Results 211 to 220 of about 496,699 (309)

Development of a Pregnancy-Specific Physiologically Based Pharmacokinetics (PBPK) Model for Aspirin. [PDF]

open access: yesCPT Pharmacometrics Syst Pharmacol
Collins-Smith A   +5 more
europepmc   +1 more source

First Generation Proteolysis Targeting Chimeras (PROTACs) for the Treatment of Progeria

open access: yesAdvanced Science, EarlyView.
We report the first PROTACs designed to degrade progerin, introducing a novel therapeutic approach for progeria. The best compound, UCM‐18142, significantly reduces progerin levels and improves key disease phenotypes in patient‐derived cells and in the LmnaG609G/G609G mouse model, paving the way for new treatment strategies targeting the root cause of ...
Jon Macicior‐Michelena   +5 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

Correction: Population Pharmacokinetics Analysis of Infliximab in up to 10‑Year‑Old Patients with Paediatric Inflammatory Bowel Disease: Label‑Recommended Dose Fails to Achieve Therapeutic Target Concentration. [PDF]

open access: yesClin Pharmacokinet
Zhao Q   +17 more
europepmc   +1 more source

In Vivo CRISPR Screening Identifies the Glutamate Receptor GRIA2 as Promoting Peritoneal Metastasis of Gastric Cancer via Calcium‐Dependent β‐Catenin Activation

open access: yesAdvanced Science, EarlyView.
We identified GRIA2 as a critical driver of gastric cancer peritoneal metastasis through in vivo CRISPR screening. Mechanistically, GRIA2‐mediated calcium influx inhibits GSK3β and activates Wnt/β‐catenin signaling, driven by glutamate from cancer‐associated fibroblasts.
Jie Sun   +13 more
wiley   +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

Pharmacokinetics of FK 506: Preclinical and clinical studies [PDF]

open access: yes, 1990
Cadoff, E   +10 more
core  

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