Antibiotic resistance in Mycoplasma isolates from tissue cultures
, 1967 Sharon B. Rahman +2 more
openalex +1 more source
Genetic basis, epidemiology, and future significance of antibiotic resistance in Staphylococcus aureus: a review. [PDF]
, 1973 R. W. Lacey
openalex +1 more source
High‐Resolution Patterned Delivery of Chemical Signals From 3D‐Printed Picoliter Droplet Networks
Advanced Materials, EarlyView.3D‐printed picoliter droplet networks have been fabricated that control gene expression in bacterial populations by releasing chemical signals with precise spatial definition and high temporal resolution. This system of effector release is widely applicable, offering diverse applications in biology and medicine.
Jorin Riexinger +7 more
wiley +1 more source
State‐of‐the‐Art, Insights, and Perspectives for MOFs‐Nanocomposites and MOF‐Derived (Nano)Materials
Advanced Materials, EarlyView.Different approaches to MOF‐NP composite formation, such as ship‐in‐a‐bottle, bottle‐around‐the‐ship and in situ one‐step synthesis, are used. Owing to synergistic effects, the advantageous features of the components of the composites are beneficially combined, and their individual drawbacks are mitigated.
Stefanos Mourdikoudis +6 more
wiley +1 more source
Engineering Magnetotactic Bacteria as Medical Microrobots
Advanced Materials, EarlyView.Magnetotactic bacteria (MTB) are living microorganisms that produce magnetosomes for navigation using the Earth's geomagnetic field. Their built‐in magnetic components, along with their intrinsic and/or modified biological functions, make them one of the most promising platforms for making future living and programmable microrobots.
Jiaqi Wang +9 more
wiley +1 more source
Plasmid-mediated resistance to antibiotic synergism in enterococci. [PDF]
, 1978 Donald J. Krogstad +4 more
openalex +1 more source
Machine‐Learning‐Aided Advanced Electrochemical Biosensors
Advanced Materials, EarlyView.Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan +9 more
wiley +1 more source
Transferable Plasmids Mediating Multiple-Antibiotic Resistance in Streptococcus faecalis subsp. liquefaciens [PDF]
, 1977 H.P. Marder, F. H. Kayser
openalex +1 more source
Advanced Materials, EarlyView.This review highlights recent progress in piezoelectric materials for regenerative medicine, emphasizing their ability to convert mechanical stimuli into bioelectric signals that promote tissue repair. Key discussions cover the intrinsic piezoelectric properties of biological tissues, co‐stimulation cellular mechanisms for tissue regeneration, and ...
Xinyu Wang +3 more
wiley +1 more source
Antibiotic Resistance and Diagnostic Tests: What You Need to Know [PDF]
, 2017 Antibiotic Resistance Action Center (ARAC)
core +1 more source