Results 251 to 260 of about 2,045,538 (328)
Smart REASSURED Sensors via Machine‐Augmented Printable On‐Paper Arrays
This perspective highlights the emerging role of pattern‐recognition, printable on‐paper sensor arrays for intelligent PoC diagnostics. It discusses how paper's inherent limitations can be overcome through surface modification and scalable printing, and how machine‐learning analysis of cross‐reactive arrays enables multiplexed, low‐cost, and REASSURED ...
Naimeh Naseri, Saba Ranjbar
wiley +1 more source
Systematic annotation and analysis of susceptibility genes associated with vaccine adverse events. [PDF]
Song Q +6 more
europepmc +1 more source
Research Progress in Wearable Microneedle Sensors for Health Analysis
Wearable biosensors are transforming personal healthcare by enabling minimally invasive, molecular‐level monitoring. Emerging electrochemical microneedle sensors can detect analytes in interstitial fluid, enabling painless extraction and real‐time tracking.
Adnan Zameer +3 more
wiley +1 more source
ISOMED - A Stable ISOtope database of MEDiterranean marine food web components. [PDF]
Berto D +12 more
europepmc +1 more source
Conceptual analysis of e-recruitment: The role of web-site usability and organizational attraction of personnel in Nigeria [PDF]
Naziru Mohammed Musalli +2 more
openalex
Nanosafety data provide a guiding example for establishing best practices in data management, aligning with FAIR principles and quality criteria. This review explores existing quality assessment approaches for reliability, relevance, and completeness, emphasizing the need for harmonization and adaptation to nanomaterials and advanced materials. The aim
Verónica I. Dumit +43 more
wiley +1 more source
Improving outcomeS for Women diagnosed with early breast cancer through adhErence to adjuvant Endocrine Therapy (SWEET): study protocol for a pragmatic randomised control trial of a patient-centred intervention to improve adherence to endocrine therapy in early breast cancer. [PDF]
McGeagh L +29 more
europepmc +1 more source
Integrated machine learning framework for phenolic derivatives: classification (toxicity) and regression (logP) models identify top drug‐like compounds. Random Forest outperformed for toxicity, while Linear Regression best predicted logP. A weighted scoring approach prioritized five safe, lipophilicity‐optimized candidates, supporting rational ...
Houria Nacer +7 more
wiley +1 more source

