№ files_lp_3_process_9_24878
File format: docx Character count: 3038 File size: 38 KB
Year: 2024
Region / City: Global
Topic: Pharmacology, Drug Discovery, Cardiovascular Disease
Document Type: Research Paper
Organization / Institution: Not specified
Author: Not specified
Target Audience: Healthcare professionals, researchers in pharmacology, and artificial intelligence in medicine
Period of Action: Ongoing
Approval Date: Not specified
Modification Date: Not specified
Keywords: Statins, Artificial Intelligence, Cardiovascular Risk, Pharmacology, HMG-CoA Reductase Inhibitors
Research Areas: Cardiovascular pharmacology, AI in drug discovery
Context: The document is a research paper on the evolution of statins, analyzing the integration of AI-driven insights in optimizing their development and clinical application.
Price: 8 / 10 USD
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Nursing Standardized Procedure for Use of Statins in Management of Patients at High Risk for Cardiovascular Events
Year: 2023
Region / city: Not specified
Subject: Cardiovascular risk management, statin therapy
Document type: Clinical protocol
Institution: ________ Health Center
Author: Not specified
Target audience: Registered Nurses, healthcare providers
Effective date: Not specified
Revision date: Not specified
Last reviewed: Not specified
Period of validity: Not specified
Approval date: Not specified
Date of changes: Not specified
Supplementary Content Table S1. Search Strategy for PubMed, Web of Science, and Embase on Subarachnoid Hemorrhage and Statins
Year: Not specified
Document type: Supplementary material
Content type: Literature database search strategy
Research field: Medicine
Academic field: Neurology
Topic: Subarachnoid Hemorrhage and Statin Therapy
Databases covered: PubMed; Web of Science; Embase
Search components: Controlled vocabulary terms; Title/Abstract keywords; Boolean operators
Key medical concepts: Subarachnoid Hemorrhage; Aneurysmal Subarachnoid Hemorrhage; Statins; Hydroxymethylglutaryl-CoA Reductase Inhibitors
Structure: Sectioned database queries with numbered search expressions
Purpose: Identification of scientific literature related to subarachnoid hemorrhage and statin use
Source context: Supplementary table associated with a biomedical research study
MortarCAPS Submission to the Productivity Commission: Data and Digital in EducationKeeping the Human at the Centre of Productivity in an AI-Driven Future
Year: 2023
Region / City: Australia
Topic: Education, Digital Transformation, AI
Document Type: Policy Submission
Organization: MortarCAPS
Author: MortarCAPS
Target Audience: Government, Educational Institutions, Policymakers, Industry Stakeholders
Effective Date: N/A
Date of Approval: N/A
Date of Revisions: N/A
Victoria: AI-Driven, Business-Ready
Year: 2026
Region / City: Victoria, Melbourne
Theme: Artificial Intelligence, Economic Growth
Document Type: Mission Statement
Organization / Institution: Victorian Government, Department of Jobs, Skills, Industry and Regions
Author: Victorian Government
Target Audience: Industry stakeholders, investors, residents of Victoria
Effective Date: January 2026
Date of Changes: Not specified
ISBN (Print): 978-1-76090-698-6
ISBN (PDF/Online): 978-1-76090-699-3
Person Specification: PDRA for Antiviral XChem Associate for the AI-driven Structure-enabled Antiviral Platform (ASAP) at Diamond
Post Title: PDRA for Antiviral XChem Associate
Division / Department: Life Science
Reports To: Deputy Director Life Sciences
Document Type: Person specification
Purpose: Assessment for recruitment requirements and competencies
Skills and Abilities: Independent and rigorous laboratory work; organisational and time management skills; interpersonal communication across levels of seniority; work within multidisciplinary teams; vendor and supplier interaction management; experimental design and scientific analysis; scientific writing and presentation; management of scientific collaborations
Technical Competencies: Laboratory equipment proficiency and troubleshooting
Knowledge and Experience: Protein production for structural studies; organisational track record; macromolecular structure determination; protein crystallization; protein crystal handling and soaking; experience with Windows and Linux/Unix systems
Professional Qualifications: PhD degree or equivalent qualification or relevant professional experience
Travel Requirement: Occasional travel within the UK and internationally including overnight stays
Field: Structural biology and antiviral research
Institutional Context: AI-driven Structure-enabled Antiviral Platform (ASAP) at Diamond Light Source
AI-Driven Data Governance for Transparent and Fair Student Loan Allocation in Nigerian Public Institutions
Year: 2026
Country: Nigeria
Sector: Higher Education
Topic: Student Loan Allocation and AI Governance
Document Type: Research Article
Institution: Nigerian Public Universities
Author: Not specified
Research Methodology: Quantitative, Simulation Study
Key Concepts: AI, Data Governance, Transparency, Fairness, Public Finance
Target Audience: Policymakers, Academic Researchers
Period Covered: Recent policy initiatives in Nigeria
Keywords: Fair Student, Transparent Artificial Intelligence, AI-Driven Data, Governance
Abstract: Quantitative study on AI-driven data governance improving transparency, fairness, and trust in Nigerian public student loan distribution.
Topics: Best-in-Class Statins AI-Driven