Novel and Proven Models of Public, Private, and Public-Private Partnerships in Healthcare: An Update.

Handb Exp Pharmacol

Sanofi-Aventis, Frankfurt, Germany.

Published: November 2024

Initiatives to share assets in the life science sector through dedicated partnerships had and still have a multitude of different aspects in the past few decades. The range goes from industry partners, small and big companies, in bilateral agreements with academic institutions up to large privately and publicly funded consortia. In general, the term public-private partnership (PPP) is used when at least one public (non-profit, academic, and/or government) part and one or more private for-profit partners are involved. A Public-Private Partnership is often driven by a public body, i.e. a ministry or a public agency. Their synergism has been described 10 years ago (Dearing, Science 315(19):344-347, 2007; Casty and Wieman, Ther Innov Regul Sci 47(3):375-383, 2013; Stevens et al., Biotechnol Law Rep 34(4):153-165, 2015). So why view this synergism again today? It will be shown that the situation in life science has changed: novel partners acting digital, data expertise being involved on many levels and novel partnering models arising. Success and challenges will be described in this chapter.

Download full-text PDF

Source
http://dx.doi.org/10.1007/164_2024_724DOI Listing

Publication Analysis

Top Keywords

life science
8
public-private partnership
8
novel proven
4
proven models
4
public
4
models public
4
public private
4
private public-private
4
public-private partnerships
4
partnerships healthcare
4

Similar Publications

Background: Preeclampsia (PE) is characterized as de novo hypertension (HTN) with end-organ damage, especially in the brain. PE is hypothesized to be caused by placental ischemia. PE affects ~5-8% of USA pregnancies and increases the risk for HTN and cerebrovascular diseases (CVD) later in life.

View Article and Find Full Text PDF

Fetal cardiac function in pregnancy affected by congenital heart disease: protocol for a multicentre prospective cohort study.

BMC Pregnancy Childbirth

January 2025

Royal Hospital for Women and UNSW, School of Clinical Medicine, Level 0, Royal Hospital for Women, Barker Street (Locked Bag 2000), Sydney, NSW, 2031, Australia.

Background: Congenital heart disease (CHD) is the most common fetal malformation, and it can result first in cardiac remodeling and dysfunction and later in cardiac failure and hydrops. A limited number of studies have evaluated cardiac function in fetuses affected by CHD. Functional parameters could potentially identify fetuses at risk of cardiac failure before its development.

View Article and Find Full Text PDF

Background: Growing evidence shows that dysregulated metabolic intrauterine environments can affect offspring's neurodevelopment and behaviour. However, the results of individual cohort studies have been inconsistent. We aimed to investigate the association between maternal diabetes before pregnancy and gestational diabetes mellitus (GDM) with neurodevelopmental, cognitive and behavioural outcomes in children.

View Article and Find Full Text PDF

Previous studies have suggested that systemic viral infections may increase risks of dementia. Whether this holds true for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus infections is unknown. Determining this is important for anticipating the potential future incidence of dementia.

View Article and Find Full Text PDF

Pediatric obesity and the risk of multiple sclerosis: a nationwide prospective cohort study.

Int J Obes (Lond)

January 2025

Division of Pediatrics, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, S-141 57, Huddinge, Sweden.

Background: Emerging evidence implies a link between high pediatric body mass index (BMI) and an increased risk of multiple sclerosis (MS). However, previous research suggests this association is only present for adolescent obesity and not childhood obesity. The present study aimed to assess the association between pediatric obesity and risk of developing MS, and to investigate if degree of obesity and age at obesity treatment initiation affects the risk.

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!