1 citations · 1 across the 7 of their papers we have counts for
8 papers
Enhanced knowledge retention through MedScrab: an interactive mobile game
Don Roosan, Tiffany Khao, Huong Phan +1
Noncompliance with medication regimens poses an immense challenge in the management of chronic diseases, often resulting in exacerbated health complications and recurrent hospital…
Quantum Approximate Optimization Algorithm for Spatiotemporal Forecasting of HIV Clusters
Don Roosan, Saif Nirzhor, Rubayat Khan +2
HIV epidemiological data is increasingly complex, requiring advanced computation for accurate cluster detection and forecasting. We employed quantum-accelerated machine learning to…
Classifying Hotspots Mutations for Biosimulation with Quantum Neural Networks and Variational Quantum Eigensolver
Don Roosan, Rubayat Khan, Saif Nirzhor +2
The rapid expansion of biomolecular datasets presents significant challenges for computational biology. Quantum computing emerges as a promising solution to address these complexit…
Quantum Variational Transformer Model for Enhanced Cancer Classification
Don Roosan, Rubayat Khan, Md Rahatul Ashakin +3
Accurate prediction of cancer type and primary tumor site is critical for effective diagnosis, personalized treatment, and improved outcomes. Traditional models struggle with the c…
Bridging Classical Molecular Dynamics and Quantum Foundations for Comprehensive Protein Structural Analysis
Don Roosan, Rubayat Khan, Tiffany Khou +3
The objective of this paper is to investigate the structural stability, dynamic properties, and potential interactions among Amyloid Precursor Protein (APP), Tau, and Alpha-synucle…
Quantum Gradient Optimized Drug Repurposing Prototype for Omics Data
Don Roosan, Saif Nirzhor, Rubayat Khan +1
This paper presents a novel quantum-enhanced prototype for drug repurposing and addresses the challenge of managing massive genomics data in precision medicine.
Harnessing Diet and Gene Expression Insights through a Centralized Nutrigenomics Database to Improve Public Health
Fahmida Hai, Shriya Samudrala, Ijeoma Ezengwa +3
Nutrigenomics is an emerging field that explores the intricate interaction between genes and diet. This study aimed to develop a comprehensive database to help clinicians and patie…
Enhancing Biosecurity in Tamper-Resistant Large Language Models With Quantum Gradient Descent
Fahmida Hai, Saif Nirzhor, Rubayat Khan +1
This paper introduces a tamper-resistant framework for large language models (LLMs) in medical applications, utilizing quantum gradient descent (QGD) to detect malicious parameter…