AIMC Topic: Precision Medicine

Clear Filters Showing 661 to 670 of 1233 articles

Personalized treatment for coronary artery disease patients: a machine learning approach.

Health care management science
Current clinical practice guidelines for managing Coronary Artery Disease (CAD) account for general cardiovascular risk factors. However, they do not present a framework that considers personalized patient-specific characteristics. Using the electron...

Translational biomarkers in the era of precision medicine.

Advances in clinical chemistry
In this chapter we discuss the past, present and future of clinical biomarker development. We explore the advent of new technologies, paving the way in which health, medicine and disease is understood. This review includes the identification of physi...

[Big Data, AI and Machine Learning for Precision Psychiatry: How are they changing the clinical practice?].

Fortschritte der Neurologie-Psychiatrie
Currently, we are witnessing an increasing interest in predictive models and personalized diagnosis and treatment choice in psychiatric research. Against this background, the emerging field of Precision Psychiatry is trying to establish precise diagn...

Reinforcement learning for intelligent healthcare applications: A survey.

Artificial intelligence in medicine
Discovering new treatments and personalizing existing ones is one of the major goals of modern clinical research. In the last decade, Artificial Intelligence (AI) has enabled the realization of advanced intelligent systems able to learn about clinica...

Artificial Intelligence Effecting a Paradigm Shift in Drug Development.

SLAS technology
The inverse relationship between the cost of drug development and the successful integration of drugs into the market has resulted in the need for innovative solutions to overcome this burgeoning problem. This problem could be attributed to several f...

Time to reality check the promises of machine learning-powered precision medicine.

The Lancet. Digital health
Machine learning methods, combined with large electronic health databases, could enable a personalised approach to medicine through improved diagnosis and prediction of individual responses to therapies. If successful, this strategy would represent a...

Modelling kidney disease using ontology: insights from the Kidney Precision Medicine Project.

Nature reviews. Nephrology
An important need exists to better understand and stratify kidney disease according to its underlying pathophysiology in order to develop more precise and effective therapeutic agents. National collaborative efforts such as the Kidney Precision Medic...

Precision psychiatry in clinical practice.

International journal of psychiatry in clinical practice
The treatment of depression represents a major challenge for healthcare systems and choosing among the many available drugs without objective guidance criteria is an error-prone process. Recently, pharmacogenetic biomarkers entered in prescribing gui...