Interactive precision medicine revolution: unleashing a deep learning framework for drug response and recommendation-Reference-Cited by-同舟云学术

Interactive precision medicine revolution: unleashing a deep learning framework for drug response and recommendation

Published:2024-08-24 Issue:1 Volume:11 Page:
ISSN:2331-1916
Container-title:Cogent Engineering
language:en
Short-container-title:Cogent Engineering

Author:

Gundavarapu Mallikarjuna Rao¹,Kotla Venkata Raghavender²,Latha S. Bhargavi³,N. V. Pavan Kumar⁴,R. N. Ashlin Deepa¹^ORCID,Kotov Evgeny Vladimirovich⁵,Nautiyal Rishi Dev⁶,Alzubaidi Laith H.⁷

Affiliation:

1. Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India

2. Department of Computer Science and Engineering, G. Narayanamma Institute of Science and Technology, Hyderabad, India

3. School of Computer Science and Engineering, Reva University, Bangalore, India

4. Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India

5. Division of Research and Development, Lovely Professional University, Phagwara, India

6. Department of Engineering, Uttaranchal University, Dehradun, India

7. Department of Computers Techniques Engineering, College of Technical Engineering, The Islamic University, Najaf, Iraq

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/23311916.2024.2389317

Reference21 articles.

1. The Role of α1-Adrenoceptor Antagonists in the Treatment of Prostate and Other Cancers

2. Prediction of Pathological Complete Response after Neoadjuvant Chemotherapy for breast cancer using ensemble machine learning

4. Deep learning framework for smart patient attendant system using thermal images

5. GA-ANN Framework for Breast Cancer Classification Using NSGA-II