Results 261 to 270 of about 125,056 (333)

Superwarfarin Rodenticide Poisoning due to Consumption of Exotic Animals: A Case Report. [PDF]

open access: yesCase Rep Hematol
Sadek B   +6 more
europepmc   +1 more source

Safety and Efficacy of Anticoagulation Therapy in Paediatric Patients With Solid Tumours or Lymphomas at Risk of Thrombocytopenia: A Retrospective Study

open access: yesPediatric Blood &Cancer, Volume 73, Issue 2, February 2026.
ABSTRACT Background Patients with solid tumours or lymphomas have an increased risk of thromboembolism (TE) and thrombocytopenia. Evidence‐based strategies for anticoagulation therapy (ACT) for patients with thrombocytopenia are limited. We examined the impact of thrombocytopenia on ACT administration and bleeding incidence in children with solid ...
Andrés Felipe Fajardo   +5 more
wiley   +1 more source

Intestinal and multiple organ transplantation [PDF]

open access: yes, 1995
Abu-Elmagd, K   +6 more
core  

Choroid plexus alterations in long COVID and their associations with Alzheimer's disease risks

open access: yesAlzheimer's &Dementia, Volume 22, Issue 2, February 2026.
Abstract INTRODUCTION Choroid plexus (ChP) enlargement is a neuroimaging biomarker of neuroinflammation and neurodegeneration. However, evidence of ChP structural and perfusion alterations in long coronavirus disease (COVID) and their clinical relevance remains limited.
Huize Pang   +11 more
wiley   +1 more source

DPMAS in the Management of Severe Acute Liver Injury. [PDF]

open access: yesCase Reports Hepatol
Tavera Díaz MA   +3 more
europepmc   +1 more source

Machine learning methods for predicting adverse drug events: A systematic review

open access: yesBritish Journal of Clinical Pharmacology, Volume 92, Issue 2, Page 422-444, February 2026.
Abstract Predicting adverse drug events (ADEs) in outpatient settings is crucial for improving medication safety, identifying high‐risk patients and reducing health‐care costs. While traditional methods struggle with the complexity of health‐care data, machine learning (ML) models offer improved prediction capabilities; however, their effectiveness in ...
Niaz Chalabianloo   +8 more
wiley   +1 more source

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