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Department of Medical Physics

Advancing the application of physical principles, quantitative measurement and engineering innovation to medical imaging, radiation therapy, nuclear medicine, biomedical modeling, image-guided treatment and the safety and effectiveness of clinical technologies.

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Department Overview

Aims and Scope

Medical physics applies the laws, methods and measurement techniques of physics to the understanding, diagnosis and treatment of human disease. The Department of Medical Physics of The Gazette of Medical Sciences (The GMS) provides a peer-reviewed, open-access forum for research at the intersection of physics, mathematics, engineering, medicine and human biology. Its editorial scope includes the development, evaluation and clinical application of technologies that improve diagnostic accuracy, therapeutic precision, patient safety and understanding of biophysical processes. Contributions are welcomed from practicing medical physicists, clinicians, biomedical engineers, computational scientists and physics-based translational researchers.

Diagnostic imaging physics constitutes a major focus of the Department. Research may investigate X-ray imaging, computed tomography, magnetic resonance imaging, ultrasound, nuclear medicine, positron emission tomography, single-photon emission computed tomography and emerging hybrid imaging systems. The Department encourages investigations into image formation, detector technology, image reconstruction, image quality, quantitative imaging, acquisition optimization, imaging biomarkers and measurement uncertainty. Studies involving image processing, computer-aided detection, machine learning and artificial intelligence are welcomed when they demonstrate appropriate technical evaluation, clinical relevance and reproducibility.

Radiation therapy physics and treatment optimization form another essential area of interest. The Department considers work on radiation dosimetry, treatment planning, dose calculation, treatment verification, radiobiological modeling, external-beam radiation therapy, brachytherapy, particle therapy and image-guided radiotherapy. Research addressing motion management, adaptive treatment, quality assurance, treatment delivery systems and mathematical modeling of therapeutic response is particularly relevant. Contributions should clarify how physical measurements, computational methods or technological improvements support treatment accuracy, reliability and patient safety.

The Department also welcomes research on biomedical instrumentation, radiation protection, non-ionizing radiation, optical technologies, biomechanics, bioelectromagnetism, physiological measurement and image-guided therapeutic interventions. Relevant studies may address sensor development, signal acquisition, medical device performance, computational anatomy, patient-specific modeling and the physical characterization of biological tissues. Mathematical and computational approaches, including simulation, finite-element analysis, Monte Carlo methods and virtual clinical trials, are encouraged when they provide testable predictions or demonstrable improvements in medical applications.

A central editorial priority is the responsible translation of physical research into biomedical knowledge and clinical practice. The Department considers original research, methodological studies, experimental reports, reviews, case studies, short communications, scholarly perspectives, editorials and letters. Theoretical contributions exploring physical mechanisms in living systems may be considered when their assumptions, supporting evidence, limitations and potential for empirical testing are clearly presented. Speculative models must be distinguished from established physical principles and clinically validated findings. All submissions are expected to meet appropriate standards of scientific rigor, ethical conduct, transparent reporting and reproducibility.

Areas of Interest

  • Physics and Engineering Developments in Medical Imaging
  • Radiation Therapy
  • Image-Guided Therapeutic Interventions
  • Computer-Aided Detection and Diagnosis
  • Biomarkers
  • Machine Learning
  • Mathematical Modelling of Treatment
  • Nuclear Medicine Imaging
  • Virtual Clinical Trials
  • Imaging and Therapy Research
  • Diagnostic Medical Physics
  • Therapeutic Medical Physics
  • Radiation Dosimetry
  • Radiation Protection
  • Radiation Safety
  • Radiobiology
  • Radiation Treatment Planning
  • Radiation Dose Calculation
  • External-Beam Radiotherapy
  • Intensity-Modulated Radiotherapy
  • Volumetric Modulated Arc Therapy
  • Image-Guided Radiotherapy
  • Adaptive Radiotherapy
  • Stereotactic Radiosurgery
  • Stereotactic Body Radiotherapy
  • Brachytherapy Physics
  • Proton and Particle Therapy
  • Monte Carlo Radiation Simulation
  • Medical Linear Accelerators
  • Radiotherapy Quality Assurance
  • Patient-Specific Dosimetry
  • Medical Imaging Systems
  • X-Ray Imaging Physics
  • Computed Tomography Physics
  • Magnetic Resonance Physics
  • Ultrasound Physics
  • Positron Emission Tomography
  • Single-Photon Emission Computed Tomography
  • Hybrid Medical Imaging
  • Image Reconstruction
  • Image Processing
  • Quantitative Medical Imaging
  • Imaging Biomarker Development
  • Medical Image Registration
  • Medical Image Segmentation
  • Computer-Aided Diagnosis
  • Artificial Intelligence in Medical Physics
  • Deep Learning for Medical Imaging
  • Imaging System Calibration
  • Medical Imaging Quality Control
  • Radiation Detector Technology
  • Medical Instrumentation
  • Biomedical Sensors
  • Biomedical Signal Processing
  • Optical Medical Imaging
  • Biophotonics
  • Laser Applications in Medicine
  • Non-Ionizing Radiation Applications
  • Bioelectromagnetism
  • Biomedical Electromagnetic Modeling
  • Biomechanics
  • Computational Biophysics
  • Physiological Physics
  • Biological Tissue Characterization
  • Patient-Specific Computational Models
  • Finite-Element Modeling
  • Mathematical Modeling in Medicine
  • Medical Device Physics
  • Medical Technology Assessment
  • Clinical Physics Measurement
  • Measurement Uncertainty
  • Imaging Dose Optimization
  • Motion Management in Radiotherapy
  • Clinical Medical Physics Informatics
  • Translational Medical Physics

The Department encourages work that advances physical understanding, measurement reliability or technological innovation in medicine. Submissions are evaluated for scientific merit, methodological quality, ethical compliance and relevance to medical physics.

Research & Reviews

Published Articles

Review Article

Energy Dynamics in Chronic Heart Failure, Chronic Kidney Disease & the Cardiorenal Syndrome: A New Causal Paradigm

K. E. Thorp, James A. Thorp, Christiane Northrup, Elise M. Thorp, Ajovi Scott-Emuakpor and John P. Kepros

This review proposes an alternative theoretical framework for understanding chronic heart failure, chronic kidney disease and cardiorenal syndrome. The authors interpret these conditions through a proposed relationship between cardiovascular energy generation, blood-flow dynamics, electromagnetic phenomena and tissue function. Their discussion draws on physiological observations, ischemic preconditioning and hypothesized systemic energy deficits to challenge conventional mechanistic interpretations. The proposed causal framework represents the authors' hypothesis and should not be regarded as an established explanation of these diseases or a clinically validated treatment model.

DOI: https://doi.org/10.46766/thegms.medphys.23041001
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Review Article

Aether, fields & energy dynamics in living bodies – Part III

K. E. Thorp, James A. Thorp and Paul R. Walker

The third installment of this theoretical series examines how the authors' proposed aether-based field model might be applied to selected acute and chronic medical conditions. The discussion includes migraine, posterior reversible encephalopathy syndrome, idiopathic intracranial hypertension, intra-abdominal hypertension, cardiorenal syndrome, seizure disorders and inflammatory diseases. The authors seek to interpret these conditions through hypothesized magnetic, dielectric and electrical field relationships in living systems. These interpretations are speculative and do not represent established mechanisms of disease.

DOI: https://doi.org/10.46766/thegms.medphys.21112203
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Review Article

Aether, fields & energy dynamics in living bodies – Part II

K. E. Thorp, James A. Thorp and Paul R. Walker

Part II develops the authors' proposed framework for describing energy dynamics in biological systems through interactions among magnetic, radiant and dielectric phenomena. It discusses cardiovascular function, biological water, interstitial fluids, intracellular electrical processes and the possible relationship between physical fields and physiological organization. The article uses the historical aether concept as a foundation for its interpretation of living systems. Its proposed field mechanisms remain theoretical and should be distinguished from experimentally established biophysical principles.

DOI: https://doi.org/10.46766/thegms.medphys.21110401
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Review Article

Aether, fields & energy dynamics in living bodies – Part I

K. E. Thorp, James A. Thorp and Paul R. Walker

The opening article in this three-part series reviews historical ideas about the aether concept and explores the authors' proposed relationship between physical fields and biological function. It discusses the development of physical theories, electromagnetic phenomena, cardiovascular motion and the possibility of a body-wide energetic organization. The authors advance an alternative interpretation of physiological processes that they develop further in the subsequent papers. The aether-based biological model presented here is not an accepted framework of contemporary medical physics.

DOI: https://doi.org/10.46766/thegms.medphys.21100603
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Contribute to Medical Physics Research

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Please direct any enquiry or submit papers to: info@thegms.co

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The Gazette of Medical Sciences
Publication & Beyond

An international, online, open-access, peer-reviewed journal publishing scholarly work in the medical sciences and related domains.

ISSN 2692-4374 • DOI Prefix 10.46766
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