Results 81 to 90 of about 68,659 (357)
A Spleen‐Targeted Tolerogenic mRNA‐LNPs Vaccine for the Treatment of Experimental Asthma
Advanced Science, EarlyView.Splenic DCs‐targeted co‐delivery of nucleoside‐modified antigen mRNA and Cel‐loaded LNPs vaccine induces tolerogenic DCs and subsequent antigen‐specific CD4+ regulatory T cells for the treatment of experimental allergic asthma. Abstract Lipid nanoparticles (LNPs)‐based mRNA vaccines have witnessed their great advantages in the fight against infectious ...
Fazhan Wang +15 more
wiley +1 more source
Advanced Science, EarlyView.Omicsformer, a deep learning model, integrates multi‐omics and routine blood data to accurately predict risks for nine chronic diseases, including cancer and cardiovascular conditions. Validated using large scale clinical data, it reveals early risk trajectories, advancing personalized medicine and offering a cost‐effective, community‐based solution ...
Zhibin Dong +20 more
wiley +1 more source
Deep metric learning improves lab of origin prediction of genetically engineered plasmids [PDF]
arXiv, 2021 Genome engineering is undergoing unprecedented development and is now becoming widely available. To ensure responsible biotechnology innovation and to reduce misuse of engineered DNA sequences, it is vital to develop tools to identify the lab-of-origin of engineered plasmids.
arxiv
The overview of forensic genetic genealogy
Archives of Forensic Medicine and Criminology, 2023 Forensic genetic genealogy (FGG) benefits largely from popularity of genealogical research within (mostly) American society and the advent of new sequencing techniques that allow typing of challenging forensic samples. It is considered a true breakthrough for both active and especially cold cases where all other resources and methods have failed during
openaire +2 more sources
Advanced Science, EarlyView.This study develops an Au/S‐doped reduced graphene oxide (Au@S‐rGO) sensor for rapid fentanyl detection. DFT simulations and structural analysis confirm atomically dispersed Au/S configurations, enhancing catalytic activity. The sensor achieves a 9.7 nmol L−1 detection limit, 98–104% recovery in human serum, and 85.7–93.6% consistency with mass ...
Meng Li +9 more
wiley +1 more source
Journal of Analytical Science and Technology, 2022 In this study, a liquid chromatography–tandem mass spectrometry (LC–MS/MS) method was developed to detect ethyl glucuronide (EtG), which is a biomarker for monitoring alcohol consumption, and naltrexone (NTX), 6β-naltrexol (6βNTX), chlordiazepoxide (CDP),
Yeong Eun Sim +3 more
doaj +1 more source
Forensic-Ready Risk Management Concepts [PDF]
arXiv, 2022 Currently, numerous approaches exist supporting the implementation of forensic readiness and, indirectly, forensic-ready software systems. However, the terminology used in the approaches and their focus tends to vary. To facilitate the design of forensic-ready software systems, the clarity of the underlying concepts needs to be established so that ...
arxiv
Fast nuclear staining of head hair roots as a screening method for successful STR analysis in forensics [PDF]
, 2014 The success rate of STR profiling of hairs found at a crime scene is quite low and negative results of hair analysis are frequently reported. To increase the success rate of DNA analysis of hairs in forensics, nuclei in hair roots can be counted after ...
Deforce, Dieter +3 more
core +2 more sources
Annals of Human Biology, 2018 Background: Tandem repeats (STRs) are genomic markers of particular interest in forensic and population genetics. Most of the population data currently available correspond to the variation of STRs of forensic panels, which barely include dinucleotide ...
Josep Santamaría +4 more
doaj +1 more source
A Transferable Anti-Forensic Attack on Forensic CNNs Using A Generative Adversarial Network [PDF]
arXiv, 2021 With the development of deep learning, convolutional neural networks (CNNs) have become widely used in multimedia forensics for tasks such as detecting and identifying image forgeries. Meanwhile, anti-forensic attacks have been developed to fool these CNN-based forensic algorithms.
arxiv