Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
AI and Machine Learning in Radiopharmaceutical Development

AI and Machine Learning in Radiopharmaceutical Development

Gupta, Khushboo
Shrivastava, Pranjul

Paperback

Medical Reference

ISBN10: 6208418275
ISBN13: 9786208418274
Publisher: LAP Lambert Academic Publishing
Published: Jan 9 2025
Pages: 60
Weight: 0.21
Height: 0.14 Width: 6.00 Depth: 9.00
Language: English
AI and machine learning (ML) are increasingly transforming the field of radiopharmaceutical development, offering new ways to design, optimize, and evaluate these critical compounds. Radiopharmaceuticals, which are used for both diagnostic imaging and targeted therapy, require precise formulation and testing to ensure safety and efficacy. AI and ML technologies can accelerate this process by analyzing vast amounts of complex data, identifying patterns, and making predictions that were previously time-consuming or difficult.Machine learning algorithms, such as deep learning and reinforcement learning, are used to model molecular interactions, predict the behavior of radiopharmaceuticals within the body, and optimize the selection of radioisotopes for specific targeting. AI-driven tools also enable faster drug discovery by simulating and predicting the outcomes of radiopharmaceutical interactions with biological systems, thus reducing the need for extensive trial and error.

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