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Updated: May 12, 2025

Radiosynthesis, Quality Control, and Small Animal Positron Emission Tomography Imaging of 68Ga-Labelled Nano Molecules
Published on: October 4, 2024
New Targets for Imaging in Nuclear Medicine.
Anita Brink1, Diana Paez1, Enrique Estrada Lobato1
1Nuclear Medicine and Diagnostic Imaging Section, Division of Human Health, Department of Nuclear Sciences and Applications, International Atomic Energy Agency, Vienna, Austria.
Nuclear medicine is advancing with new molecular imaging tracers and AI tools for precise diagnostics and personalized therapies. These innovations, including theranostics, are transforming patient care in oncology and neurology.
Area of Science:
- Nuclear medicine
- Molecular imaging
- Radiopharmaceuticals
Background:
- Emerging PET and SPECT tracers target specific molecules like PSMA, FAP, and tau protein for enhanced disease visualization.
- The field is shifting towards precision imaging in oncology and neurology with novel diagnostic agents.
- Artificial intelligence (AI) and machine learning are increasingly integrated into nuclear medicine.
Discussion:
- AI accelerates radiopharmaceutical discovery, optimizes properties, and aids in interpreting complex imaging data.
- Theranostic applications combining diagnosis with radionuclide therapy are expanding.
- The integration of AI and novel tracers presents significant opportunities for personalized medicine.
Key Insights:
- Novel tracers like PSMA, FAP, and tau-targeting agents offer improved specificity in disease detection.
- AI enhances nuclear medicine workflows from drug discovery to image analysis.
- The synergy between molecular targeting and AI is key to future advancements.
Outlook:
- Future nuclear medicine practice will be transformed by AI and advanced molecular targeting.
- Personalized diagnostics and radiotheranostic strategies will become more prevalent.
- Addressing regulatory, manufacturing, and clinical challenges is crucial for widespread adoption.
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