Results 231 to 240 of about 7,699,553 (352)
Advanced Science, EarlyView.This study presents a comprehensive data mining strategy for in‐depth extraction of overall and altered glycan features from structural and site‐specific glycoproteome data across various biomedical samples. The strategy enables the uncovery of four major altered glycan features associated with thymic involution and reveals their coordinated ...
Zhida Zhang +11 more
wiley +1 more source
The silent legacy of COVID-19: exploring genomic instability in long-term COVID-19 survivors. [PDF]
BMC Infect DisAbiri E, Abiri A, Daneshi S, Raesi R.
europepmc +1 more source
Relationship between taking medical care of people infected with COVID-19 and mental health of healthcare professionals [PDF]
, 2019 Tomasz Szambor +3 more
openalex +1 more source
Advanced Science, EarlyView.A rapid, portable lateral flow strip assay for on‐site mRNA quality control is developed, enabling sequence‐independent analysis of 5' capping, integrity, and LNPs encapsulation efficiency. This cost‐effective method offers real‐time stability monitoring, reduced sample requirements, and comparable accuracy to standard techniques, enhancing ...
Dengwang Luo +9 more
wiley +1 more source
What Did We Learn About The Covid-19 Pandemic?
, 2015 Sevda Ö. Yeşilırmak +2 more
openalex +1 more source
QAA's advice to degree-awarding bodies on mitigating the disruption of studies to TNE students caused by the COVID-19 (Coronavirus) outbreak: March 2020 [PDF]
, 2020 core
Drug Delivery Technologies for the Treatment of Age‐Related Macular Degeneration
Advanced Science, EarlyView.There are multiple therapeutic agents available for the treatment of both dry age‐related macular degeneration (AMD) and wet AMD. It is essential to continue innovation by introducing new drug delivery technologies that can incorporate those along with patient compliance and the accessibility of the technology into the early stages of research and ...
J Jesus Rodriguez‐Cruz +4 more
wiley +1 more source
Advanced Science, EarlyView.CellPhenoX is an explainable machine learning framework that identifies cell‐specific phenotypes and interaction effects from single‐cell omics data. By leveraging interpretable models, it enables robust discovery of cell‐level phenotypes that contribute to clinical outcomes.
Jade Young +4 more
wiley +1 more source
Disparities in COVID-19 mortality in the United States, 2020-2023. [PDF]
BMC Public HealthAbidin ZU +3 more
europepmc +1 more source