Publications by authors named "J J Lambert"

Background: Alzheimer's disease (AD) is a complex disorder with a strong genetic component, yet many genetic risk factors remain unknown. Integrating genome-wide association studies (GWAS) and high-throughput proteomic platforms is a useful strategy to evaluate protein quantitative trait loci (pQTLs) and to detect candidate genes and pathways involved in AD. Due to the novelty of these techniques, the identification of reliable protein measures through a comprehensive quality control is mandatory.

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Matrix metallopeptidase 9 (MMP9) is a secreted zinc-dependent peptidase known for extracellular remodeling. MMP9 is elevated in tissues from women experiencing preterm labor, and previous research has shown that the addition of combined matrix metallopeptidases 2 and 9 (MMP2/9) enhances uterine contractions. We hypothesized that adding MMP9 alone would enhance myometrial contractions and that specific MMP9 inhibition would suppress uterine contractions.

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Introduction: Real-life data on the long-term use of a maintenance immunosuppressive protocol in heart transplant patients using delayed Everolimus + Tacrolimus are scarce.

Methods: This is a retrospective study that included all heart transplant patients from 2011 to 2021 in two Spanish hospitals. In Hospital A, the preferred immunosuppressive strategy included Everolimus initiation at 2 months post-transplant combined with Tacrolimus and was compared with the results of Hospital B, where a standard Tacrolimus and Mycophenolate mofetil protocol was used.

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High-energy nuclear collisions create a quark-gluon plasma, whose initial condition and subsequent expansion vary from event to event, impacting the distribution of the eventwise average transverse momentum [P([p_{T}])]. Disentangling the contributions from fluctuations in the nuclear overlap size (geometrical component) and other sources at a fixed size (intrinsic component) remains a challenge. This problem is addressed by measuring the mean, variance, and skewness of P([p_{T}]) in ^{208}Pb+^{208}Pb and ^{129}Xe+^{129}Xe collisions at sqrt[s_{NN}]=5.

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Article Synopsis
  • AI and mixed reality (MR) are changing healthcare by improving patient care and medical education through technology and human-computer interaction (HCI).
  • AI-driven virtual therapists offer personalized, remote mental health support, while MR allows patients to confront fears in safe, virtual environments.
  • Clinical training benefits from adaptive, immersive tools that provide hands-on practice in high-pressure scenarios, emphasizing the need for ethical considerations like data security as these technologies become more integrated into healthcare.
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