scholarly journals Applications of artificial intelligence in, early detection of cancer, clinical diagnosis and personalized medicine

2020 ◽  
Vol 1 (2) ◽  
pp. 39-44
Author(s):  
Mujib Ullah ◽  
Asma Akbar ◽  
Gustavo Yannarelli





2005 ◽  
Vol 4 (6) ◽  
pp. 645-650 ◽  
Author(s):  
K. K. Jain

Personalized medicine simply means the prescription of specific therapeutics best suited for an individual. Personalization of cancer therapies is based on a better understanding of the disease at the molecular level. Nanotechnology will play an important role in this area. Nanobiotechnology is being used to refine discovery of biomarkers, molecular diagnostics, drug discovery and drug delivery, which are important basic components of personalized medicine and are applicable to management of cancer as well. Examples are given of the application of quantum dots, gold nanoparticles, and molecular imaging in diagnostics and combination with therapeutics - another important feature of personalized medicine. Personalized medicine is beginning to be recognized and is expected to become a part of medical practice within the next decade. Personalized management of cancer, facilitated by nanobiotechnology, is expected to enable early detection of cancer, more effective and less toxic treatment increasing the chances of cure.



2021 ◽  
Author(s):  
Antonio J Banegas-Luna ◽  
Miguel Carmena-Bargueño ◽  
Horacio Pérez-Sánchez


2012 ◽  
Vol 43 (2) ◽  
pp. 103-109 ◽  
Author(s):  
Kazufumi Honda ◽  
Masaya Ono ◽  
Miki Shitashige ◽  
Mari Masuda ◽  
Masahiro Kamita ◽  
...  


2021 ◽  
Vol 7 (1) ◽  
pp. 33-49
Author(s):  
Susana Navas Navarro

This article introduces the main relevant aspects of ehealth or “digital health.” In this regard, by way of an introduction, the concept of health is addressed. In the second section, the core of this article, different aspects regarding the relationship between health and technology (HealthTech) are highlighted. Next, the importance of technology in order to deliver a preventive and personalized medicine, tailor-made to each patient, is addressed. Then, in the fourth section, some discriminatory situations that may arise due to not being able to access technology are discussed. Finally, I make some remarks regarding the so-called “Internet of Bodies".





2018 ◽  
Vol 24 (1) ◽  
pp. 124-125
Author(s):  
Masturah Bte Mohd Abdul Rashid ◽  
Edward Kai-Hua Chow

Artificial intelligence holds great promise in transforming how drugs are designed and patients are treated. In a study recently published in Science Translational Medicine, a unique artificial intelligence platform makes efficient use of small experimental datasets to design new drug combinations as well as identify the best drug combinations for specific patient samples. This quadratic phenotypic optimization platform (QPOP) does not rely on previous assumptions of molecular mechanisms of disease, but rather uses system-specific experimental data to determine the best drug combinations for a specific disease model or a patient sample. In this commentary, we explore how QPOP was applied toward multiple myeloma in the study. We also discuss how this study demonstrates the potential for applications of QPOP toward improving therapeutic regimen design and personalized medicine.





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