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Investigation of the Relevance of CYP3A4 Inhibition on the Pharmacokinetics of the Novel P2X3 Antagonist Filapixant: Results of In Vitro Explorations and a Fixed-Sequence Clinical Trial with Itraconazole in Healthy Volunteers
Hypersensitized P2X3 receptor signaling has been described to play a role in several disorders, including chronic cough. The goal of our in vitro and in vivo studies was to investigate the biotransformation and the influence of CYP3A4 inhibition on the pharmacokinetics of the selective P2X3 antagonist filapixant. Metabolic turnover of filapixant in human liver microsomes… →
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The establishment and application of an early warning scoring system for neonatal pneumonia based on information technology
CONCLUSION: The application of an early warning scoring system for neonatal pneumonia based on information technology can shorten the time to symptom resolution, improve respiratory status, normalize blood gas indices, and reduce the incidence of complications. →
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Liquid AI Releases LFM2-ColBERT-350M: A New Small Model that brings Late Interaction Retrieval to Multilingual and Cross-Lingual RAG
Liquid AI Releases LFM2-ColBERT-350M: A New Small Model that Brings Late Interaction Retrieval to Multilingual and Cross-Lingual RAG Target Audience Analysis The target audience for the LFM2-ColBERT-350M model primarily includes data scientists, AI researchers, and business managers in tech companies focused on natural language processing (NLP) and information retrieval. These professionals are often tasked with… →
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The Three Obstacles Slowing Responsible AI
Anna & Elena Balbusso/theispot.com In October 2023, New York City released its AI action plan, publicly committing to the responsible and transparent use of artificial intelligence. The plan included guiding principles — accountability, fairness, transparency — and the creation of a new role to oversee their responsible implementation: the algorithm management and policy officer. But… →
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Personalization and Innovation in a Regulated Industry: Experian’s Kathleen Peters
Kathleen Peters brings a background with digital communications companies and tech startups to her role as Experian’s chief innovation officer. On this episode of the Me, Myself, and AI podcast, Kathleen shares a bit about Experian’s Innovation Lab, outlining some of its projects and explaining how the recent democratization of generative AI tools has made… →
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Effect of Valemetostat on the Pharmacokinetics of Midazolam and Digoxin: A Phase 1 Drug-Drug Interaction Study in Patients With Non-Hodgkin Lymphoma
Valemetostat tosylate (valemetostat) is an oral, potent, dual inhibitor of enhancer of zeste homolog (EZH)2/1, under investigation in non-Hodgkin lymphomas (NHLs) and solid tumors. In vitro, it inhibits cytochrome P450 3A (CYP3A) and P-glycoprotein (P-gp) when combined with sensitive CYP3A or P-gp substrates. This drug-drug interaction (DDI) sub-study is part of the phase 1 trial… →
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Computational Modelling Suggests Bacteriostatic Saline Does Not Reverse Botulinum Toxin-Induced Brow Ptosis
Anecdotal reports have recently circulated suggesting that intramuscular injection of bacteriostatic saline (BS)-which contains benzyl alcohol (BnOH)-can reverse botulinum toxin type A (BoNTA)-induced brow ptosis. Given the well-established intracellular persistence of BoNTA’s light chain and its irreversible cleavage of SNAP-25, such rapid functional recovery challenges existing pharmacological understanding. This study employed high-resolution pharmacokinetic/pharmacodynamic (PK/PD) modelling… →
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Cost-effectiveness of office-based, magnetic resonance imaging-guided transperineal versus transrectal prostate biopsy: An economic analysis of the PREVENT trial
CONCLUSIONS: In this model, TP biopsy was more cost-effective than TR from a health care payer perspective. In the setting of increasing concerns about the risk of infection from traditional TR biopsy, these findings suggest that office-based TP biopsy is a more cost-effective population-level alternative. →
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How Exploration Agents like Q-Learning, UCB, and MCTS Collaboratively Learn Intelligent Problem-Solving Strategies in Dynamic Grid Environments
«`html How Exploration Agents like Q-Learning, UCB, and MCTS Collaboratively Learn Intelligent Problem-Solving Strategies in Dynamic Grid Environments Understanding the Target Audience The target audience for this tutorial includes data scientists, machine learning engineers, and business analysts interested in applying reinforcement learning techniques to solve complex problems. These individuals typically work in technology-driven industries and… →