Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
JADBio is an automated machine learning platform that uses JADBio's state-of-the art technology without any programming. It solves many open problems in machine-learning with its innovative algorithms. It is easy to use and can perform sophisticated and accurate machine learning analyses, even if you don't know any math, statistics or coding. It was specifically designed for life science data, particularly molecular data. It can handle the unique molecular data issues such as low sample sizes and high numbers of measured quantities, which could reach into the millions. It is essential for life scientists to identify the biomarkers and features that are predictive and important. They also need to know their roles and how they can help them understand the molecular mechanisms. Knowledge discovery is often more important that a predictive model. JADBio focuses on feature selection, and its interpretation.
Description
SquareML is an innovative platform that eliminates the need for coding, making advanced data analytics and predictive modeling accessible to a wider audience, especially within the healthcare field. It empowers users with varying levels of technical ability to utilize machine learning tools without requiring in-depth programming skills. This platform excels in aggregating data from a range of sources, such as electronic health records, claims databases, medical devices, and health information exchanges. Among its standout features are a user-friendly data science lifecycle, generative AI models tailored for healthcare needs, the ability to convert unstructured data, a variety of machine learning models to forecast patient outcomes and disease advancement, and a collection of pre-existing models and algorithms. Additionally, it facilitates smooth integration with multiple healthcare data sources. By providing AI-driven insights, SquareML aims to simplify data workflows, elevate diagnostic precision, and ultimately enhance patient care outcomes, thereby fostering a healthier future for all.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
No
Google Cloud Platform
No
Microsoft for Startups Founders Hub
No
NVIDIA DRIVE
No
Integrations
Amazon Web Services (AWS)
Yes
Google Cloud Platform
Yes
Microsoft for Startups Founders Hub
Yes
NVIDIA DRIVE
Yes
Pricing Details
Free
Basic plan is FREE. Researchers plan starts at $400/mo
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
JADBio
Founded
2019
Country
United States
Website
jadbio.com
Vendor Details
Company Name
SquareML
Founded
2021
Country
United States
Website
www.squareml.ai/product
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
Yes
Model Training
Yes
Natural Language Processing (NLP)
No
Predictive Modeling
Yes
Statistical / Mathematical Tools
Yes
Templates
No
Visualization
Yes
Predictive Analytics
AI / Machine Learning
Yes
Benchmarking
No
Data Blending
No
Data Mining
No
Demand Forecasting
No
For Education
No
For Healthcare
Yes
Modeling & Simulation
No
Sentiment Analysis
No
Qualitative Data Analysis
Annotations
No
Collaboration
No
Data Visualization
Yes
Media Analytics
No
Mixed Methods Research
No
Multi-Language
No
Qualitative Comparative Analysis
Yes
Quantitative Content Analysis
No
Sentiment Analysis
No
Statistical Analysis
No
Text Analytics
No
User Research Analysis
Yes
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No