Results 241 to 250 of about 469,714 (301)
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 +4 more
wiley +1 more source
Directional Moisture Transport in Compositionally Graded Multilayer Membranes. [PDF]
Rattanaphong N +3 more
europepmc +1 more source
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
Rapid, Room-Temperature Synthesis of a Porous Organic Polymer for Highly Effective Removal of Trace Hg(II) from Water. [PDF]
Gao S +8 more
europepmc +1 more source
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley +1 more source
Toward Sustainable Lagoon Wastewater Treatment: A Review of Nutrient Management Technologies and Their Suitability for Small Communities. [PDF]
Ruto DS +4 more
europepmc +1 more source
Hydrothermal synthesis records for rare‐earth compounds are repurposed to learn mineralization rules. An extreme gradient boosting model ingests precursors, additives, and engineered descriptors to predict product phases, crystallization temperature, and pH. Feature importance indicates dominant thermodynamic control with kinetic modulation, suggesting
Juejing Liu +6 more
wiley +1 more source
Effect of tea polysaccharide conjugates combined with different phenolic compounds (EGCG/EGC/TP) on tomato preservation through composite film formation. [PDF]
Li L +6 more
europepmc +1 more source
From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids
This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal +2 more
wiley +1 more source
Dual-targeted phosphorus and COD removal by engineered amine-modified zeolite with pH self-regulation and competitive adsorption selectivity. [PDF]
Chen Y, Liu Q, Li Y.
europepmc +1 more source

