Results 81 to 90 of about 454,593 (211)

A Bioinspired Three‐Dimensional High‐Curvature Nano‐Interface Integrated Microfluidic Chip for Small Extracellular Vesicles Enrichment and Machine Learning‐Assisted Prostate Cancer Precision Diagnosis

open access: yesAdvanced Science, EarlyView.
A biotin‐modified artificial insertion peptide functionalized three‐dimensional high‐curvature‐TiO2 nano‐interface was engineered in a microfluidic chip to improve the isolation efficiency of small extracellular vesicles (sEVs). This chip balanced affinity, releasability, and extendibility, enabling high‐throughput recovery of sEVs for downstream ...
Le Wang   +7 more
wiley   +1 more source

Small Extracellular Vesicles‐Derived Circ6718 Unlocks Stromal Remodeling and Serves as a Biomarker in Gastric Cancer

open access: yesAdvanced Science, EarlyView.
sEVs‐circ6718 serves as a promising serum biomarker for gastric cancer early diagnosis and prognosis, promoting malignant transformation in gastric cancer cells and GC‑MSC differentiation into CAFs. sEVs‑circ6718 holds potential as a biomarker for the early diagnosis and prognostic assessment of gastric cancer.
Fan Zhang   +7 more
wiley   +1 more source

Carboranyl‐Curcuminoids for the Neutron Capture‐Based Treatment of Amyloid Aggregates in Alzheimer's Disease

open access: yesAdvanced Science, EarlyView.
The 10B‐enriched monocarbonyl analog of curcumin (BMAC) 10B‐9 enables site‐specific Boron Neutron Capture Therapy (BNCT) on amyloid‐β (Aβ) fibrils. Neutron irradiation induces histidine oxidation and fibril destabilization, as revealed by 1H‐NMR and FESEM analyses.
Sebastiano Micocci   +13 more
wiley   +1 more source

Urine and cerebrospinal fluid biomarkers for early glioma detection: a systematic review. [PDF]

open access: yesDiagn Progn Res
Paterson C   +7 more
europepmc   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

Targeting Supramolecular Active Complexes of Nav1.7/Nav1.8 to Relieve Chronic Neuropathic Pain

open access: yesAdvanced Science, EarlyView.
In mice and patients with severe chronic neuropathic pain (NP), Nav1.7, Nav1.8, TrkB, and five cytoskeletal proteins form supramolecular active complexes (SMACs) with polygonal lattice structures as noxious signal amplifiers in dorsal root ganglion (DRG) neurons.
Liting Sun   +27 more
wiley   +1 more source

Ecopipam, a Dopamine D1 Receptor Antagonist: Pharmacokinetics, Mass Balance, and Metabolism in Healthy Volunteers. [PDF]

open access: yesClin Transl Sci
Schmith VD   +7 more
europepmc   +1 more source

Generative AI‐Driven Accelerated Discovery of Passivation Molecules for Perovskite Solar Cells

open access: yesAdvanced Science, EarlyView.
A generative artificial intelligence (AI) framework combining a discriminative machine learning model (SMILES‐X) and a generative language model (GPT‐2) autonomously discovers new molecular passivators for perovskite solar cells (PSCs). Through an iterative design loop, over 100 000 candidates are generated and screened, and randomly selected molecules
Adroit T. N. Fajar   +7 more
wiley   +1 more source

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