Artificial Intelligence-Driven Designer Drug Combinations: From Drug Development to Personalized Medicine

2018 ◽  
Vol 24 (1) ◽  
pp. 124-125
Author(s):  
Masturah Bte Mohd Abdul Rashid ◽  
Edward Kai-Hua Chow
Keyword(s):  
Artificial Intelligence ◽  
Personalized Medicine ◽  
Translational Medicine ◽  
Molecular Mechanisms ◽  
Disease Model ◽  
Drug Combinations ◽  
Designer Drug ◽  
Great Promise ◽  
Specific Patient ◽  
And Personalized Medicine

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.

Artificial Intelligence for epigenetics: towards personalized medicine

2020 ◽  
Vol 27 ◽  
Author(s):  
Giulia De Riso ◽  
Sergio Cocozza
Keyword(s):  
Biological Sciences ◽  
Artificial Intelligence ◽  
Personalized Medicine ◽  
Molecular Mechanisms ◽  
Genomic Sequence ◽  
Health Care Interventions ◽  
Genome Wide ◽  
Genetic And Environmental Factors ◽  
Opening Up ◽  
Omic Data

: Epigenetics is a field of biological sciences focused on the study of reversible, heritable changes in gene function not due to modifications of the genomic sequence. These changes are the result of a complex cross-talk between several molecular mechanisms, that is in turn orchestrated by genetic and environmental factors. The epigenetic profile captures the unique regulatory landscape and the exposure to environmental stimuli of an individual. It thus constitutes a valuable reservoir of information for personalized medicine, which is aimed at customizing health-care interventions based on the unique characteristics of each individual. Nowadays, the complex milieu of epigenomic marks can be studied at the genome-wide level thanks to massive, highthroughput technologies. This new experimental approach is opening up new and interesting knowledge perspectives. However, the analysis of these complex omic data requires to face important analytic issues. Artificial Intelligence, and in particular Machine Learning, are emerging as powerful resources to decipher epigenomic data. In this review, we will first describe the most used ML approaches in epigenomics. We then will recapitulate some of the recent applications of ML to epigenomic analysis. Finally, we will provide some examples of how the ML approach to epigenetic data can be useful for personalized medicine.

scholarly journals Quo vadis artificial intelligence and personalized medicine?

2021 ◽  
Author(s):  
Antonio J Banegas-Luna ◽  
Miguel Carmena-Bargueño ◽  
Horacio Pérez-Sánchez
Keyword(s):  
Artificial Intelligence ◽  
Personalized Medicine ◽  
Quo Vadis ◽  
And Personalized Medicine

scholarly journals Health and Artificial Intelligence in the context of COVID-19 and beyond

2021 ◽  
Vol 7 (1) ◽  
pp. 33-49
Author(s):  
Susana Navas Navarro
Keyword(s):  
Artificial Intelligence ◽  
Personalized Medicine ◽  
Digital Health ◽  
Access Technology ◽  
Fourth Section ◽  
The Core ◽  
Concept Of Health ◽  
Preventive And Personalized Medicine ◽  
The Relationship ◽  
And Personalized Medicine

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".

scholarly journals Personalized medicine: consequences for drug research and therapy

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Thorsten Ruppert ◽  
Sabine Sydow ◽  
Günter Stock
Keyword(s):  
Health Care ◽  
Personalized Medicine ◽  
Diagnostic Tests ◽  
Molecular Mechanisms ◽  
Drug Research ◽  
Treatment Success ◽  
Molecular Medicine ◽  
Patient Specific ◽  
New Paradigm ◽  
Specific Patient

In drug research, a serious transformation has taken place. With increasing knowledge gained from molecular medicine, it became possible to refine and develop new therapies based on the molecular mechanisms of diseases. Medicine and drug development have seen a paradigm shift which can be characterized with the catchword “personalized medicine”, also called “stratified medicine” or “precision medicine”. Personalized medicine is based on defined tandems of therapeutic agents and diagnostic tests. With this addition to the regular medical examination of the patient, specific patient characteristics are determined. The results of such diagnostic tests are then decisive for the choice of therapy or control of the effectiveness of the chosen treatment. The benefit of personalized medicine for the patient is the higher probability of treatment success as well as improved effectiveness and reduced / avoided side effects. Health insurance systems and the public may have the advantage that the health funds can be used more efficiently on this basis. This new paradigm requires also a new debate on the remuneration in health care. In order to bring personalized therapies to patients as quickly as possible, all players in health care should work together to address the challenges associated with personalized medicine.

scholarly journals Understanding the Regulation of Transcription in Mental Illness

OBM Genetics ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 1-1
Author(s):  
Sean J. O’Sullivan ◽  
◽  
Keyword(s):  
Mental Illness ◽  
Personalized Medicine ◽  
Single Cell ◽  
Chromatin Remodeling ◽  
Clinical Psychiatry ◽  
Translational Medicine ◽  
Underlying Mechanism ◽  
Regulation Of Transcription ◽  
And Personalized Medicine

Advances in clinical psychiatry have been less than hoped for relative to the achievements in neuroscience. However, developments in neuromodulation and psychedelic therapy are promising. The efficacy of such treatments and canonical pharmacotherapies benefit from genetics and personalized medicine. Moreover, recent studies on the perturbation of transcription, including chromatin remodeling, in mental illness emphasized the importance of single-cell qPCR as an investigatory method that bolstered psychiatry. This technique demonstrated chromatin remodeling as a biomarker for addiction and the underlying mechanism of depression. If personalized medicine, along with canonical and newer therapies, can mediate and regulate transcription, epidemics in depression and addiction can be mitigated. This motivates investigators to continue to use single-cell transcription measures in models of mental illness for translational medicine.

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