Results 141 to 150 of about 418,334 (279)

Comparative Study Of Photodynamic Therapy With Riboflavin-Tryptophan Gel And 13% 5-Aminolevulinic Acid In The Treatment Of Mild To Moderate Acne Vulgaris

open access: yesClinical, Cosmetic and Investigational Dermatology, 2019
Suparat Wangsuwan, Jitlada Meephansan Division of Dermatology, Chulabhorn International College of Medicine, Thammasat University, Pathum Thani 12120, ThailandCorrespondence: Jitlada MeephansanDivision of Dermatology, Chulabhorn International College of ...
Wangsuwan S, Meephansan J
doaj  

Selenium‐Based Nanoplatforms: An Emerging Theranostic Paradigm for Gynecological Cancers

open access: yesAdvanced Science, EarlyView.
This reivew summarizes Selenium as a multifunctional anticancer regulator in gynecological cancers. It reduces tumor risk, enhances therapeutic efficacy, and reduces treatment toxicity. Selenium also overcomes chemoraditherapy resistance, improving overall treatment outcomes. ABSTRACT Gynecological cancers present significant therapeutic challenges due
Hejing Liu   +9 more
wiley   +1 more source

Chitosan‐Carbon Dot Composite Materials Form a Leaf Surface Barrier to Mitigate the Enrichment and Invasion of Nanoplastics: From Leaf Interface to Systemic Response

open access: yesAdvanced Science, EarlyView.
Foliar spraying of CS‐CDs can form a film on the leaves of Brassica rapa, effectively reducing the enrichment and absorption of PS in the leaves, while increasing the biomass and nutrient content of the plants. In addition, CS‐CDs can also enrich the interfoliar microbial community and activate the plant's own defense metabolic pathways.
Beibei Zhao   +6 more
wiley   +1 more source

Reprogramming Antitumor Immunity: NK Cell Strategies to Navigate the Immunosuppressive Tumor Microenvironment

open access: yesAdvanced Science, EarlyView.
ABSTRACT Tumor immune escape is a major barrier to durable cancer immunotherapy, as advanced malignancies create a tumor microenvironment (TME) that preferentially exhausts and disables T cell responses. While most approved cell therapies are T cell‐based, this limitation motivates the exploration of an alternative effector cell platform.
Tereza Kochs   +4 more
wiley   +1 more source

Single‐Injection Multi‐Omics Analysis by Direct Infusion Mass Spectrometry

open access: yesAngewandte Chemie, EarlyView.
A high‐throughput direct infusion mass spectrometry platform, enabled by gas‐phase ion mobility separation, supports single‐injection analysis of peptides, polar metabolites, and lipids. Coupled with custom software, it identified ∽1,300 proteins and ∽600 metabolites in ∽4.3 minutes per sample, and demonstrated broad utility in macrophage polarization ...
Yuming Jiang   +6 more
wiley   +2 more sources

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

open access: yesAdvanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira   +13 more
wiley   +1 more source

Recent Trends in Metabolomics by NMR Spectroscopy

open access: yesAngewandte Chemie, EarlyView.
AI tools were applied to analyze more than 5 000 publications indexed in Scopus (2018–2025), identifying key trends and research directions in NMR‐based metabolomics. The artificial intelligence‐assisted workflow classified papers into six main fields of application, human health, food and nutrition, veterinary science, plants, environment, and ...
Giorgio Di Paco   +6 more
wiley   +2 more sources

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan   +3 more
wiley   +1 more source

Digital Surface‐Enhanced Raman Scattering With Event Counting and Spectrum Learning for Label‐Free Protein Quantification

open access: yesAdvanced Intelligent Systems, EarlyView.
A statistical and machine learning‐assisted surface‐enhanced Raman scattering (SERS) framework is developed for label‐free quantification of low‐abundance analytes, including proteins. Combining digital SERS event counting with binomial regression and an artificial neural network (ANN) trained on full spectra, the approach achieves picomolar detection ...
Eni Kume, James Rice
wiley   +1 more source

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