THE TRANSFORMATIVE ROLE OF ARTIFICIAL INTELLIGENCE IN PERSONALIZED MEDICINE: A NEW FRONTIER AT THE BIOFARMA STUDY CENTER

Authors

  • Alice Miranda Independent Unit for Studies in Biopharmaceutical Innovation
  • Roberto Velasques Independent Unit for Studies in Biopharmaceutical Innovation
  • Sofia Carvalho Independent Unit for Studies in Biopharmaceutical Innovation

DOI:

https://doi.org/10.59087/biofarma.v4i1.38

Keywords:

Artificial Intelligence, Personalized Medicine, Early Diagnosis

Abstract

Personalized medicine, by recognizing individual variations that impact health, is being profoundly transformed by the integration of artificial intelligence (AI). This article explores how AI enhances diagnostics, treatments, and preventive care, highlighting its positive impact on the early detection of diseases and the personalization of interventions. Utilizing advanced techniques such as machine learning and deep learning, personalized medicine greatly benefits from data analysis, leading to more efficient and effective care.

Downloads

Download data is not yet available.

References

Schork, N. J. (2020). Artificial Intelligence and Personalized Medicine. Cancer Treatment Reviews.

Esteva, A., et al. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639): 115–118.

Cohen, J. D., et al. (2018). Detection and localization of surgically resectable cancers with a multi-analyte blood test. Science, 359(6378): 926–930.

Gulshan, V., et al. (2016). Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. JAMA, 316(22): 2402–2410.

Kourou, K., et al. (2015). Machine Learning Applications in Cancer Prognosis and Prediction. Computational and Structural Biotechnology Journal, 13: 8-17.

Rajkomar, A., et al. (2019). Ensuring Safe and Equitable Machine Learning in Health Care. New England Journal of Medicine, 380(15): 1436-1439.

Obermeyer, Z., & Emanuel, E. J. (2016). Predicting the Future — Big Data, Machine Learning, and Clinical Medicine. New England Journal of Medicine, 375(13): 1216-1219.

Qi, Q., et al. (2020). Clinically Applicable Deep Learning for Diagnosis and Referral in Non-Expert Settings. Nature Medicine, 26(5): 919-926.

Zimny, A., & Klimek, M. (2021). Artificial Intelligence in Personalized Medicine: A Comprehensive Review. Pharmacological Reports, 73(4): 1001-1007.

Wang, F., et al. (2019). A Review of Artificial Intelligence in Healthcare: Current Applications and Challenges. Health Informatics Journal, 25(2): 100-107.

Saria, S., et al. (2019). A Proactively-Cared Patient: Artificial Intelligence and Clinical Decision Support. Annual Review of Biomedical Data Science, 2: 109-132.

Mamoshin, S., et al. (2021). The Impact of Artificial Intelligence on Accelerating Drug Discovery and Oncology. Cancers, 13(12): 2923.

Published

2024-10-31

How to Cite

Miranda, A., Velasques, R., & Carvalho, S. (2024). THE TRANSFORMATIVE ROLE OF ARTIFICIAL INTELLIGENCE IN PERSONALIZED MEDICINE: A NEW FRONTIER AT THE BIOFARMA STUDY CENTER. Biofarma - Multidisciplinary Scientific Journal of Biology, Pharmacy and Health, 4(1). https://doi.org/10.59087/biofarma.v4i1.38