beds, critical …

Regulatory Malfunctions In The Drug Patent Ecosystem, Ana Santos Rutschman

All Faculty Scholarship

Patent protection for several of the world’s best-selling and most promising drugs — biologics — has begun waning. Over the next few years, many other drugs in this category will lose critical patent protection. In principle, this should open the United States market to competition, as more manufacturers are now able to produce relatively cheaper versions of these expensive drugs, known as biosimilars. That, however, has not been the case. This Article examines this problem in the context of the articulation between anticompetitive behaviors and regulatory interventions in the biopharmaceutical arena, and argues for a novel solution: a timelier response …

Better Living Through Chemistry: Addressing Emerging Antibiotic Resistance, Nathan P. Coussens, Ashley L. Molinaro, Kayla J. Culbertson, Tyler Peryea, Gergely Zahoránszky-Köhalmi, Matthew D. Hall, Dayle A. Daines

Biological Sciences Faculty Publications

The increasing emergence of multidrug-resistant bacteria is recognized as a major threat to human health worldwide. While the use of small molecule antibiotics has enabled many modern medical advances, it has also facilitated the development of resistant organisms. This minireview provides an overview of current small molecule drugs approved by the US Food and Drug Administration (FDA) for use in humans, the unintended consequences of antibiotic use, and the mechanisms that underlie the development of drug resistance. Promising new approaches and strategies to counter antibiotic-resistant bacteria with small molecules are highlighted. However, continued public investment in this area is critical …

Less Drugs But Lots Of Drug News To Open 2016, Rodney Richmond

College of Pharmacy Faculty Research ​and Publications

No abstract provided.

Making Do In Making Drugs: Innovation Policy And Pharmaceutical Manufacturing, W. Nicholson Price Ii

Law Faculty Scholarship

Despite increasing recalls, contamination events, and shortages, drug companies continue to rely on outdated manufacturing plants and processes. Drug manufacturing’s inefficiency and lack of innovation stand in stark contrast to drug discovery, which is the focus of a calibrated innovation policy that combines patents and FDA regulation. Pharmaceutical manufacturing lags far behind the innovative techniques found in other industries due to high regulatory barriers and ineffective intellectual property incentives. Among other challenges, although manufacturers tend to rely on trade secrecy because of the difficulty in enforcing patents on manufacturing processes, trade secrecy provides limited incentives for innovation. To increase those …

Single Step Synthesis Of Antibiotic Kanamycin Embedded Gold Nanoparticles For Efficient Antibacterial Activity, Shravan Gavva

Masters Theses & Specialist Projects

Nanotechnology has become the most advanced type of drug delivery system within the last decade. This advancement shifted the focus on small carriers to increase the efficiency of the drugs. Among these, gold nanoparticles (GNPs) were found to have profound biomedical applications. In current research, kanamycin embedded GNPs were prepared in a single step, single phase, and bio-friendly (green synthesis) procedure. The synthesized Kanamycin-GNPs (Kan-GNPs) were spherical in shape and had a size range of 15 ± 3 nm. The chosen kanamycin is an aminoglycosidic antibiotic that is isolated from Streptomyces kanamyceticus. These special antibiotic GNPs are further characterized using …

Successful Desensitization To Docetaxel After Severe Hypersensitivity Reactions In Two Patients, David J. Reeves, Michael J. Callahan, Gregory P. Sutton

Scholarship and Professional Work – COPHS

Purpose Two cases of successful desensitization to docetaxel after severe hypersensitivity reactions are reported.

Summary Two patients with gynecological malignancies (uterine leiomyosarcoma and ovarian adenocarcinoma) experienced severe hypersensitivity reactions with docetaxel, including flushing, numbness, sharp radiating pain, severe nausea and vomiting, apnea, and unresponsiveness. Both patients received ondansetron before docetaxel. One patient received dexamethasone, diphenhydramine, and famotidine premedication before docetaxel, as she had previously reacted to paclitaxel. Docetaxel infusions were stopped, and the reactions were treated with diphenhydramine and dexamethasone (one patient also received famotidine). After resolution of symptoms, the docetaxel was not reinitiated due to the nature of the …