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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Koneksa stands out as a prominent digital biomarker firm catering to the pharmaceutical and biotechnology sectors, focusing on the creation, testing, and validation of digital biomarkers that assist clients in assessing how treatments affect patients. Established in 2013, Koneksa delivers comprehensive remote clinical trial support by integrating digital health technologies, therapeutic knowledge, and swift, user-friendly remote data gathering to enhance understanding of patient health outcomes. Their innovative and validated data algorithms are designed for immediate use in treatment development initiatives, facilitating the detection of signals more rapidly than conventional methods. The company's cloud-based Software as a Service (SaaS) platform enables real-time integration of multiple endpoints, providing instant access to data and supporting informed, cost-effective decision-making early in the trial process. Additionally, this platform’s capability to gather extensive remote data at higher frequencies presents opportunities for obtaining ecologically valid measures, which can lead to a reduction in sample size while maintaining the integrity of the research. By continuously evolving their tools and methodologies, Koneksa aims to redefine how clinical trials are conducted in the modern age.

Description

Explore the distinct advantages of nQuery, from sample size and power analysis to innovative adaptive trial design, and experience the ultimate trial design platform that accelerates clinical trials while reducing expenses and enhancing success rates. Learn why nQuery is the preferred option for researchers and biostatisticians globally, who are faced with the challenges of growing trial complexity, escalating costs, and evolving regulations. Effortlessly calculate sample sizes for FDA and EMA submissions with our quick, spreadsheet-style interface that requires no coding skills. We cater to both Frequentist and Fixed-term trials, providing straightforward reporting for all stakeholders involved in the trial process. Gain realistic forecasts of expected timelines and costs, ensuring your sample size aligns with both scientific and financial parameters. With the ability to fine-tune calculations using the multiple factors tool, nQuery offers over 1000 procedures for sample size and power calculations, enabling you to swiftly determine sample sizes across various scenarios, ultimately streamlining your clinical research efforts. Take advantage of nQuery's comprehensive features to navigate the complexities of modern clinical trials with confidence.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Koneksa

Founded

2013

Country

United States

Website

www.koneksahealth.com

Vendor Details

Company Name

Statistical Solutions

Country

United States

Website

www.statsols.com

Product Features

Clinical Trial Management

21 CFR Part 11 Compliance
Document Management
Electronic Data Capture
Enrollment Management
HIPAA Compliant
Monitoring
Patient Database
Recruiting Management
Scheduling
Study Planning

Product Features

Clinical Trial Management

21 CFR Part 11 Compliance
Document Management
Electronic Data Capture
Enrollment Management
HIPAA Compliant
Monitoring
Patient Database
Recruiting Management
Scheduling
Study Planning

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