Optimizing Drug Discovery for Breast Cancer in a Laboratory Environment Using Machine Learning-Reference-Cited by-同舟云学术

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Optimizing Drug Discovery for Breast Cancer in a Laboratory Environment Using Machine Learning

Published:2024-03-21 Issue: Volume:8956 Page:1-5
ISSN:
Container-title:2024 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)
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Author:

Borkhade Gauri¹,Singh Jagendra²,Shelke Nitin Arvind³,Upreti Kamal⁴,Kuwar Vishakha⁵,Tiwar Mohit⁶

Affiliation:

1. Bharati Vidyapeeth College of Engineering,Navi Mumbai,India

2. Alliance School of Advanced Computing, Alliance University,Bangalore,India

3. School of Computer Science Engineering & Technology, Bennett University,Greater Noida,India

4. CHRIST (Deemed to be University), Delhi-NCR,Department of Computer Science,Ghaziabad,India

5. Dr. D Y Patil Vidyapeeth, Centre for online Learning,Pune,India

6. Bharati Vidyapeeth's College of Engineering,Computer Science and Engineering,Delhi,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10532253/10532799/10532839.pdf?arnumber=10532839

Reference15 articles.

1. Machine Learning-Based Approach to Developing Potent EGFR Inhibitors for Breast Cancer─Design, Synthesis, and In Vitro Evaluation

2. Machine Learning in Drug Discovery: A Review

3. An Integrated Approach for Analysis of Electronic Health Records Using Blockchain and Deep Learning

4. Machine Learning Methods in Drug Discovery

5. Comparative Analysis of Deep Learning-Based Brain Tumor Prediction Models Using MRI Scan

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