AI-Driven Drug Discovery: Unravelling the Potential of Generative Adversarial Networks (GANs) in Pharmaceutical Research-Reference-Cited by-同舟云学术

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AI-Driven Drug Discovery: Unravelling the Potential of Generative Adversarial Networks (GANs) in Pharmaceutical Research

Published:2023-11-01 Issue: Volume: Page:817-822
ISSN:
Container-title:2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS)
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Author:

Burri Srinivasa Rao¹,Diallo Mamadou Yero²,Sharma Lakshay³,Dutt Vishal⁴

Affiliation:

1. Western Union,Denver,CO,USA

2. Sharda University,Computer Science & Engineering,Greater Noida,India

3. Indraprastha Institute of Information Technology,Computer Science & Applied Mathematics,Delhi,India

4. Chandigarh University,Department of CSE,Mohali,Punjab,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10389811/10389819/10390116.pdf?arnumber=10390116

Reference20 articles.

1. AI-powered therapeutic target discovery

2. Multimodal Neuroimaging Data in Early Detection of Alzheimer's Disease: Exploring the Role of Ensemble Models and GAN Algorithm

3. Comparing the performance of machine learning algorithms using estimated accuracy

4. Transforming Payment Processes: A Discussion of AI-Enabled Routing Optimization

5. AI applications in robotics, diagnostic image analysis and precision medicine: Current limitations, future trends, guidelines on CAD systems for medicine

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