A PHP Error was encountered

Severity: Warning

Message: fopen(/var/lib/php/sessions/ci_session5i9pv0vp6cqglg1vnel31ve25r624o7j): Failed to open stream: No space left on device

Filename: drivers/Session_files_driver.php

Line Number: 177

Backtrace:

File: /var/www/html/index.php
Line: 316
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: session_start(): Failed to read session data: user (path: /var/lib/php/sessions)

Filename: Session/Session.php

Line Number: 137

Backtrace:

File: /var/www/html/index.php
Line: 316
Function: require_once

Precision medicine and public health interventions: tuberculosis as a model? | LitMetric

Download full-text PDF

Source
http://dx.doi.org/10.1016/S2468-2667(19)30130-6DOI Listing

Publication Analysis

Top Keywords

precision medicine
4
medicine public
4
public health
4
health interventions
4
interventions tuberculosis
4
tuberculosis model?
4
precision
1
public
1
health
1
interventions
1

Similar Publications

Orchestrated desaturation reprogramming from stearoyl-CoA desaturase to fatty acid desaturase 2 in cancer epithelial-mesenchymal transition and metastasis.

Cancer Commun (Lond)

December 2024

Department of Biomedical Engineering, Department of Electrical and Computer Engineering, Photonics Center, Boston University, Boston, Massachusetts, USA.

Background: Adaptative desaturation in fatty acid (FA) is an emerging hallmark of cancer metabolic plasticity. Desaturases such as stearoyl-CoA desaturase (SCD) and fatty acid desaturase 2 (FADS2) have been implicated in multiple cancers, and their dominant and compensatory effects have recently been highlighted. However, how tumors initiate and sustain their self-sufficient FA desaturation to maintain phenotypic transition remains elusive.

View Article and Find Full Text PDF

Background: The utilization of PD1 and CTLA4 inhibitors has revolutionized the treatment of malignant melanoma (MM). However, resistance to targeted and immune-checkpoint-based therapies still poses a significant problem.

Objective: Here, we mine large-scale MM proteogenomic data to identify druggable targets and forecast treatment efficacy and resistance.

View Article and Find Full Text PDF

Introduction: Low back pain (LBP) is a significant global health burden, with variable treatment outcomes and an unclear underlying molecular mechanism. Effective prediction of treatment responses remains a challenge. In this study, we aimed to develop gene signature-based machine learning models using transcriptomic data from peripheral immune cells to predict treatment outcomes in patients with LBP.

View Article and Find Full Text PDF

Background: Sepsis is the result of a dysregulated immune response to infection and is associated with acute organ dysfunction. The syndrome's complexity is contingent upon the underlying pathology and individual patient characteristics, including their immune response. The involvement of multiple organs and physiological functions adds complexity, with "organ cross-talk" emerging as a pivotal pathophysiological and clinical aspect.

View Article and Find Full Text PDF

Objectives: The enormous burden that cardiovascular diseases put on individuals and societies warrants reliable biomarkers of disease risk to optimize disease prevention. We studied longitudinal movement (LMov) in arterial walls using ultrasound of the common carotid artery (CCA). We believe that LMov could be a sensitive biomarker of cardiovascular health and in this study, we evaluate the intra-observer repeatability and inter-observer precision of our method.

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!