Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects
Mesoporous silica nanoparticles offer unique properties like high surface area, tunable pores, and functionalization. They excel in drug delivery, tissue engineering, and stimuli‐responsive therapies, enabling targeted and controlled treatments. With roles in cancer therapy and diagnostics, their clinical translation requires addressing challenges in ...
Miguel Manzano, María Vallet‐Regí
wiley +1 more source
Clinical problem selection for machine learning-based clinical decision support in the intensive care unit: complexity, actionability, and the way forward. [PDF]
Vinnakota A, Hodgman M, Ehrmann D.
europepmc +1 more source
Crystal Engineering of Reticular Materials for Gas‐ and Liquid‐Phase Hydrocarbon Separation
Crystal engineering enables systematic study of structure/function relationships as exemplified by pore engineering of reticular sorbents, including porous coordination networks and covalent organic frameworks. This review assesses such studies applied across the full scope of industrially relevant hydrocarbon separations to provide insight into how ...
Xia Li +2 more
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Gene Expression, Docking and Machine Learning in Malaria Drug Discovery: A Systematic Review. [PDF]
Dangana RS +4 more
europepmc +1 more source
Radiation‐Resistant Aluminum Alloy for Space Missions in the Extreme Environment of the Solar System
A novel ultrafine‐grained aluminum crossover alloy exhibits unprecedented radiation resistance and mechanical stability under extreme irradiation doses up to 100 dpa. The exceptional resilience arises from thermodynamically stable T‐phase precipitates, enabling lightweight structural materials for next‐generation spacecraft and extraterrestrial ...
Patrick D. Willenshofer +9 more
wiley +1 more source
Robust predictors for drug response of patients with acute myeloid leukemia. [PDF]
Tercan B.
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Using unsupervised corpus-based methods to build rule-based machine translation systems
Felipe Sánchez-Martínez
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Label‐Free SERS Fingerprinting of Neuroprotein Conformational Dynamics in Human Saliva
Galvanic molecular entrapment (GME) is a label‐free method for detecting and quantifying neuroprotein conformational states. This technique enables direct surface binding and in situ hotspot generation around molecules, effectively overcoming challenges related to target localization and mismatched hotspot geometries.
Muhammad Shalahuddin Al Ja'farawy +10 more
wiley +1 more source
Development of a lexical dataset and a rule-based algorithm for the analysis of Khorezm dialects of the Uzbek language. [PDF]
Abdurakhmonova N +5 more
europepmc +1 more source
A personalizable platform featuring a multi‐zonal cardiac patch design at clinical scale enables precise customization of fiber architecture at micro‐ and macroscale via melt electrowriting. Distinct scaffold zones support cell alignment with mechanical force transfer and epicardial attachment.
Johannes Braig +31 more
wiley +1 more source

