Results 291 to 300 of about 960,906 (340)

The role of spectral characteristics of urine in bladder cancer diagnostics. [PDF]

open access: yesSci Rep
Velísková M   +6 more
europepmc   +1 more source

AIEgen‐Based and Smartphone‐Assisted On‐Site Quantitation of Cystatin C for Monitoring of Chronic Kidney Disease

open access: yesAggregate, EarlyView.
By employing new protein‐templated AIEgen Ir@BSA as the phosphorescence signal indicator and papain as the biomolecular recognition element, a straightforward protocol for Cys C quantitation has been developed. On‐site quantitation of Cys C in clinical serum samples has been successfully demonstrated using a smartphone‐based portable phosphorescence ...
Shuqi Xia   +7 more
wiley   +1 more source

Engineered Nile Red Derivatives‐Mediated Efficient Phototherapy Against Drug‐Resistant Bacteria and Monkeypox Virus

open access: yesAggregate, EarlyView.
TPAOMCN exhibits optimal reactive oxygen species (ROS) generation and photothermal conversion properties. TPAOMCN nanofibers (NFs)‐mediated photodynamic (PDT) and photothermal therapy (PTT) achieved efficient eradication against multidrug‐resistant bacteria and viruses, alleviating inflammation response, promoting wound healing, and providing a ...
Laiping Fang   +9 more
wiley   +1 more source

New equations to estimate 24-h urinary creatinine excretion. [PDF]

open access: yesSci Rep
Callo-Quinte G   +3 more
europepmc   +1 more source

AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing

open access: yesAdvanced Intelligent Discovery, EarlyView.
AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley   +1 more source

Enhanced Multitask Learning with Attention Sparse Routing Mechanism for Intelligent Diabetes Prediction

open access: yesAdvanced Intelligent Systems, EarlyView.
The model leverages patient time‐space information for pattern feature representations. Encoders extract first and second‐order features, aggregated with categorical embeddings and dense features. Task‐specific and shared experts use gated networks, with a dispatch layer routing information for diabetes risk evaluation and blood glucose prediction ...
Yingshuai Wang   +8 more
wiley   +1 more source

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