Publications by authors named "H S Lam"

The utilization of artificial intelligence (AI) in gastrointestinal (GI) endoscopy has witnessed significant progress and promising results in recent years worldwide. From 2019 to 2023, the European Society of Gastrointestinal Endoscopy has released multiple guidelines/consensus with recommendations on integrating AI for detecting and classifying lesions in practical endoscopy. In Vietnam, since 2019, several preliminary studies have been conducted to develop AI algorithms for GI endoscopy, focusing on lesion detection.

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Background: Although oral anticoagulation decreases the risk of thromboembolism in patients with atrial fibrillation (AF), a residual risk of thrombotic events still exists. This study aimed to construct machine learning (ML) models to predict the residual risk in these patients.

Methods: Patients with newly diagnosed non-valvular AF were collected from the Global Registry on Long-Term Oral Anti-Thrombotic Treatment in Patients with Atrial Fibrillation (GLORIA-AF) registry.

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Article Synopsis
  • - The study investigates how bromoform (CHBr) behaves when exposed to near-infrared (NIR) light, focusing on its breakdown and isomerization in cationic states through advanced imaging techniques.
  • - It is observed that the dissociation process, particularly when forming HBr and Br fragments, occurs with a delay compared to the faster breakdown of the C-Br bond.
  • - Molecular dynamics simulations indicate that this delay results from temporary isomerization processes involving H- and Br-migrations before the final fragments are produced.
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  • *This process involves global DNA hypomethylation and alterations in histone modifications, which impact gene regulation.
  • *A DNA methyltransferase inhibitor can mimic the benefits of priming, indicating that reducing DNA methylation enhances salt tolerance in non-primed seedlings.
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