Revolutionizing Our Healthcare: Harnessing AI's Potential for Health and Medicine (Square)

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Acknowledgements

References

1. Kim, H., Kim, E., Lee, I., Bae, B., Park, M., & Nam, H. (2020). Artificial intelligence in drug discovery: a comprehensive review of data-driven and machine learning approaches. Biotechnology and Bioprocess Engineering, 25, 895-930. 2. Shanehsazzadeh, A., Bachas, S., McPartlon, M., Kasun, G., Sutton, J. M., Steiger, A. K., ... & Meier, J. (2023). Unlocking de novo antibody design with generative artificial intelligence. bioRxiv, 2023-01. 3. Schork, N. J. (2019). Artificial intelligence and personalized medicine. Precision medicine in Cancer therapy, 265-283. 4. Caltech Science Exchange. (2023). https://scienceexchange.caltech.edu/topics/artificial-intelligence-research/artificial-intelligence-experts/ai-science-emami 5. Press, G. (2023). Diagnostic Robotics AI Advances Predictive, Personalized Medicine. Forbes 6. TechTarget. (2023). https://healthitanalytics.com/news/dartmouth-launches-center-for-artificial-intelligence-precision-medicine 7. Park, A. (2022). How AI Is Changing Medical Imaging to Improve Patient Care. Time Magazine 8. Saw, S. N., & Ng, K. H. (2022). Current challenges of implementing artificial intelligence in medical imaging. Physica Medica, 100, 12-17. 9. TechTarget. (2020). https://healthitanalytics.com/features/top-challenges-of-applying-artificial-intelligence-to-medical-imaging 10. Buch, V. H., Ahmed, I., & Maruthappu, M. (2018). Artificial intelligence in medicine: current trends and future possibilities. British Journal of General Practice, 68(668), 143-144.

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