scholarly journals Zinc sulfide nanoparticle-decorated fibre mesh to enable localized H2S-amplified chemotherapy

2020 ◽  
Vol 56 (31) ◽  
pp. 4304-4307
Author(s):  
Gang Wang ◽  
Dong Cen ◽  
Zhaohui Ren ◽  
Yifan Wang ◽  
Xiujun Cai ◽  
...  
Keyword(s):  
Zinc Sulfide ◽  
Drug Dosage ◽  
Tumour Therapy ◽  
Hierarchical Microstructure ◽  
Fibre Mesh

ZnS nanoparticle-decorated silica fibres, with hierarchical microstructure, were synthesized and implanted to enable sufficient on-site drug dosage and intracellular H2S for localized synergistic tumour therapy.

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.

scholarly journals Alumina‐Protected, Durable and Photostable Zinc Sulfide Particles from Scalable Atomic Layer Deposition

2021 ◽  
pp. 2009323
Author(s):  
Thomas Lange ◽  
Sven Reichenberger ◽  
Markus Rohe ◽  
Mathias Bartsch ◽  
Laura Kampermann ◽  
...  
Keyword(s):  
Atomic Layer Deposition ◽  
Zinc Sulfide ◽  
Atomic Layer ◽  
Layer Deposition
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