The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Many medical control devices used in case of critical patients have model predictive controllers (MPC). MPC estimate the drug level in the parts of patients body based on their human physiology model to either alarm the medical authority or change the drug infusion rate. This model prediction has to be completed before the drug infusion rate is changed i.e. every few seconds. Instead of mathematical...
Adverse drug reactions (ADRs) are a main cause of hospitalization and deaths worldwide. These unanticipated episodes are generally infrequent, but almost all existing ADR signaling techniques are designed to use dataset extracted from spontaneous reporting systems or employed a predefined type of information (e.g., drugs), which suffer from failures to detect unexpected and latent ADRs. In this paper,...
Cisapride as a prokinetic drug inhibits rapid delayed rectifier potassium channel current. As producing QT interval prolongation and causes fatal cardiac arrhythmias, it has been withdrawn from clinical uses. However, exact mechanisms for the proarrhythmic effects of cisapride are incompletely unclear. In this study, we implemented a biophysically detailed computational model of the heart to quantify...
Poor adherence to medical regimen causes approximately 33% to 69% of medication-related hospitalizations and accounts for $100 billion in annual health care costs. In this paper we address the problem of unintentional non adherence, when patient fails to take a medication due to forgetfulness or carelessness. We present the safe approach to software implementation of a portable reminder device with...
Thrombosis of ventricular assist devices is a significant complication compromising device efficacy with attendant risks of systemic embolization, stroke, pump stop and death. Presently anti-thrombotic therapy is utilized to mitigate thrombotic risk. Drugs such as aspirin and dipyridamole are largely dosed empirically, without individualized testing of efficacy in a given patient. To date testing...
Cloud computing establishes a new computing model where a wide range of computing resources are provided to several types of users. Especially for bioinformatics experiments modeled as scientific workflows, clouds provide several types of resources as virtual machines (VM), storage, databases and computing power that can be combined for empowering the scientific workflow execution. These workflows...
Background: Simvastatin is a HMG-CoA reductase Inhibitor and a substrate of CYP3A4. Clarithromycin is a commonly used macrolide antibiotics and a potent inhibitor of CYP3A4. When co-administered with simvastatin, clarithromycin can significantly increase simvastatin plasma concentration levels, thereby, increase the risk of rhabdomyolysis. At present, pharmacokinetic data of the interaction between...
The creation of personal and individualized anti-cancer treatments has been a major goal in the progression of cancer discovery as evident by the continuous research efforts in genetics and population based PK/PD studies. In this paper we use our clinical decision support tool, called ChemoDSS, to evaluate the effectiveness of three treatments recommended by the NCCN guidelines for ovarian cancer...
Background: Verapamil is a calcium channel blocker commonly used in treatments of hypertension. Verapamil and its active metabolite, norverapamil, are known to be CYP3A4 inhibitors. Co-administration of verapamil with CYP3A4 substrates can alter the pharmacokinetics of the substrates. Simvastatin, a commonly used HMG-CoA reductase inhibitor for the treatment of hypercholesterolemia is extensively...
Ontology Based DataBase (OBDB) is a database model that allows both ontologies, which is a formal representation of terms related to specific domain, and their instances to be stored and queried in a single database. In this paper, we propose the construction of OBDB for the development of medical system. The idea is to automatically construct OBDB using rules and used it in the construct of medical...
Background: Simvastatin, a commonly used HMG-CoA reductase inhibitor, is extensively metabolized by CYP3A4. Therefore, co-administration of simvastatin and CYP3A4 inhibitor can affect simvastatin pharmacokinetics. Nelfinavir, a protease inhibitor, and its major metabolite (M8) are known to be potent CYP3A4 inhibitors. When simvastatin and nelfinavir are co-administered, simvastatin pharmacokinetics...
Drug-drug interaction (DDI) study is an important aspect of therapy management and drug efficacy. DDI study investigates how drugs interact with each other and determine whether these interactions may lead to dire effects or nullify the therapeutic effects of each other. In this paper we model metabolic pathways of drugs that include the reaction effects between drugs and the related enzymes. By modeling...
This paper presents a control strategy for neuromuscular blockade (NMB) level, in order to determine the optimal time to initialize the administration of the muscle relaxant rocuronium by means of the continuous infusion of a constant dose. The constant value of muscle relaxant for a particular patient undergoing general anesthesia is computed in order to guarantee that the steady-state value of neuromuscular...
In this study, we investigated the relation between sample entropy (SampEn) of HRV series and the connected theoretical value (SETH), obtained for the autoregressive (AR) models fitted to the same sequences. AR models are commonly used for parametrical spectral analysis and classical HRV spectral parameters were considered as well. The analysis was performed on a subpopulation of the Rate Control...
Metallothioneins (MT) are a group of low-molecular weight, cysteine rich intracellular proteins, which are encoded by a family of genes containing at least 10 functional isoforms in human. This includes MT-I, MT-II, MT-III and MT-IV. The expression and induction of these proteins have been associated with protection against DNA damage, oxidative stress and apoptosis. A number of studies have shown...
As we know, in hospitals, the demand for drugs is unclear and change seasonal frequently. In medicine Providing a high level of service is needed. When there is a shortage in the local warehouse and we need to emergency deliver, emergency ordering is very costly and can be dangerous for the patient. Thus to minimum number of emergency orders and how much medication is needed for each location for...
QSAR (quantitative structure-activity relationship) modeling is one of the well developed areas in drug development through computational chemistry. Similar molecules with just a slight variation in their structure can have quit different biological activity. This kind of relationship between molecular structure and change in biological activity is center of focus for QSAR Modeling. Predictions of...
The effects of crime are diverse and complex, ranging from psychological and physical traumas faced by crime victims, to negative impacts on the economy of a whole nation. In this paper, an agent-based crime simulation framework to analyze crime and its causes is proposed and implemented. The agent-based simulation framework models and simulates both 1) crime events as a consequence of a set of interrelated...
Based on Lejeune Dirichlet allocation (LDA) model and multi-relationship topic model in Diagnosis and treatment of traditional Chinese medicine (TCM), the Symptom TCM Treatment Diagnosis (STTD) model is purposed to extract topic structure of symptom, TCM, treatment and diagnosis from TCM clinical datum. This paper uses Gibbs sampling to do parameters reasoning and confirms the optimal number of topics...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.