Results 21 to 30 of about 910,740 (223)
Are extravasation injuries “Negligence”?
Indian Journal of Health Sciences and Biomedical Research KLEU, 2016 Recent High Court and Supreme Court judgments have awarded large compensations for complications arising out of intravenous treatment. Extravasation of fluids and drugs is the most common complication of any medical procedure worldwide.
Neeraj Nagpal, Nimisha Nagpal
doaj +1 more source
Intravenous immunoglobulins for epilepsy [PDF]
Cochrane Database of Systematic Reviews, 2010 Epilepsy is a common neurological condition, with an estimated incidence of 50 per 100,000 persons. People with epilepsy may present with various types of immunological abnormalities, such as low serum immunoglobulin A (IgA) levels, lack of the immunoglobulin G (IgG) subclass and identification of certain types of antibodies. Intravenous immunoglobulin
JinSong Geng +6 more
openaire +6 more sources
Reperfusion Therapies of Acute Ischemic Stroke: potentials and failures
Frontiers in Neurology, 2014 Over the past twenty years clinical research has focused on the development of reperfusion therapies for acute ischemic stroke (AIS), which include the use of systemic intravenous thrombolytics (alteplase, desmoteplase or tenecteplase), the augmentation ...
Georgios eTsivgoulis +3 more
doaj +1 more source
Ketorolac vs. tramadol for pain management after abdominal surgery in children
Paediatrica Indonesiana, 2014 Background Tramadol is a pure analgesic widely used for postoperative treatment and well tolerated by children. Howevet; it has only a 50% efficacy.
Iman Hendarman +3 more
doaj +1 more source
A Deep Neural Network -- Mechanistic Hybrid Model to Predict Pharmacokinetics in Rat [PDF]
arXiv, 2023 An important aspect in the development of small molecules as drugs or agro-chemicals is their systemic availability after intravenous and oral administration. The prediction of the systemic availability from the chemical structure of a potential candidate is highly desirable, as it allows to focus the drug or agrochemical development on compounds with ...
arxiv
Unifying Cardiovascular Modelling with Deep Reinforcement Learning for Uncertainty Aware Control of Sepsis Treatment [PDF]
, 2021 Sepsis is a potentially life threatening inflammatory response to infection or severe tissue damage. It has a highly variable clinical course, requiring constant monitoring of the patient's state to guide the management of intravenous fluids and vasopressors, among other interventions.
arxiv +1 more source
Biosensors, 2018 We present an animal model used to evaluate the in vivo performance of electrochemical amperometric continuous lactate sensors compared to blood gas instruments.
Alexander Wolf +8 more
doaj +1 more source
Role of Ligand Conformation on Nanoparticle-Protein Interactions [PDF]
, 2019 Engineered biomedical nanoparticles (NP) administered via intravenous routes are prone to associate to serum proteins. The protein corona can mask the NP surface functionalization and hamper the delivery of the NP to its biological target. The design of corona-free NPs relies on our understanding of the chemical-physical features of the NP surface ...
arxiv +1 more source
Deep learning-based detection of intravenous contrast in computed tomography scans [PDF]
arXiv, 2021 Purpose: Identifying intravenous (IV) contrast use within CT scans is a key component of data curation for model development and testing. Currently, IV contrast is poorly documented in imaging metadata and necessitates manual correction and annotation by clinician experts, presenting a major barrier to imaging analyses and algorithm deployment.
arxiv
Frontiers in PharmacologyCognitive impairments following post-stroke significantly hinder neurological recovery and exacerbate patient morbidity, underscoring urgent need for effective therapeutic strategies. Vortioxetine (VTX), a prominent Selective Serotonin Reuptake Inhibitor
Ziqiang Dong +10 more
doaj +1 more source