JADBio: Accelerate Drug Discovery with No-Code Machine Learning
JADBio, a platform available on the AWS marketplace, offers no-code machine learning, enabling sophisticated drug discovery. It features AutoML that automates biomarker discovery, understands their role according to your research needs and significantly disrupts drug discovery times and costs.
Features
- No-Code Machine Learning: With JADBio's easy-to-use interface, anyone can automate the process of biomarker discovery, eliminating the need for advanced coding skills.
- AutoML: This feature automates predictive modeling for knowledge discovery and feature selection, reducing the time required for drug discovery.
- Multi-Omics Data Compatibility: The platform can parse multi-omics data such as Genomics, Transcriptome, Metagenome, Proteome, Metabolome, Phenotype/Clinical Data, and Images, providing valuable insights quickly and efficiently.
- Trusted Partners: JADBio is trusted by leading healthcare institutions and industry partners for precision health and medicine.
Use Cases:
- Biomarker Discovery: Researchers can use JADBio to automatically discover new biomarkers.
- Drug Repurposing: Scientists working on chronic diseases and aging can leverage JADBio's machine learning capabilities to identify new uses for existing drugs.
- Lead Identification: In the field of infectious diseases, JADBio can aid in identifying potential compounds for drug development.
JADBio is revolutionizing drug discovery with its no-code machine learning platform, automating biomarker discovery, understanding their role according to your research needs. This widely accessible tool can significantly speed up drug discovery, lower costs and foster important research developments.
Jadbio Alternatives:
1. Amazon Rekognition
Automates image and video analysis with machine learning through Amazon Rekognition.
2. StackML
Browser-based machine learning integration for easy app development with real-time analytics.
3. Cerebrium
Cerebrium enables easy training, deployment, and monitoring of serverless machine learning models.
4. MLnative
Streamlines machine learning model deployment, management, and inference with secure efficiency.
5. SynthaceGPT
Streamlines lab experiments with automated, no-code, data-driven research platform.
6. SapientML
SapientML generates high-quality predictive task pipelines using AutoML technology.
