Toward achieving precision health.

Sci Transl Med

Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA 94305, USA.

Published: February 2018

Health care systems primarily focus on patients after they present with disease, not before. The emerging field of precision health encourages disease prevention and earlier detection by monitoring health and disease based on an individual's risk. Active participation in health care can be encouraged with continuous health-monitoring devices, providing a higher-resolution picture of human health and disease. However, the development of monitoring technologies must prioritize the collection of actionable data and long-term user engagement.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5985668PMC
http://dx.doi.org/10.1126/scitranslmed.aao3612DOI Listing

Publication Analysis

Top Keywords

precision health
8
health care
8
health disease
8
health
6
achieving precision
4
health health
4
care systems
4
systems focus
4
focus patients
4
disease
4

Similar Publications

Topical transdermal drug delivery for psoriasis remains a challenge because of the poor solubility of hydrophobic drugs and the limited penetration of the stratum corneum. In this study, a near-infrared (NIR) light-responsive thermosensitive hydrogel (PDLLA-PEG-PDLLA, PLEL)-based drug reservoir is developed that directly incorporated gold nanorods (GNRs) and methotrexate (MTX) in the sol state at low temperature, which is referred to as PLEL@GNR+MTX. The in vitro anti-psoriasis experiment indicated that, GNRs, as photothermal cores of composite hydrogel, not only triggered keratinocyte apoptosis but also promoted MTX release in a synergistic manner.

View Article and Find Full Text PDF

Background The synthetic opioid tramadol is widely used as a pain reliever. Unlike other opioids, it is used freely worldwide, unaffected by international controls resulting in abuse and accidental intoxication. Analytical methods are necessary to prove tramadol abuse because 30% of the drug is excreted unchanged.

View Article and Find Full Text PDF

Introduction Artificial intelligence (AI)-powered tools are increasingly integrated into healthcare. The purpose of the present study was to compare fracture management plans generated by clinicians to those obtained from ChatGPT (OpenAI, San Francisco, CA) and Google Gemini (Google, Inc., Mountain View, CA).

View Article and Find Full Text PDF

This paper investigates the potential of artificial intelligence (AI) and machine learning (ML) to enhance the differentiation of cystic lesions in the sellar region, such as pituitary adenomas, Rathke cleft cysts (RCCs) and craniopharyngiomas (CP), through the use of advanced neuroimaging techniques, particularly magnetic resonance imaging (MRI). The goal is to explore how AI-driven models, including convolutional neural networks (CNNs), deep learning, and ensemble methods, can overcome the limitations of traditional diagnostic approaches, providing more accurate and early differentiation of these lesions. The review incorporates findings from critical studies, such as using the Open Access Series of Imaging Studies (OASIS) dataset (Kaggle, San Francisco, USA) for MRI-based brain research, highlighting the significance of statistical rigor and automated segmentation in developing reliable AI models.

View Article and Find Full Text PDF

Prostate cancer (PCa) has high prevalence rates in men and is a leading cause of cancer-related death. Transrectal (TR) biopsy has traditionally been the gold standard for diagnosis, but transperineal (TP) biopsy is increasingly favoured due to its lower infection risk. However, debate remains regarding which method has superior cancer detection rates.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!