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Research supplier
Court Square Group
Court Square Group is listed as a consultant research supplier in the Scientist.com network, with 1 site in 1 country.
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Services
What this research supplier says it provides, as listed in the Scientist.com network.
Type of company: Consultant
Animal Science and Welfare Audits
- Vendor Audits/Qualifications vendor audits for non-GLP and GLP nonclinical CROs throughout the US and Canada.
Clinical Consulting
- Data & Risk Management Determine the extent of the risk and the reliability of the data used to access the aforementioned risk.
- Regulatory Compliance & Documentation Regulatory compliance describes the goal that organizations aspire to achieve in their efforts to ensure that they are aware of and take steps to comply with relevant laws, policies, and regulations.
Clinical Trials
- Clinical Trial Risk Management Plan that maintains treatment quality throughout lifecycle and improve decision making.
- Protocol Optimization via AI/ML Using of artificial intelligence and machine learning techniques to enhance and streamline experimental protocols or operational procedures for improved efficiency, accuracy, and outcomes.
- Statistical Analysis Planning Technical and detailed elaboration of the principal features of the analysis described in the protocol, and includes detailed procedures for executing the statistical analysis of the primary and secondary variables...
- Trial Insights: Clinical Trials Intelligence Dashboard Trial Insights is the industry’s first digital research reporting dashboard made specifically to track ongoing clinical trials, observational, diagnostic and medical device studies. The solution aggregates and curates...
Data Science/Bioinformatics
- Clinical Data Analysis Analysis that helps you make sense of your clinical data
- Clinical Data Management A process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data.
- Clinical Data Science and Modeling A process that helps make sense of your clinical data
- Clinical Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects
- Clinical Trial Integration Analysis The process of combining data from multiple clinical trials to understand categories of drugs and drug behavior in a more global way.
- Discovery Data Integration The process of combining different complex data types together to make it easier to understand or analyze.
Show all 14 in Data Science/Bioinformatics
- Discovery Data Management A process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data for its users.
- Discovery Data Science and Modeling A process that helps make sense of your discovery data
- Discovery Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects.
- Discovery Statistical and Mathematical Modeling Use mathematical variables and equations to establish relationships between data.
- RWE/HEOR Data Science and Modeling A process that helps make sense of your clinical data
- RWE/HEOR Machine Learning/AI Complex analytical approaches to find patterns and make predictions in RWE/HEOR projects
- RWE/HEOR Software Tools Software designed to serve the needs of RWE/HEOR research groups.
- Translational Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects.
Show all 57 services
Drug Development
- Chemistry, Manufacturing and Controls (CMC) Consulting Consultant services related to the development of pharmaceutical and biopharmaceutical drug products that are consistently effective, safe and high quality for consumers.
General Marketing
- Database Management Software Facilitate the collection, tracking and processing of biological facts, statistics and observations.
HEOR
- Decision Analytic Modeling Assess effects, costs and economic outcomes of treatment. These include cost-effectiveness models and budget impact models.
- Health Economics and Outcomes Research (HEOR) Evaluate data collected during drug development to maximize the value of a therapeutic product.
Management Optimization & Development Strategies
- Big Data Computational assistance with analysis of large data sets to reveal patterns, trends and associations
Medical Communications
- Adverse Events Reports Collecting, documenting, and forwarding reports of side effects or safety issues experienced by patients to the pharmacovigilance team for regulatory reporting.
- Data Monitoring Committee (DMC) / Statistical Analysis Center (SAC) Find organizations in order to ensure patient safety and scientific integrity
- Regulatory Submissions and Compliance Draft, format, and submit documents to Pharmaceutical approval agencies according to documentation and guidelines. This includes documents such as NDAs, INDs, SUSARs, AE reporting, RMPs, and PSURS.
Pharmacovigilance
- Adverse Event (AE) and Serious Adverse Event (SAE) Reporting Report unfavourable and unintended events (e.g.: abnormal laboratory results, symptoms or disease associated with treatments) to regulatory bodies via the FDA's Adverse Event Reporting System (FAERS) or other...
- Aggregate Safety Data Review Cumulative summary of safety information regarding the collection, analysis, and submission of aggregated safety data to health authorities at specified intervals.
- Periodic Safety Update Reports (PSURs) / Periodic Benefit-Risk Evaluation Reports (PBRERs) Preparation of safety reports to report adverse events that occurred during a specified time period. Evaluate if safety profile of treatment has changed since last report.
- Pharmacovigilance Audits and Inspections Ensure companies meet their obligations to comply with pharmacovigilance guidelines and report adverse events. Some guidelines include: - having personnel, systems and facilities in place to meet their...
- Pharmacovigilance Case Processing Collect, synthesize, and report adverse events (AE) and adverse drug reactions (ADR) data to allow for successful data analysis, scientific assessment and decision-making based on the safety data associated...
- Risk Management Plans (RMPs) Develop Risk Management plans (RMPs) that include information on a medicine's safety profile and plans for further pharmacovigilance activities designed to gain greater knowledge. These documents also explain how...
Show all 7 in Pharmacovigilance
- Safety Data Management Safety data management involves the collection, analysis, and reporting of data related to the safety of a drug. Including preparing and submitting safety reports to regulatory authorities, which may include periodic...
Real World Evidence & Data
- Data Merging Tools for combining various data sets into a single data set. Includes data consolidation.
- Real World Evidence (RWE) Studies Studies (prospective or retrospective) utilizing data obtained from "real world settings" , and is outside the tight controls of a clinical trial design.
- Real-World Data Acquire real-world data from patients' electronic medical records including clinical information generated during the course of healthcare.
- Real-World Evidence Acquire clinical data from patients' medical records to analyze trends and the frequency of occurrence of different medical conditions.
- RWE/HEOR Data Analysis Analysis that helps you make sense of your RWE/HEOR data
- Secondary Real World Evidence Analyze clinical trial data.
Scientific Data Services
- Automated Image Analysis Automated Image Analysis
- Bioinformatics Bioinformatics is a powerful method of storing, retrieving and analyzing biological data.
- Cloud Computing Request on-demand computer resources specifically relating to large data storage and computing power.
- Data and Text Mining Derive structured data from free text in order to become accessible for data-mining algorithms.
- Data Curation Organize and integrate data collected from various sources to ease data discovery and retrieval.
- Data Infrastructure Design and deploy an information management solution suited to users' specific needs.
Show all 15 in Scientific Data Services
- Data Quality Framework Manage data quality issues to maintain good quality data outputs.
- Database Integration Convert bioinformatics results from multiple data sources (DSs) into a single operational format.
- High-Performance Computing Compute using higher performing parallel processing.
- Large Language Models Use of Large Language models in target discovery, clinical trial design and development, analysis of clinical trial data and regulatory submissions. Services are tailored to the problem, specific context of biopharma.
- Machine Learning/ AI Predict and model an outcome (e.g. disease progression) based on input variables (i.e. features.)
- Scientific Data Visualization Exploration and reporting of data by means of graphs and plots.
- Software Tools Software tool for statistical analysis, data mining, genome annotation or NGS data analysis.
- System Development Plan, create and deploy an information system.
- Systems Network Analysis Analyze and visualize molecular pathways including gene regulatory, protein-protein and drug-target networks.
Where it operates
Sites by country, with the cities in each.
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United States 1 site
About this supplier
In the supplier's own words, as listed in the Scientist.com network.
- Professional associations
- BioFlorida, CSC, MassBio, PABio
- Website
- courtsquaregroup.com
Work with Court Square Group on Scientist.com
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