Results 261 to 270 of about 1,090,910 (343)
This study designs a novel mRNA‐LNP vaccine targeting VZV glycoprotein E (gE) for herpes zoster via an AI‐assisted pipeline. Validated in mice and rhesus macaques, the mRNA‐LNP vaccine shows strong humoral and cellular immune responses, with CD4+ T‐cell responses more effective and durable than Shingrix, offering a promising prophylactic option ...
Kai Dong +6 more
wiley +1 more source
Current Status and Barriers of Ophthalmic Examination Services in Companion Animal Clinics in South Korea. [PDF]
Kim JW, Kim HYS, Kim K.
europepmc +1 more source
THE FORMATION OF SOUTH KOREA AS AN ECONOMICALLY HIGHLY DEVELOPED COUNTRY [PDF]
Поліна Сергіївна Коновалова +2 more
openalex
We present a dual‐organ, biomarker‐integrated ovaryendometrium organ‐on‐a‐chip that recapitulates 3D tissue complexity, menstrual cycle dynamics, and hormonal crosstalk. This platform enables real‐time, cell‐typespecific fluorescent readouts of reproductive toxicity using ANGPTL4 and SERPINB2 as early‐response reporters.
Soo‐Rim Kim +6 more
wiley +1 more source
Nationwide study of income-based disparities in diabetic limb preservation in South Korea. [PDF]
Lee YJ, Han KD, Kim JH.
europepmc +1 more source
Domestication of Tartary buckwheat is selected for a salt tolerance mechanism involving the magnesium transporter FtMGT2. Its expression is controlled by the FtAGL16‐FtMYB15L module, which is stabilized under salt stress through a competitive interaction that blocks its degradation by the E3 ligase FtBRG1, ultimately boosting Na⁺ efflux and plant ...
Xiang Lu +23 more
wiley +1 more source
Dietary habits play a key role in chronic diseases, and higher annual consumption of fruit and vegetable may lower risk of dementia. Artificial intelligence predicts the lipid‐like compound α‐Amyrin (αA) from plants with edible peels as a drug candidate against Alzheimer's disease.
Shu‐Qin Cao +36 more
wiley +1 more source
Unpaired Learning‐Enabled Nanotube Identification from AFM Images
Identifying nanotubes on rough substrates is notoriously challenging for conventional image analysis. This work presents an unpaired deep learning approach that automatically extracts nanotube networks from atomic force microscopy images, even on complex polymeric surfaces used in roll‐to‐roll printing.
Soyoung Na +10 more
wiley +1 more source

