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What is Sorcero?

Sorcero is a cutting-edge platform that utilizes artificial intelligence to transform complex medical information into actionable insights tailored for the life sciences industry. It features a variety of tools, including Medical Insights Management, Intelligent Publication Monitoring, Plain Language Summaries, and Intelligent Systematic Literature Review, all designed to integrate and interpret both structured and unstructured data from multiple sources. By harnessing AI to analyze medical themes, research notes, and findings, Sorcero delivers precise and high-quality answers to intricate medical questions, thereby empowering teams in Medical Affairs, Pharmacovigilance, and Regulatory Affairs to make more informed decisions. The platform not only accelerates literature monitoring and aids in content generation but also promotes evidence-based decision-making, which significantly enhances patient outcomes while optimizing operational workflows. Furthermore, Sorcero's advanced features contribute to improved collaboration among various stakeholders in the healthcare ecosystem, fostering a more interconnected approach to medical research and practice. Ultimately, this innovative solution stands to revolutionize the way life sciences professionals access and utilize critical medical insights.

What is JADBio AutoML?

JADBio is an automated machine learning platform that leverages advanced technology to facilitate machine learning without the need for programming skills. It addresses various challenges in the field of machine learning through its cutting-edge algorithms. Designed for ease of use, it enables users to conduct complex and precise analyses regardless of their background in mathematics, statistics, or coding. Tailored specifically for life science data, especially in the realm of molecular data, it adeptly manages challenges associated with low sample sizes and the presence of high-dimensional measurements that can number in the millions. For life scientists, it is crucial to pinpoint predictive biomarkers and features while gaining insights into their significance and contributions to understanding molecular mechanisms. Furthermore, the process of knowledge discovery often holds greater importance than merely creating a predictive model. JADBio places a strong emphasis on feature selection and interpretation, ensuring that users can extract meaningful insights from their data. This focus enables researchers to make informed decisions based on their findings.

Media

Media

Integrations Supported

Microsoft Excel
Microsoft Word
Reddit

Integrations Supported

Microsoft Excel
Microsoft Word
Reddit

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Sorcero

Date Founded

2017

Company Location

United States

Company Website

www.sorcero.com

Company Facts

Organization Name

JADBio

Date Founded

2019

Company Location

United States

Company Website

jadbio.com

Categories and Features

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

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