Results 71 to 80 of about 187,471 (221)
Microbial mass spectrometry imaging (MSI) is a powerful tool used to generate biological hypotheses about the roles of metabolites in microbial competition based upon their two-dimensional spatial distribution.
Justin N. Jens +2 more
semanticscholar +1 more source
MALDI-MSI and Ovarian Cancer Biomarkers
Remi Longuespee1, Charlotte Boyon1,2, Olivier Kerdraon3, Denis Vinatier2, Isabelle Fournier1, Robert Day4 and Michel Salzet1 1Universite Nord de France, Laboratoire de Spectrometrie de Masse Biologique Fondamentale et Appliquee, Universite de Lille 1, Cite Scientifique, Villeneuve d’Ascq 2Hopital Jeanne de Flandre, service de Chirurgie Gynecologique ...
Rmi Longuespee +6 more
openaire +2 more sources
Plant protection products (PPPs) are applied on a global scale in vast quantities, which results in elevated concentrations of active ingredients in the soil pore water.
Daniel Skoczowsky +3 more
semanticscholar +1 more source
ABSTRACT Bile acids have been implicated in calcium oxalate (CaOx) nephrolithiasis. Here, we employ multi‐omics approaches to identify isoallolithocholic acid (isoalloLCA) as the key bile acid elevated in the feces, serum, kidney, and urine of CaOx rats, confirmed by spatial metabolomics.
Zijian Zhou +9 more
wiley +1 more source
Immunotherapies are treatments that use a patient’s immune system to combat disease. One important type of immunotherapy employed in cancer treatments is the delivery of monoclonal antibodies to block growth receptors.
Amanda B. Hummon (1342524) +13 more
core +1 more source
Neurotransmitters (NTs) and neuromodulators (NMs) are two of the most important neurochemicals in the brain, and their imbalances in specific brain regions are thought to underlie certain neurological disorders.
Xinxin Liu (534717) +6 more
core +1 more source
Autonomous AI‐Driven Design for Skin Product Formulations
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
MALDI-MSI: A Powerful Approach to Understand Primary Pancreatic Ductal Adenocarcinoma and Metastases
Cancer-related deaths are very commonly attributed to complications from metastases to neighboring as well as distant organs. Dissociate response in the treatment of pancreatic adenocarcinoma is one of the main causes of low treatment success and low ...
J. Gonçalves +6 more
semanticscholar +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
MALDI‐MSI for the analysis of a 3D tissue‐engineered psoriatic skin model [PDF]
MALDI‐MS Imaging is a novel label‐free technique that can be used to visualize the changes in multiple mass responses following treatment. Following treatment with proinflammatory cytokine interleukin‐22 (IL‐22), the epidermal differentiation of Labskin, a living skin equivalent (LSE), successfully modeled psoriasis in vitro.
Harvey, Amanda +8 more
openaire +3 more sources

