Results 111 to 120 of about 447,619 (420)

Aspirin induces cell death and caspase-dependent phosphatidylserine externalization in HT-29 human colon adenocarcinoma cells [PDF]

open access: yes, 2020
The induction of cell death by aspirin was analysed in HT-29 colon carcinoma cells. Aspirin induced two hallmarks of apoptosis: nuclear chromatin condensation and increase in phosphatidylserine externalization.
AA Beg   +52 more
core   +2 more sources

Acceptability of aspirin for cancer preventive therapy: a survey and qualitative study exploring the views of the UK general population. [PDF]

open access: yes, 2023
OBJECTIVES: Aspirin could be offered for colorectal cancer prevention for the UK general population. To ensure the views of the general population are considered in future guidance, we explored public perceptions of aspirin for preventive therapy. DESIGN:
Aspirin for Cancer Prevention AsCaP Steering Committee   +8 more
core   +1 more source

Calcium modulating ligand confers risk for Parkinson's disease and impacts lysosomes

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
Abstract Objective Several genetic loci known to confer risk for Parkinson's disease (PD) function in lysosomal pathways. We systematically screened common variants linked to PD risk by genome‐wide association studies (GWAS) for impact on cerebrospinal fluid (CSF) proteins reflecting lysosomal function.
Hanwen Zhang   +16 more
wiley   +1 more source

No Headache for PIPs: A PIP Potential for Aspirin Outperforms Other Machine-Learned Potentials [PDF]

open access: yesJ. Chem. Theory Comput. 2024
Assessments of machine-learned (ML) potentials are an important aspect of the rapid development of this field. We recently reported an assessment of the linear-regression permutationally invariant polynomial (PIP) method for ethanol, using the widely used (revised) MD17 dataset. We demonstrated that the PIP approach outperformed numerous other methods,
arxiv   +1 more source

Incremental Intervention Effects in Studies with Dropout and Many Timepoints [PDF]

open access: yesJournal of Causal Inference, vol. 9, no. 1, 2021, pp. 302-344, 2019
Modern longitudinal studies collect feature data at many timepoints, often of the same order of sample size. Such studies are typically affected by {dropout} and positivity violations. We tackle these problems by generalizing effects of recent incremental interventions (which shift propensity scores rather than set treatment values deterministically ...
arxiv   +1 more source

Apixaban Enhances Endogenous Fibrinolysis in Patients with Atrial Fibrillation [PDF]

open access: yes, 2019
© The Author(s) 2019. Published by Oxford University Press on behalf of the European Society of Cardiology.AIMS: Approximately 20% of ischaemic stroke patients exhibit spontaneous arterial recanalization, attributable to endogenous fibrinolysis, which ...
Arachchillage, Deepa RJ   +7 more
core   +2 more sources

Aspirin or Rivaroxaban for VTE Prophylaxis after Hip or Knee Arthroplasty

open access: yesNew England Journal of Medicine, 2018
Background Clinical trials and meta‐analyses have suggested that aspirin may be effective for the prevention of venous thromboembolism (proximal deep‐vein thrombosis or pulmonary embolism) after total hip or total knee arthroplasty, but comparisons with ...
D. Anderson   +26 more
semanticscholar   +1 more source

Assessment of concurrent neoplasms and a paraneoplastic association in MOGAD

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
Abstract Cases of myelin oligodendrocyte glycoprotein (MOG) antibody‐associated disease (MOGAD) co‐occurring with neoplasms have been reported. In this international, retrospective cohort study in South Korea and the USA, 16 of 445 (3.6%) patients with MOGAD had concurrent neoplasm within 2 years of MOGAD onset, resulting in a standardized incidence ...
Young Nam Kwon   +24 more
wiley   +1 more source

Gaussian Processes with Spectral Delta kernel for higher accurate Potential Energy surfaces for large molecules [PDF]

open access: yesarXiv, 2021
The interpolation of high-dimensional potential energy surfaces (PESs) is commonly done with physically-inspired deep-neural network models. In this work, we illustrate that Gaussian Processes (GPs) are also capable of interpolating high-dimensional complex physical systems.
arxiv  

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