Machine‐Learning‐Aided Advanced Electrochemical Biosensors
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
Leveraging multi-modal data for early prediction of severity in forced transmission outages with hierarchical spatiotemporal multiplex networks. [PDF]
Aljurbua R+4 more
europepmc +1 more source
Mononeuritis multiplex occurring in a diabetic patient with Hb C disease. [PDF]
P Maddison+3 more
openalex +1 more source
Upconversion nanoparticle‐covalent organic framework core–shell particles provide enhanced contrast for optoacoustic imaging by leveraging the optical absorption of upconversion luminescence within the covalent organic framework matrix. Beyond their role as contrast agents, these particles enable customizable therapeutic agent loading and release, as ...
Dong Wook Kim+8 more
wiley +1 more source
A one-step multiplex qPCR assay for simultaneous identification and quantification of Leishmania martiniquensis and Leishmania orientalis/Leishmania chancei and detection and quantification of trypanosomatids in clinical samples. [PDF]
Mano C+10 more
europepmc +1 more source
Congenital non-progressive peripheral neuropathy with arthrogryposis multiplex [PDF]
G M Yuill, Patrick Lynch
openalex +1 more source
Photonic Nanomaterials for Wearable Health Solutions
This review discusses the fundamentals and applications of photonic nanomaterials in wearable health technologies. It covers light‐matter interactions, synthesis, and functionalization strategies, device assembly, and sensing capabilities. Applications include skin patches and contact lenses for diagnostics and therapy. Future perspectives emphasize AI‐
Taewoong Park+3 more
wiley +1 more source
Novel multiplex PCR approach for the detection of <i>Erysipelothrix rhusiopathiae</i>, <i>Streptococcus suis</i>, and <i>Staphylococcus hyicus</i> in swine. [PDF]
Milton AAP+9 more
europepmc +1 more source