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Deep Learning in Precision Medicine

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Intelligent Sustainable Systems

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 213))

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Abstract

Healthcare is considered as one of the prime sectors in any country. To improve the life style and medical health of the citizens, countries around the globe invests into this sector in order to give better medical facilities. With the advancement of the applications of Artificial Intelligence in interdisciplinary domain, healthcare system is now amalgamated with advance AI domains like Deep Learning, Machine Learning, Big Data, etc. The paper summarizes the applications of Deep Learning in several medical sectors and discusses various algorithms adopted by researchers to include the power of Deep Learning in current medical system.

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References

  1. Goodfellow, I., et al.: Deep Learning, vol. 1, no. 2. MIT Press, Cambridge (2016)

    Google Scholar 

  2. Voulodimos, A., et al.: Deep learning for computer vision: a brief review. Comput. Intell. Neurosci. (2018)

    Google Scholar 

  3. Ponti, M.A., et al.: Everything you wanted to know about deep learning for computer vision but were afraid to ask. In: 2017 30th SIBGRAPI Conference on Graphics, Patterns and Images Tutorials (SIBGRAPI-T). IEEE (2017)

    Google Scholar 

  4. Zeiler, M.D.: Hierarchical convolutional deep learning in computer vision. Dissertation, New York University (2013)

    Google Scholar 

  5. Deng, L., Hinton, G., Kingsbury, B.: New types of deep neural network learning for speech recognition and related applications: an overview. In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE (2013)

    Google Scholar 

  6. Amodei, D., et al.: Deep speech 2: End-to-end speech recognition in english and mandarin. In: International Conference on Machine Learning (2016)

    Google Scholar 

  7. Deng, L., Liu, Y. (eds.): Deep Learning in Natural Language Processing. Springer (2018)

    Google Scholar 

  8. Young, T., et al.: Recent trends in deep learning based natural language processing. IEEE Comput. Intell. Mag. 13(3), 55–75 (2018)

    Google Scholar 

  9. Peña-Solórzano, C.A., et al.: Findings from machine learning in clinical medical imaging applications–Lessons for translation to the forensic setting. Forensic Sci. Int. 110538 (2020)

    Google Scholar 

  10. Suzuki, K.: Overview of deep learning in medical imaging. Radiol. Phys. Technol. 10(3), 257–273 (2017)

    Article  Google Scholar 

  11. Suzuki, K., et al.: Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN). IEEE Trans. Med. Imaging 25(4), 406–416 (2006)

    Google Scholar 

  12. Moeskops, P., et al.: Deep learning for multi-task medical image segmentation in multiple modalities. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham (2016)

    Google Scholar 

  13. Frid-Adar, M., et al.: GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification. Neurocomputing 321, 321–331 (2018)

    Google Scholar 

  14. Gulshan, V., et al.: Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. JAMA 316(22), 2402–2410 (2016)

    Google Scholar 

  15. Liu, S., et al.: Early diagnosis of Alzheimer’s disease with deep learning. In: 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI). IEEE (2014)

    Google Scholar 

  16. Hu, Z., et al.: Deep learning for image-based cancer detection and diagnosis − a survey. Pattern Recogn. 83, 134–149 (2018)

    Google Scholar 

  17. Wang, D., et al.: Deep learning for identifying metastatic breast cancer (2016). arXiv:1606.05718

  18. https://deepmind.com/blog/article/moorfields-major-milestone

  19. Nayak, S.R., et al.: Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: a comprehensive study. Biomed. Signal Process. Control 102365 (2020)

    Google Scholar 

  20. Hemdan, E.E.-D., Shouman, M.A., Karar, M.E.: Covidx-net: a framework of deep learning classifiers to diagnose covid-19 in x-ray images (2020). arXiv:2003.11055

  21. Alazab, M., et al.: COVID-19 prediction and detection using deep learning. Int. J. Comput. Inf. Syst. Ind. Manag. Appl. 12, 168–181 (2020)

    Google Scholar 

  22. Ozturk, T., et al.: Automated detection of COVID-19 cases using deep neural networks with X-ray images. Comput. Biol. Med. 103792 (2020)

    Google Scholar 

  23. https://www.lshtm.ac.uk/newsevents/news/2020/average-cost-developing-new-drug-could-be-15-billion-lesspharmaceutical#:~:text=The%20study%20estimated%20that%20the,as%20high%20as%20%242.8%20billion

  24. Gawehn, E., Hiss, J.A., Schneider, G.: Deep learning in drug discovery. Mol. Inf. 35(1), 3–14 (2016)

    Article  Google Scholar 

  25. Stepniewska-Dziubinska, M.M., Zielenkiewicz, P., Siedlecki, P.: Development and evaluation of a deep learning model for protein–ligand binding affinity prediction. Bioinformatics 34(21), 3666–3674 (2018)

    Article  Google Scholar 

  26. Jing, Y., et al.: Deep learning for drug design: an artificial intelligence paradigm for drug discovery in the big data era. AAPS J. 20(3), 58 (2018)

    Google Scholar 

  27. Cui, D., et al.: The role of interfacial water in protein–ligand binding: insights from the indirect solvent mediated potential of mean force. J. Chem. Theory Comput. 14(2), 512–526 (2018)

    Google Scholar 

  28. Suo, Q., et al.: Deep patient similarity learning for personalized healthcare. IEEE Trans. Nanobiosci. 17(3), 219–227 (2018)

    Google Scholar 

  29. Naylor, C.D.: On the prospects for a (deep) learning health care system. JAMA 320(11), 1099–1100 (2018)

    Google Scholar 

  30. Esteva, A., et al.: A guide to deep learning in healthcare. Nat. Med. 25(1), 24–29 (2019)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Computer Science and Engineering Department, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India

    Kavita Tewani

Authors
  1. Kavita Tewani
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Editor information

Editors and Affiliations

  1. Gnanmani College of Engineering and Technology, Namakkal, Tamil Nadu, India

    Jennifer S. Raj

  2. Department of Business Administration, The Gerald Schwartz, School of Business, St. Francis Xavier University, Nova Scotia, NS, Canada

    Ram Palanisamy

  3. Department of Computer Engineering and Informatics, University of Patras, Patra, Greece

    Isidoros Perikos

  4. Department of Computer Science, Kennesaw State University, Kennesaw, GA, USA

    Yong Shi

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Tewani, K. (2022). Deep Learning in Precision Medicine. In: Raj, J.S., Palanisamy, R., Perikos, I., Shi, Y. (eds) Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, vol 213. Springer, Singapore. https://doi.org/10.1007/978-981-16-2422-3_19

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