Results 161 to 170 of about 420,815 (305)

A 3D‐Printed Vascular‐Like Perfusion Tumor‐on‐a‐Chip Recapitulates High‐Grade Breast Cancer With in Vivo‐Relevant Drug Resistance

open access: yesAdvanced Healthcare Materials, EarlyView.
A high‐resolution 3D‐printed tumor‐on‐a‐chip platform sustains breast cancer tissues at in vivo–like cell densities through vascular‐like perfusion. This engineered system recapitulates grade‐dependent molecular features and exhibits drug‐resistance profiles that uniquely align with clinically relevant Cmax values.
Geonhui Lee   +3 more
wiley   +1 more source

Genetic diversity within Cryptosporidium parvum and related Cryptosporidium species. [PDF]

open access: yes, 1999
To assess the genetic diversity in Cryptosporidium parvum, we have sequenced the small subunit (SSU) rRNA gene of seven Cryptosporidium spp., various isolates of C.
Ananias Escalante   +17 more
core   +1 more source

Bacteria‐Responsive Nanostructured Drug Delivery Systems for Targeted Antimicrobial Therapy

open access: yesAdvanced Materials, EarlyView.
Bacteria‐responsive nanocarriers are designed to release antimicrobials only in the presence of infection‐specific cues. This selective activation ensures drug release precisely at the site of infection, avoiding premature or indiscriminate release, and enhancing efficacy.
Guillermo Landa   +3 more
wiley   +1 more source

Genetic polymorphism of drug metabolizing enzymes in the Shona and the San in Zimbabwe and the clinical impact of CYP2D6 polymorphism on safety in the use of psychotropics [PDF]

open access: yes, 2012
INTRODUCTION: Interindividual variability to drug response is a well known phenomenon and dates back to the 1950s with isoniazid. When the same dose of the same drug is given to different individuals, some may respond well, while others may respond
Chigutsa, Emmanuel
core  

Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives

open access: yesAdvanced Materials, EarlyView.
Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi   +4 more
wiley   +1 more source

Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics

open access: yesAdvanced Materials, EarlyView.
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades   +7 more
wiley   +1 more source

2D Co‐Mo‐Hydroxide‐Based Multifunctional Material for the Development of H2‐Based Clean Energy Technologies

open access: yesAdvanced Materials, EarlyView.
2D α‐Co(OH)2 interleaved with Mo species displays an appealing dual functionality for the production and use of green hydrogen.Mo incorporation greatly benefits the electrochemical behaviour in Oxygen Evolution Reaction for H2 production, while the magnetocaloric response at liquid H2 temperature paves the way for alternative cryogenic refrigerants ...
Daniel Muñoz‐Gil   +14 more
wiley   +1 more source

Polymorph‐Specific Electronic Transduction in WO3 during Molecular Sensing

open access: yesAdvanced Materials, EarlyView.
Metal‐oxide polymorphs with similar surface chemistry can nevertheless exhibit distinct sensing properties. In γ‐ and ε‐WO3, analyte adsorption appears comparable; yet, only ε‐WO3 induces a pronounced lattice electronic perturbation that accommodates charge in sub‐conduction band minimum states.
Matteo D'Andria   +6 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

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