AIMC Topic: Immunosuppressive Agents
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Artificial neural network and bioavailability of the immunosuppression drug.
Current opinion in organ transplantation
Aug 1, 2020
PURPOSE OF REVIEW: The success of organ transplant is determined by number of demographic, clinical, immunological and genetic variables. Artificial intelligence tools, such as artificial neural networks (ANNs) or classification and regression trees ...
The Association Between Arthralgia and Vedolizumab Using Natural Language Processing.
Inflammatory bowel diseases
Sep 15, 2018
BACKGROUND: The gut-selective nature of vedolizumab has raised questions regarding increased joint pain or arthralgia with its use in inflammatory bowel disease (IBD) patients. As arthralgias are seldom coded and thus difficult to study, few studies ...
Pharmacokinetic Therapeutic Drug Monitoring of Advagraf in More Than 500 Adult Renal Transplant Patients, Using an Expert System Online.
Therapeutic drug monitoring
Jun 1, 2018
BACKGROUND: Immunosuppressant Bayesian dose adjustment (ISBA) is an online expert system, routinely used by approximately 140 transplantation centers in the world for the dose adjustment of immunosuppressive drugs in transplant patients. This system ...
Predicting Hospitalization and Outpatient Corticosteroid Use in Inflammatory Bowel Disease Patients Using Machine Learning.
Inflammatory bowel diseases
Dec 19, 2017
BACKGROUND: Inflammatory bowel disease (IBD) is a chronic disease characterized by unpredictable episodes of flares and periods of remission. Tools that accurately predict disease course would substantially aid therapeutic decision-making. This study...
Course of hepatitis E infection in a patient with rheumatoid arthritis and autoimmune hepatitis: A case report.
Medicine
Dec 1, 2017
RATIONALE: A 62-year-old male patient was admitted to our clinic in February 2016 with persistently elevated liver enzymes.
Serum 25-hydroxyvitamin D levels in patients with Granulomatosis with Polyangiitis: association with respiratory infection.
Clinics (Sao Paulo, Brazil)
Dec 1, 2017
OBJECTIVES: To determine the possible association of serum 25-hydroxyvitamin D (25OHD) levels with disease activity and respiratory infection in granulomatosis with polyangiitis patients during two different periods: winter/spring and summer/autumn.
Predictable response: Finding optimal drugs and doses using artificial intelligence.
Nature medicine
Nov 7, 2017
Machine Learning Algorithms for Objective Remission and Clinical Outcomes with Thiopurines.
Journal of Crohn's & colitis
Jul 1, 2017
BACKGROUND AND AIMS: Big data analytics leverage patterns in data to harvest valuable information, but are rarely implemented in clinical care. Optimising thiopurine therapy for inflammatory bowel disease [IBD] has proved difficult. Current methods u...
Area Under Curve
Remission Induction
Drug Prescriptions
Azathioprine
Medication Adherence
ROC Curve
Treatment Outcome
Immunosuppressive Agents
Mercaptopurine
Retrospective Studies
Female
Hospitalization
Young Adult
Adult
Male
Middle Aged
Humans
Adolescent
Machine Learning
Algorithms
Inflammatory Bowel Diseases
Prevalence of cytomegalovirus disease in kidney transplant patients in an intensive care unit.
Revista Brasileira de terapia intensiva
Jan 1, 2017
OBJECTIVES: To define the frequency of cytomegalovirus disease among kidney transplant patients in an intensive care unit in which this complication was suspected and to identify predisposing factors and their possible impact on clinical outcome.
Rapamycin inhibits transforming growth factor beta 1 induced myofibroblast differentiation via the phosphorylated-phosphatidylinositol 3-kinase mammalian target of rapamycin signal pathways in nasal polyp-derived fibroblasts.
American journal of rhinology & allergy
Nov 1, 2016
PURPOSE: Rapamycin has antiproliferative and antifibrogenic effects in vitro and in vivo. The purpose of this study was to evaluate the effects of rapamycin on transforming growth factor (TGF) beta 1 induced myofibroblast differentiation (alpha smoot...
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