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 …

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 …

Artificial Intelligence Is Revolutionizing Controlled Substance Diversion Detection, Brian Cox, Alberto Coustasse, Craig Kimble

Management Faculty Research

In community and institutional health care sectors, artificial intelligence (AI) use is expanding. AI is being tapped broadly in operations, customer service, and scheduling, with major pharmacy chains such as Kroger, CVS, and Walgreens, already starting to implement AI applications in their pharmacies. So far, Kroger has begun to use AI for employee onboarding and training processes, CVS is applying AI in negotiations with suppliers, and Walgreens is using it to streamline vaccine scheduling. With these advances in major pharmacy chains, the next extensive application for AI has become clearer: diversion monitoring. Diversion occurs in health care settings when a …

Innovative Computational Methods For Pharmaceutical Problem Solving A Review Part I: The Drug Development Process, Heather R. Campbell, Robert A. Lodder

Pharmaceutical Sciences Faculty Publications

Computational methods have provided pharmaceutical scientists and engineers a means to go beyond what's possible with experimental testing alone. Providing a means to study active pharmaceutical ingredients (API), excipients, and drug interactions at or near-atomic levels. This paper provides a review of this and other innovative computational methods used for solving pharmaceutical problems throughout the drug development process. Part one of two this paper will emphasize the role of computational methods and game theory in solving pharmaceutical challenges.

An Artificial Intelligence-Based, Personalized Smartphone App To Improve Childhood Immunization Coverage And Timelines Among Children In Pakistan: Protocol For A Randomized Controlled Trial, Abdul Momin Kazi, Saad Ahmed Qazi, Sadori Khawaja, Nazia Ahsan, Rao Moueed Ahmed, Muhammad Ayub Khan Mughal, Hussain Kalimuddin, Yasir Rauf, Mehreen Raza, Saima Jamal

Department of Paediatrics and Child Health

Background: The immunization uptake rates in Pakistan are much lower than desired. Major reasons include lack of awareness, parental forgetfulness regarding schedules, and misinformation regarding vaccines. In light of the COVID-19 pandemic and distancing measures, routine childhood immunization (RCI) coverage has been adversely affected, as caregivers avoid tertiary care hospitals or primary health centers. Innovative and cost-effective measures must be taken to understand and deal with the issue of low immunization rates. However, only a few smartphone-based interventions have been carried out in low- and middle-income countries (LMICs) to improve RCI.
Objective: The primary objectives of this study are to …

Artificial Intelligence–Powered Smartphone App To Facilitate Medication Adherence: Protocol For A Human Factors Design Study, Don Roosan, Jay Chok, Mazharul Karim, Anandi V. Law, Andrius Baskys, Angela Hwang, Moom Roosan

Pharmacy Faculty Articles and Research

Background: Medication Guides consisting of crucial interactions and side effects are extensive and complex. Due to the exhaustive information, patients do not retain the necessary medication information, which can result in hospitalizations and medication nonadherence. A gap exists in understanding patients’ cognition of managing complex medication information. However, advancements in technology and artificial intelligence (AI) allow us to understand patient cognitive processes to design an app to better provide important medication information to patients.

Objective: Our objective is to improve the design of an innovative AI- and human factor–based interface that supports patients’ medication information comprehension that could potentially …