Results 101 to 110 of about 94,582 (271)

Author Correction: Ethiopia's transforming wheat landscape: tracking variety use through DNA fingerprinting. [PDF]

Sci Rep, 2023
Hodson DP, Jaleta M, Tesfaye K, Yirga C, Beyene H, Kilian A, Carling J, Disasa T, Alemu SK, Daba T, Misganaw A, Negisho K, Alemayehu Y, Badebo A, Abeyo B, Erenstein O.   +15 more
europepmc   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Molecular biology techniques as a tool for detection and characterisation of Mycobacterium avium subsp. paratuberculosis [PDF]

, 2002
Mycobacterium avium subsp. paratuberculosis (M. paratuberculosis) is the causative agent of paratuberculosis, also known as Johne’s disease, a chronic intestinal infection in cattle and other ruminants.
Englund, Stina
core  

Usage of DNA Fingerprinting Technology to Check Sample Error and Contamination in Molecular Laboratories. [PDF]

Curr Issues Mol Biol, 2022
Qin D, Forster M, Gandhi SM, Akabari R, Zheng Z, Lal J, Lovinger K.   +6 more
europepmc   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source

DNA Fingerprinting: Use of Autosomal Short Tandem Repeats in Forensic DNA Typing. [PDF]

Cureus, 2022
Keerti A, Ninave S.
europepmc   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

DNA Fingerprinting [PDF]

, 2020
M. Krawczka, J. Schmidtke
  +4 more sources

A novel repeat sequence-based PCR (rep-PCR) using specific repeat sequences of Mycobacterium intracellulare as a DNA fingerprinting. [PDF]

Front Microbiol, 2023
Shin JI, Ha JH, Kim KM, Choi JG, Park SR, Park HE, Park JS, Byun JH, Jung M, Baik SC, Lee WK, Kang HL, Yoo JW, Shin MK.   +13 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source