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SUMMARY:Biophysical Modeling of Real-Time Cellular Mechanical Responses to
  Ionizing Radiation for Predicting Radiotherapy Outcomes
DTSTART;VALUE=DATE-TIME:20260325T122000Z
DTEND;VALUE=DATE-TIME:20260325T124000Z
DTSTAMP;VALUE=DATE-TIME:20260426T163502Z
UID:indico-contribution-10342@events.saip.org.za
DESCRIPTION:Speakers: Nyasha Njanji (University of Zimbabwe)\nMedical biop
 hysics continues to expand the understanding of how physical forces and ra
 diation interact with biological systems. While traditional radiobiology f
 ocuses mainly on DNA damage and biochemical pathways\, the mechanical resp
 onses of cells to ionizing radiation remain relatively unexplored. This st
 udy proposes a novel approach that investigates how radiation exposure alt
 ers the mechanical properties of cancer cells\, including cellular stiffne
 ss\, membrane tension\, and cytoskeletal structure.\nThe research integrat
 es radiation physics with cellular biomechanics to analyze the real-time m
 echanical responses of cells during irradiation. Advanced biophysical tech
 niques such as atomic force microscopy and high-resolution optical imaging
  are proposed to measure changes in cell elasticity and deformation after 
 controlled radiation exposure. These measurements are combined with comput
 ational modelling to establish correlations between radiation dose deposit
 ion and mechanical alterations within the cell.\nPreliminary theoretical m
 odels suggest that radiation-induced stress can cause rapid cytoskeletal r
 eorganization\, leading to measurable changes in cellular mechanical prope
 rties before conventional biological markers become detectable. Identifyin
 g these mechanical signatures may provide early indicators of cellular rad
 iation damage and radio-sensitivity.\nThe findings of this study could int
 roduce a new dimension in radiotherapy research by linking radiation–mat
 ter interactions with cellular biomechanics. Such insights may contribute 
 to the development of rapid biophysical biomarkers for predicting treatmen
 t response and optimizing personalized radiotherapy strategies. Ultimately
 \, this interdisciplinary approach may enhance both the precision and effe
 ctiveness of modern cancer treatment.\n\nKeywords: Medical biophysics\, ce
 llular biomechanics\, ionizing radiation\, radiotherapy response\, cytoske
 leton mechanics\, predictive modeling\n\nhttps://events.saip.org.za/event/
 272/contributions/10342/
LOCATION:
URL:https://events.saip.org.za/event/272/contributions/10342/
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