108,610 results match your criteria: "Imperial College & Royal Brompton & Harefield Hospital NHS Foundation Trust[Affiliation]"

Hidden Threat in Turbid Waters: Quantifying and Modeling the Bioaccumulation and Risks of Particulate Metals to Clams.

Environ Pollut

January 2025

Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, State Key Lab of Marine Environmental Science, College of the Environment and Ecology, Xiamen University, Xiamen, Fujian 361102, China. Electronic address:

A major proportion of metal contaminants in aquatic environments is bound to suspended particulate matter (SPM), yet environmental monitoring typically focuses on dissolved metals, with the filtration step removing SPM. This step may inadvertently hide the potential risks posed by particulate metals. In this study, we used stable isotope tracers to quantify the contributions of SPM-bound metals to the bioaccumulation of nickel (Ni), copper (Cu), zinc (Zn), cadmium (Cd), and lead (Pb) in Ruditapes philippinarum, a widely distributed clam crucial to global aquaculture.

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Introduction: Pulmonary high-grade neuroendocrine carcinoma (NEC) includes small cell lung carcinoma (SCLC) and large cell neuroendocrine carcinoma (LCNEC). The seventh and eighth editions of the TNM classification for lung cancer confirmed the applicability of this staging system for SCLC. With the proposal of N2 and M1c subcategories for the ninth edition classification, we assessed the applicability to NECs.

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Encorafenib + cetuximab (EC) is approved for previously treated BRAF V600E-mutant metastatic colorectal cancer (mCRC) based on the BEACON phase 3 study. Historically, first-line treatment of BRAF V600E-mutant mCRC with chemotherapy regimens has had limited efficacy. The phase 3 BREAKWATER study investigated EC+mFOLFOX6 versus standard of care (SOC) in patients with previously untreated BRAF V600E mCRC.

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Patient and public involvement and engagement to improve impact on antimicrobial resistance.

Nat Commun

January 2025

Fleming Initiative, Institute for Global Health Innovation, Imperial College London, South Kensington Campus, London, UK.

A step change is required in citizen awareness of the global antimicrobial resistance (AMR) health crisis. But we must move beyond awareness-raising to action, directly engaging and involving patients and public in scoping, testing and scaling solutions to ensure their adoption and impact.

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Impact of SARS-CoV-2 spike antibody positivity on infection and hospitalisation rates in immunosuppressed populations during the omicron period: the MELODY study.

Lancet

January 2025

Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College London, London, UK; Imperial College Renal and Transplant Centre, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, UK. Electronic address:

Background: In the UK, booster COVID-19 vaccinations have been recommended biannually to people considered immune vulnerable. We investigated, at a population level, whether the absence of detectable anti-SARS-CoV-2 spike protein IgG antibody (anti-S Ab) following three or more vaccinations in immunosuppressed individuals was associated with greater risks of infection and severity of infection.

Methods: In this prospective cohort study using UK national disease registers, we recruited participants with solid organ transplants (SOTs), rare autoimmune rheumatic diseases (RAIRDs), and lymphoid malignancies.

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Background: Clinical predictors of treatment-resistant depression could improve treatment strategies. Depressive symptom profiles at baseline are potential outcome predictors, but little evidence is available, and sex-specific profiles have been scarcely investigated.

Methods: Baseline symptom scores of 1294 patients with major depressive disorder were assessed by the Montgomery-Åsberg depression rating scale (MADRS) as part of a multicenter study by the "Group for the Studies of Resistant Depression".

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MetAssimulo 2.0: a web app for simulating realistic 1D & 2D Metabolomic 1H NMR spectra.

Bioinformatics

January 2025

Section of Bioinformatics, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, W12 0NN, United Kingdom.

Unlabelled: Metabolomics extensively utilizes Nuclear Magnetic Resonance (NMR) spectroscopy due to its excellent reproducibility and high throughput. Both one-dimensional (1D) and two-dimensional (2D) NMR spectra provide crucial information for metabolite annotation and quantification, yet present complex overlapping patterns which may require sophisticated machine learning algorithms to decipher. Unfortunately, the limited availability of labeled spectra can hamper application of machine learning, especially deep learning algorithms which require large amounts of labelled data.

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How Outcome Prediction Could Aid Clinical Practice.

Br J Hosp Med (Lond)

January 2025

Department of Surgery & Cancer, Imperial College London, London, UK.

Predictive algorithms have myriad potential clinical decision-making implications from prognostic counselling to improving clinical trial efficiency. Large observational (or "real world") cohorts are a common data source for the development and evaluation of such tools. There is significant optimism regarding the benefits and use cases for risk-based care, but there is a notable disparity between the volume of clinical prediction models published and implementation into healthcare systems that drive and realise patient benefit.

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Should All Doctors Undergo Mandatory Life Support Training?

Br J Hosp Med (Lond)

January 2025

Chemical Pathology and Metabolic Medicine, The Lister Hospital, Stevenage, UK.

Advanced life support certification has traditionally been the gold standard of resuscitation training for doctors and has been shown to improve outcomes from cardiac arrest. In 2021, Health Education England removed named courses from mandatory Foundational Programme competencies, which has resulted in capping of reimbursement and reduced access to courses. This represents a drop in educational standards which is particularly concerning when the medical school curriculum has been shown to deliver inconsistent, poor-quality resuscitation training.

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The advent of once-weekly insulin icodec is a promising development in the care of individuals with diabetes. These once-weekly formulations aimed to improve patient adherence and quality of life for patients who find daily injection administration challenging. Insulin icodec has demonstrated comparable glycemic control to conventionally used daily basal insulins, such as insulin glargine and degludec, in the ONWARDS clinical trials.

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CXCL-10 in Cerebrospinal Fluid Detects Neuroinflammation in HTLV-1-Associated Myelopathy with High Accuracy.

Viruses

January 2025

Programa de Pós-Graduação em Doenças Infecciosas e Parasitárias, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-913, Brazil.

Background And Objectives: HTLV-1-associated myelopathy (HAM) is a chronic progressive inflammatory disease of the spinal cord. This study assesses the diagnostic accuracy of the neuroinflammatory biomarkers neopterin and cysteine-X-cysteine motif chemokine ligand 10 (CXCL-10) in cerebrospinal fluid (CSF) for HAM.

Methods: CSF samples from 75 patients with neurological disorders-33 with HAM (Group A), 19 HTLV-1-seronegative with other neuroinflammatory diseases (Group B), and 23 HTLV-1-seronegative with non-neuroinflammatory diseases (Group C)-were retrospectively evaluated.

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infections continue to pose a significant global health challenge, particularly due to the rise of multidrug-resistant strains, random mycobacterial mutations, and the complications associated with short-term antibiotic regimens. Currently, five approved drugs target cell wall biosynthesis in . This review provides a comprehensive analysis of these drugs and their molecular mechanisms.

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A generative adversarial network (GAN) makes it possible to map a data sample from one domain to another one. It has extensively been employed in image-to-image and text-to image translation. We propose an EEG-to-EEG translation model to map the scalp-mounted EEG (scEEG) sensor signals to intracranial EEG (iEEG) sensor signals recorded by foramen ovale sensors inserted into the brain.

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Application of Additive Manufacturing and Deep Learning in Exercise State Discrimination.

Sensors (Basel)

January 2025

Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China.

With the rapid development of sports technology, smart wearable devices play a crucial role in athletic training and health management. Sports fatigue is a key factor affecting athletic performance. Using smart wearable devices to detect the onset of fatigue can optimize training, prevent excessive fatigue and resultant injury, and increase efficiency and safety.

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Field implementations of fully underground sensor networks face many practical challenges that have limited their overall adoption. Power management is a commonly cited issue, as operators are required to either repeatedly excavate batteries for recharging or develop complex underground power infrastructures. Prior works have proposed wireless inductive power transfer (IPT) as a potential solution to these power management issues, but misalignment is a persistent issue in IPT systems, particularly in applications involving moving vehicles or obscured (e.

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Our understanding of the impact of aortic valve stenosis (AS) on patient outcomes irrespective of its severity has changed since the advent of populational databases on AS following the landmark publication by Ross and Braunwald in 1968 [...

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: The video head impulse test is a landmark in vestibular diagnostic methods to assess the high-frequency semicircular canal system. This test is well established in the adult population with immense research since its discovery. The usefulness and feasibility of the test in children is not very well defined, as research has been limited.

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Heart Failure (HF) is a prevalent condition which places a substantial burden on healthcare systems worldwide. Medical management implemented with exercise training (ET) plays a role in prognostic and functional capacity improvement. The aim of this review is to determine the effect of exercise training (ET) on HFpEF and HFrEF patients as well as exercise modality recommendations in frail and sarcopenic subpopulations.

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This study investigates the efficacy of polyacrylamide-based polymers, specifically hydrolysed polyacrylamide (HPAM), in reducing solids production within carbonate reservoirs. Building on our earlier simulation approach, molecular simulations were conducted to examine how these polymers adsorb onto calcite, the main mineral found in carbonate formations. The adsorption process was affected by several factors, including polymer molecular weight, charge density, temperature, and salinity.

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Background: Stroke volume index (SVI) is an important prognostic parameter in pulmonary arterial hypertension (PAH). The direct Fick (DF) method represents the gold standard for measuring it. Indirect Fick (IF) and thermodilution (TD) are simpler and widely used alternatives.

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According to World Health Organization (WHO) data, 16% of people are affected by infertility across the globe. One underlying factor is the age-related decline of ovarian reserve (DOR), which can lead to a higher chance of infertility and has no widely accepted treatment currently. Specific supplements and moderate exercise have been shown to improve fertility; however, there is no consensus to date on the type of exercise providing the best results.

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The lesser grain borer, (F.) (Coleoptera: Bostrichidae) and khapra beetle, E. (Coleoptera: Dermestidae) are primary stored-grain insect pests.

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Particulate matter (PM) is a major component of ambient air pollution. PM exposure is linked to numerous adverse health effects, including chronic lung diseases. Air quality guidelines designed to regulate levels of ambient PM are currently based on the mass concentration of different particle sizes, independent of their origin and chemical composition.

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The efficient mixing of fluids at microscale dimensions presents challenges due to the dominant laminar flow regime which restricts convective mixing. This study introduces a numerical analysis of a novel microrobotic mixing system with a levitated propeller robot, driven by magnetic fields, within a Y-shaped microchannel with a square cross-section (500 × 500 μm). Our research investigates the fluid mixing effectiveness facilitated by the microrobot through various levitation heights and orientations to enhance the mixing index (MI).

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