Results 231 to 240 of about 935,466 (405)
A self‐assembling, aggregation‐enhanced tetrahedral DNA nanostructure (tFNA), termed TACs, enables localized accumulation and sustained release of ceftriaxone while co‐delivering antisense oligonucleotides that silence mecA, reduce PBP2a expression, and restore β‐lactam susceptibility in MRSA.
Yicheng Zhao+10 more
wiley +1 more source
This study introduces an immunomodulatory DNA tetrahedral framework nucleic acid‐based nanovaccine tFNA‐CpG. The functionalized nanovaccine shows stable and well‐defined morphological characteristics and can be efficiently taken up by APCs. When combined with the immune checkpoint inhibitor anti‐PD‐1, it notably ameliorated the immunosuppressive ...
Xueting Yang+12 more
wiley +1 more source
Serum Creatinine: Not So Simple!
P. Delanaye, E. Cavalier, H. Pottel
semanticscholar +1 more source
Mesenteric thrombosis: An unusual complication of severe acute pancreatitis—Report of two cases
Abstract The incidence of acute pancreatitis is 34 per 100 000 people in the general population and is on the rise. Approximately 15% to 20% of all patients experience severe pancreatitis, with a mortality rate nearing 20%. This condition is often linked to vascular complications, although mesenteric thrombosis is a rare presentation.
Asya Zubillaga‐Mares+5 more
wiley +1 more source
STUDIES IN CREATINE AND CREATININE METABOLISM
Jeanette Allen Behre+1 more
openalex +1 more source
Printed Wearable Sweat Rate Sensor for Continuous In Situ Perspiration Measurement
A wireless wearable sweat rate sensor system is presented, featuring digital 3D direct‐write printing on a flexible substrate with microfluidic layers for continuous, real‐time monitoring. Printed encapsulated metal electrodes are used for capacitance measurements, achieving high sensitivity (0.01 μL min−1) while maintaining a compact and lightweight ...
Mohammad Shafiqul Islam+6 more
wiley +1 more source
EXPERIMENTAL STUDIES ON CREATINE AND CREATININE
William C. Rose+2 more
openalex +1 more source
Early diagnosis and prognosis prediction of central nervous system infections are critical. This study introduces a deep‐learning model utilizing cerebrospinal fluid immune‐cell morphology captured via 3D holotomography. The model effectively predicts infection etiology and prognosis, achieving high accuracy.
Bo Kyu Choi+5 more
wiley +1 more source