Results 211 to 220 of about 3,118,972 (248)

Artificial Intelligence‐Empowered Single‐Cell Phenotyping for Rapid, Automated Pathogen Diagnostics

open access: yesAdvanced Science, EarlyView.
This work presents an integrated diagnostic platform that combines microfluidic single‐cell bacterial detection with artificial intelligence‐driven analysis for rapid antimicrobial susceptibility testing. Single‐cell phenotyping enables assessment of antibiotic response in only a few cell replication cycles, while AI analysis supports precise bacterial
Sabita Khadka   +3 more
wiley   +1 more source

Supramolecular Terbium‐Threonine Chiral Emitters with Tunable Circularly Polarized Luminescence as Anticounterfeiting‐Ink for Autonomous Data Encryption

open access: yesAdvanced Science, EarlyView.
A one‐pot, aqueous, and scalable method for synthesizing chiral lanthanide supramolecular emitters using terbium and threonine is reported. The aqueous solution of these chiral emitters displays the following features: (i) 100 % transparency, (ii) tunable luminescence and CPL, and (iii) a pH feedback loop that controls the “on‐off” states of ...
P. M. Ajay Sekhar   +5 more
wiley   +1 more source

AARS1‐Mediated H3K27 Lactylation Rewires Glycolysis to Sustain Aggressive and Recurrent Bladder Cancer

open access: yesAdvanced Science, EarlyView.
AARS1 drives PI3K–AKT–mTOR‐dependent glycolysis in bladder cancer, promoting lactate accumulation, increased lactylation, H3K27la enrichment at the HK2 promoter, and HK2 transcription. HK2 reinforces glycolysis, sustaining a metabolic–epigenetic program associated with tumor progression, recurrence, and metastasis.
Qin Yuan   +13 more
wiley   +1 more source

Risk factors for combined vaginal-cesarean delivery in the vertex-vertex twins: a case-control study. [PDF]

open access: yesArch Gynecol Obstet
Manor I   +5 more
europepmc   +1 more source

Similarity‐Enhanced Representation Learning of Non‐Canonical Amino Acids for Therapeutic Peptide Modeling

open access: yesAdvanced Science, EarlyView.
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu   +8 more
wiley   +1 more source

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