Results 221 to 230 of about 280,649 (271)

We Need to Relax Intellectual Property Rules to Fight this Virus [PDF]

, 2020
Cooper, James
core  

Polyglycerol‐Based Lipids: A Next‐Generation Alternative to PEG in Lipid Nanoparticles for Advanced Drug Delivery Systems

Macromolecular Rapid Communications, EarlyView.
Linear polyglycerol is proposed as a PEG‐alternative in mRNA‐loaded lipid nanoparticles to limit activation of anti‐PEG antibodies and reduce immunogenicity. Resulting nanoparticles may provide similar gene delivery capabilities, while preventing binding of anti‐PEG antibodies compared to PEGylated counterparts.
Yara Ensminger, Rashmi Rashmi, Michael Karimov, Gideon Nölte, Markus Hafke, Ann‐Cathrin Schmitt, David Díaz‐Oviedo, Johannes Köbberling, Rainer Haag   +8 more
wiley   +1 more source

A qualitative examination of the distribution strategies, access, and equitable uptake of the COVID-19 vaccines in Kenya: lessons for the next pandemic. [PDF]

Front Public Health
Mulupi S, Ataguba JE, Muriithi GN, Achala DM, Adote ENA, Mbachu CO, Beshah SA, Nwosu CO, Zegeye EE, Okungu V.   +9 more
europepmc   +1 more source

Poly(sarcosine) Lipid Synthesis From CO2‐Based Sarcosine‐N‐Carboxyanhydride

Macromolecular Rapid Communications, EarlyView.
In this work, we optimize and scale‐up a CO2‐based synthesis of sarcosine‐N‐carboxyanhydride (Sar‐NCA) to the gram scale. The low toxicity and simplicity of the approach make it an attractive alternative to current toxic phosgene‐based approaches. The CO2‐based Sar‐NCA has sufficient purity for controlled polymerization.
Florian T. Kaps, Leon Quellmalz, Annika D. S. Richardson, Anna‐Lena Ziegler, Sarah Moreau, Susanne K. Wiedmer, Timo Repo, Robert Luxenhofer   +7 more
wiley   +1 more source

Effectiveness of 2024-2025 COVID-19 Vaccines in Children in the United States - VISION, August 29, 2024-September 2, 2025. [PDF]

MMWR Morb Mortal Wkly Rep
Irving SA, Rowley EAK, Chickery S, Natarajan K, Klein NP, Grannis SJ, Ong TC, Ball SW, DeSilva MB, Dascomb K, Naleway AL, Stockwell MS, Stephens AB, Zerbo O, Hansen J, Block L, Jacobson KB, Dixon BE, Rogerson C, Duszynski T, Barron MA, Mayer D, Chavez C, Weber ZA, Reese SE, Essien I, Sheffield T, Bride D, Arndorfer J, Van Otterloo J, Koppolu P, Mak J, Kautz A, DeCuir J, Wiegand RE, Payne AB, Link-Gelles R.   +36 more
europepmc   +1 more source

Active Learning for the Discovery of Antiviral Polymers

Macromolecular Rapid Communications, EarlyView.
Machine learning and active learning are integrated to accelerate the discovery of antiviral polymers. Molecular descriptors derived from polymer composition enable predictive modeling of antiviral activity, while unsupervised clustering explores chemical diversity. The active learning workflow identifies optimal candidates for synthesis, demonstrating
Clodagh M Boland, Nhat Quynh Nguyen, Nathan RB Boase   +2 more
wiley   +1 more source

Respiratory Syncytial Virus (RSV): A Comprehensive Overview From Basic Biology to Clinical Prevention and Control

Medicinal Research Reviews, EarlyView.
ABSTRACT Respiratory syncytial virus (RSV) is a common virus that causes respiratory infections, posing a serious threat, particularly to infants, the elderly, and individuals with compromised immune systems. As the leading cause of lower respiratory tract infections (LRTIs) in infants, RSV is responsible for millions of cases worldwide each year.
Jie Shi, Xiya Huang, Chunjun Ye, Yishan Lu, Yanyan Liu, Yuquan Wei, Xiawei Wei   +6 more
wiley   +1 more source

Investigating Tuberculosis Dynamics Under Various Control Strategies: A Comprehensive Analysis Using Real Statistical Data

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT In the present investigation, a mathematical model with vaccination, treatment, and environmental impact under real data is presented. Initially, we present the model without any interventions, followed by an examination of its equilibrium points.
Bashir Al‐Hdaibat, Mahmoud H. DarAssi, Irfan Ahmad, Muhammad Altaf Khan, Reem Algethamie   +4 more
wiley   +1 more source

A data-driven machine learning framework to predict side effects of AstraZeneca and sinopharm COVID-19 vaccines. [PDF]

Sci Rep
Eterafi M, Fouladi N, Amanzadeh M, Mohammadnia A, Safarzadeh E.   +4 more
europepmc   +1 more source

Hybrid Reaction–Diffusion Epidemic Models: Dynamics and Emergence of Oscillations

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT In this paper, we construct a hybrid epidemic mathematical model based on a reaction–diffusion system of the SIR (susceptible‐infected‐recovered) type. This model integrates the impact of random factors on the transmission rate of infectious diseases, represented by a probabilistic process acting at discrete time steps.
Asmae Tajani, Cristiana J. Silva, Guillaume Cantin   +2 more
wiley   +1 more source