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Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
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Multimodal molecular imaging in drug discovery and development.

Isabeau Vermeulen1, Emre M Isin2, Patrick Barton3

  • 1The Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, the Netherlands.

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Summary

Multimodal imaging, combining multiple techniques, accelerates drug discovery by providing anatomical, functional, and molecular insights. Artificial intelligence and radiomics enhance imaging

Keywords:
Artificial intelligenceMolecular imagingMultimodal imagingPreclinical researchRadiomics

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Area of Science:

  • Biomedical imaging
  • Drug discovery and development
  • Translational medicine

Background:

  • Multimodal imaging integrates diverse techniques for comprehensive anatomical, functional, and molecular data.
  • Imaging technologies are crucial for understanding disease mechanisms and identifying therapeutic targets.

Purpose of the Study:

  • To review the application of various imaging techniques across drug discovery and development phases.
  • To highlight innovations and future potential of imaging in pharmaceuticals.
  • To emphasize the role of artificial intelligence (AI) and radiomics in advancing imaging technologies.

Main Methods:

  • Review of current imaging modalities used in preclinical and clinical drug development.
  • Analysis of AI and radiomics applications in image analysis and interpretation.
  • Discussion of strengths and limitations of different imaging approaches.

Main Results:

  • Multimodal imaging offers synergistic information, accelerating the identification and validation of drug candidates.
  • AI and radiomics significantly enhance the predictive power and efficiency of imaging in drug development.
  • Imaging plays a vital role from target identification to treatment response assessment.

Conclusions:

  • Integrated imaging strategies, powered by AI and radiomics, are transforming drug discovery and development.
  • The future of pharmaceutical research relies on advanced imaging for precise and efficient therapeutic innovation.
  • Harnessing multimodal imaging capabilities is key to overcoming challenges in bringing new medicines to patients.