Drug dosage and nomenclature

2018 ◽  
pp. ix
Keyword(s):  
Drug Dosage

Possible benefits of reformulating antiviral drugs with nanoemulsion system in the treatment of novel coronavirus infection

Coronaviruses ◽  
2020 ◽  
Vol 01 ◽  
Author(s):  
Manish Kumar ◽  
Chandra Prakash Jain
Keyword(s):  
Drug Delivery ◽  
Drug Therapy ◽  
Pulmonary Surfactant ◽  
Antiviral Drug ◽  
Treatment Strategies ◽  
Drug Dosage ◽  
Antiviral Drugs ◽  
Antiviral Action ◽  
Coronavirus Infection ◽  
Novel Coronavirus

Background: An outbreak of SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) infection or COVID 19, causing serious threats to all around the world. Until an effective and safe vaccine for novel coronavirus is developed by scientists, current drug therapy should by optimize for the control and treatment of COVID 19. Objective: In this manuscript, we are presenting a perspective on possible benefits of reformulating antiviral drug dosage form with nanoemulsion system against novel coronavirus infection. Methods: Literature review has been done on COVID 19, treatment strategies, novel drug delivery systems and role of pulmonary surfactant on lungs protection. Results: Nanoemulsion system and its components have certain biophysical properties which could increase the efficacy of drug therapy. Antiviral drugs, delivered through a nanoemulsion system containing P-gp inhibitor (surfactant and cosolvent), can inhibit the cellular resistance to drugs and would potentiate the antiviral action of drugs. Pulmonary surfactant (PS) assisted antiviral drug delivery by nanoemulsion system could be another effective approach for the treatment of COVID 19. Use of functional excipients like pulmonary surfactant (PS) and surfactant proteins (SPs), in the formulation of the antiviral drug-loaded nanoemulsion system can improve the treatment of coronavirus infection. Conclusion: In our opinion for synergizing antiviral action, lipid and protein portion of PS and their commercial analogs should be explored by pharmaceutical scientists to use them as a functional excipient in the formulation of antiviral drugloaded nanoemulsion system.

scholarly journals Seeing under the cover with a 3D U-Net: point cloud-based weight estimation of covered patients

2021 ◽  
Author(s):  
Alexander Bigalke ◽  
Lasse Hansen ◽  
Jasper Diesel ◽  
Mattias P. Heinrich
Keyword(s):  
Point Cloud ◽  
Drug Dosage ◽  
Sensor Data ◽  
Patient Specific ◽  
Point Cloud Data ◽  
Weight Estimation ◽  
Visual Sensor ◽  
Cloud Data ◽  
Emergency Situations ◽  
3D Cnn

Abstract Purpose Body weight is a crucial parameter for patient-specific treatments, particularly in the context of proper drug dosage. Contactless weight estimation from visual sensor data constitutes a promising approach to overcome challenges arising in emergency situations. Machine learning-based methods have recently been shown to perform accurate weight estimation from point cloud data. The proposed methods, however, are designed for controlled conditions in terms of visibility and position of the patient, which limits their practical applicability. In this work, we aim to decouple accurate weight estimation from such specific conditions by predicting the weight of covered patients from voxelized point cloud data. Methods We propose a novel deep learning framework, which comprises two 3D CNN modules solving the given task in two separate steps. First, we train a 3D U-Net to virtually uncover the patient, i.e. to predict the patient’s volumetric surface without a cover. Second, the patient’s weight is predicted from this 3D volume by means of a 3D CNN architecture, which we optimized for weight regression. Results We evaluate our approach on a lying pose dataset (SLP) under two different cover conditions. The proposed framework considerably improves on the baseline model by up to $${16}{\%}$$ 16 % and reduces the gap between the accuracy of weight estimates for covered and uncovered patients by up to $${52}{\%}$$ 52 % . Conclusion We present a novel pipeline to estimate the weight of patients, which are covered by a blanket. Our approach relaxes the specific conditions that were required for accurate weight estimates by previous contactless methods and thus constitutes an important step towards fully automatic weight estimation in clinical practice.

Regularized error function-based extended Kalman filter for estimating the cancer chemotherapy dosage: impact of improved grey wolf optimization

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Utkarsha L. Mohite ◽  
Hirenkumar G. Patel
Keyword(s):  
Tumor Cells ◽  
Error Function ◽  
Drug Dosage ◽  
Parameters Estimation ◽  
Gray Wolf ◽  
Robust Performance ◽  
Parameter Uncertainties ◽  
Initial State ◽  
Robust Controller ◽  
Fine Tune

AbstractObjectivesThe main aim of this work is to introduce a robust controller for controlling the drug dosage.MethodsThe presented work establishes a novel robust controller that controls the drug dosage and it also carried out parameters estimation. Along with this, a Regularized Error Function-based EKF (REF-EKF) is introduced for estimating the tumor cells that could be adapted for different conditions. It also assists in solving the overfitting problems, which occur during the drug dosage estimation. Moreover, the performance of the adopted controller is compared over other conventional schemes, and the attained outcomes reveal the appropriate impact of drug dosage injection on immune, normal, and tumor cells. It is also ensured that the presented controller does a robust performance on the parameter uncertainties. Moreover, to enhance the performance of the proposed system and for fast convergence, it is aimed to fine-tune the initial state of EKF optimally using a new Improved Gray Wolf Optimization (GWO) termed as Adaptive GWO (AGWO). Finally, analysis is held to validate the betterment of the presented model.ResultsThe outcomes, the proposed method has accomplished a minimal value of error with an increase in time, when evaluated over the compared models.ConclusionsThus, the improvement of the proposed REF-EKF-AGWO model is proved from the attained results.

Impact of Removing the Race Coefficient in Renal Function Estimate Equations on Drug Dosage Recommendations

2021 ◽  
pp. 106002802110102
Author(s):  
Janine Miller ◽  
John P. Knorr
Keyword(s):  
Filtration Rate ◽  
Drug Dosage ◽  
Drug Dose ◽  
Epidemiology Study ◽  
Black African ◽  
Drug Dosing ◽  
Disease Epidemiology ◽  
Black Patients ◽  
The Impact ◽  
Level Of Agreement

Background The appropriateness of including the race coefficient in glomerular filtration rate (GFR) equations in Black patients is debated, and the impact on drug dosing is unknown. Objective This study explored the impact of removing the race coefficient on drug dosing in Black patients in comparison to conventional methods. Methods This was a retrospective study of hospitalized patients who self-identified as Black/African American and were prescribed an antimicrobial that includes renal dosage recommendations in the product labeling. The primary end point was the discordance between drug dosing recommendations derived by body surface area deindexed GFR estimated by the CKD-EPI equation (Chronic Kidney Disease Epidemiology study) with and without race versus recommendations derived from Cockcroft-Gault (CG). Results A total of 210 Black patients were included. There was an 18% rate of discordance when GFR was estimated with the race coefficient (GFR w/Race) versus without the race coefficient (GFR w/out Race). GFR w/out Race had a higher level of agreement with dosing by creatinine clearance (CrCl; κ = 0.779) than GFR w/Race versus CrCl (κ = 0.651). GFR w/out Race had less within-patient difference than GFR w/Race in comparison to CrCl (mean difference: −6.3 vs −18.0 mL/min). Conclusions and Relevance This represents the first report to examine the removal of the race coefficient and its implication on drug dose discordance. GFR w/out Race had a higher level of agreement and less drug dose discordance than GFR w/Race, in comparison to CrCl estimates. If GFR equations are considered comparable to CrCl for the purposes of guiding drug dosing, GFR w/out Race should be considered.

Elucidation of the taste disorder outbreak mechanism with the anticancer drug dosage

2014 ◽  
Vol 72 (9) ◽  
pp. e111
Author(s):  
K. Aoki ◽  
M. Kurihara ◽  
I. Yamamoto ◽  
H. Kuniyasu ◽  
M. Takaki ◽  
...  
Keyword(s):  
Anticancer Drug ◽  
Drug Dosage ◽  
Taste Disorder

scholarly journals Ophthalmic Drug Dosage Forms: Characterisation and Research Methods

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Przemysław Baranowski ◽  
Bożena Karolewicz ◽  
Maciej Gajda ◽  
Janusz Pluta
Keyword(s):  
Defense Mechanisms ◽  
Drug Application ◽  
Drug Dosage ◽  
Eye Drops ◽  
Eye Tissues ◽  
Ophthalmic Drug ◽  
Application Frequency

This paper describes hitherto developed drug forms for topical ocular administration, that is, eye drops, ointments,in situgels, inserts, multicompartment drug delivery systems, and ophthalmic drug forms with bioadhesive properties. Heretofore, many studies have demonstrated that new and more complex ophthalmic drug forms exhibit advantage over traditional ones and are able to increase the bioavailability of the active substance by, among others, reducing the susceptibility of drug forms to defense mechanisms of the human eye, extending contact time of drug with the cornea, increasing the penetration through the complex anatomical structure of the eye, and providing controlled release of drugs into the eye tissues, which allows reducing the drug application frequency. The rest of the paper describes recommendedin vitroandin vivostudies to be performed for various ophthalmic drugs forms in order to assess whether the form is acceptable from the perspective of desired properties and patient’s compliance.

DRUG DOSAGE FOR CHILDREN

The Lancet ◽  
1967 ◽  
Vol 290 (7530) ◽  
pp. 1350-1351 ◽  
Author(s):  
R.H. Leach ◽  
B.S.B. Wood
Keyword(s):  
Drug Dosage
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