The state of quantum computing applications in health and medicine
FF Flöther - Research Directions: Quantum Technologies, 2023 - cambridge.org
Medicine, including fields in healthcare and life sciences, has seen a flurry of quantum-
related activities and experiments in the last few years (although biology and quantum …
related activities and experiments in the last few years (although biology and quantum …
On the analyses of medical images using traditional machine learning techniques and convolutional neural networks
Convolutional neural network (CNN) has shown dissuasive accomplishment on different
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
Quantum computing in the next-generation computational biology landscape: From protein folding to molecular dynamics
Modern biological science is trying to solve the fundamental complex problems of molecular
biology, which include protein folding, drug discovery, simulation of macromolecular …
biology, which include protein folding, drug discovery, simulation of macromolecular …
[HTML][HTML] Revolutionizing healthcare: the emerging role of quantum computing in enhancing medical technology and treatment
N Jeyaraman, M Jeyaraman, S Yadav… - Cureus, 2024 - pmc.ncbi.nlm.nih.gov
The healthcare sector faces complex challenges that call for innovative solutions to improve
diagnostic accuracy, treatment efficacy, and data management. Quantum computing, with its …
diagnostic accuracy, treatment efficacy, and data management. Quantum computing, with its …
Hybrid QUS radiomics: a multimodal-integrated quantitative ultrasound radiomics for assessing ambulatory function in duchenne muscular dystrophy
D Yan, Q Li, CW Lin, JY Shieh… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Background: Duchenne muscular dystrophy (DMD) is a neuromuscular disorder that affects
ambulatory function. Quantitative ultrasound (QUS) imaging, utilizing envelope statistics, has …
ambulatory function. Quantitative ultrasound (QUS) imaging, utilizing envelope statistics, has …
Quantum algorithm for bioinformatics to compute the similarity between proteins
A Chagneau, Y Massaoudi, I Derbali… - IET Quantum …, 2024 - Wiley Online Library
Drug discovery has become a main challenge in the society, following the COVID‐19
pandemic. However, pharmaceutical companies are already using computing to accelerate …
pandemic. However, pharmaceutical companies are already using computing to accelerate …
New classifications for quantum bioinformatics: Q-bioinformatics, QCt-bioinformatics, QCg-bioinformatics, and QCr-bioinformatics
Bioinformatics has revolutionized biology and medicine by using computational methods to
analyze and interpret biological data. Quantum mechanics has recently emerged as a …
analyze and interpret biological data. Quantum mechanics has recently emerged as a …
A new quantum-enhanced approach to AI-driven medical imaging system
Abstract Medical Imaging Systems (MIS) play a crucial role in modern medicine by providing
accurate diagnostic and treatment capabilities. These systems use various physical …
accurate diagnostic and treatment capabilities. These systems use various physical …
[HTML][HTML] Deep learning-based approach to diagnose lung cancer using CT-scan images
MQ Shatnawi, Q Abuein, R Al-Quraan - Intelligence-Based Medicine, 2025 - Elsevier
The work in this research focuses on the automatic classification and prediction of lung
cancer using computed tomography (CT) scans, employing Deep Learning (DL) strategies …
cancer using computed tomography (CT) scans, employing Deep Learning (DL) strategies …
How quantum computing can enhance biomarker discovery for multi-factorial diseases
Biomarkers play a central role in medicine's gradual progress towards proactive,
personalized precision diagnostics and interventions. However, finding biomarkers that …
personalized precision diagnostics and interventions. However, finding biomarkers that …