Applications of AI-Based Models in the Field of Biomedicine

Doke-Bagade, Priyanka E.; Bagade, Om

doi:10.1007/978-981-97-2596-0_12

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2024

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Cited by 2 publications

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Enhancing Predictive Analytics in Healthcare Leveraging Deep Learning for Early Diagnosis and Treatment Optimization

Juyal

2024

2024 5th International Conference on Smart Electronics and Communication (ICOSEC)

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Enhancing Predictive Analytics in Healthcare Leveraging Deep Learning for Early Diagnosis and Treatment Optimization

Juyal

2024

2024 5th International Conference on Smart Electronics and Communication (ICOSEC)

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AI-Powered Clinical Trial Design With Translational Bioinformatics

Mittal,

Singh,

Gochhait

et al. 2024

Advances in Medical Diagnosis, Treatment, and Care

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Clinical trial design is undergoing a revolution fueled by artificial intelligence (AI) and translational bioinformatics. This chapter explores how AI techniques like machine learning and deep learning are being harnessed to analyze vast datasets of biological and clinical information. By integrating these insights with translational bioinformatics, researchers can identify promising drug candidates, select patients most likely to benefit from treatment, and design more efficient and targeted clinical trials. Real-world examples showcase the application of AI in immuno-oncology patient selection, drug discovery for rare diseases, predicting Alzheimer's trial outcomes, and virtual patient recruitment for cardiovascular studies. While challenges like data quality and ethical considerations exist, AI and translational bioinformatics hold immense promise for accelerating drug development, bringing life-saving therapies to patients faster.

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Applications of AI-Based Models in the Field of Biomedicine

Cited by 2 publications

References 45 publications

Enhancing Predictive Analytics in Healthcare Leveraging Deep Learning for Early Diagnosis and Treatment Optimization

Enhancing Predictive Analytics in Healthcare Leveraging Deep Learning for Early Diagnosis and Treatment Optimization

AI-Powered Clinical Trial Design With Translational Bioinformatics

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