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Average Ratings 0 Ratings
Description
We combine clinical and experimental data through machine learning techniques to explore human disease biology and promote the development of precision medicine. Our innovative Contingent AI™ technology comprehends the intricate relationships present in the data, yielding advanced insights. To combat data bias, we refine our machine learning models based on decisions made during the pre-processing and feature engineering phases. We utilize zebrafish, cellular, and various phenotypic animal models to test and confirm in silico predictions through in vivo experiments, along with genetic modifications conducted both in vitro and in vivo to enhance translation. By employing active learning and computer vision on validated models that focus on cardiac, central nervous system, and rare disorders, we swiftly integrate new data into our machine learning frameworks, allowing for continuous improvement and adaptation in our methodologies. This iterative process not only enhances the accuracy of our predictions but also enables us to stay at the forefront of research in precision medicine.
Description
alvaDesc is a cheminformatics tool designed for the computation and examination of molecular descriptors, fingerprints, and structural patterns, catering to QSAR, QSPR, read-across, and machine learning needs. It is capable of calculating over 5,000 molecular descriptors across various dimensions (0D–3D), which encompass constitutional, topological, geometrical, electronic, physicochemical, and fragment-based categories.
In addition, the software produces molecular fingerprints and structural pattern counts that facilitate similarity analysis, clustering, and classification tasks. It comes equipped with integrated tools that allow for descriptor filtering and correlation analysis, ensuring that the modeling process is both robust and reproducible.
Furthermore, alvaDesc offers seamless integration with KNIME and Python, making it easy to link with external data analysis and machine learning workflows. Its widespread use in both academic and industrial research is bolstered by comprehensive documentation and an array of scientific publications, which contribute to its reputation as a reliable resource in the field. Moreover, users appreciate its user-friendly interface that enhances the overall experience while conducting complex cheminformatics tasks.
API Access
Has API
API Access
Has API
Integrations
KNIME Analytics Platform
Python
alvaBuilder
alvaModel
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
BioSymetrics
Country
United States
Website
www.biosymetrics.com/platform
Vendor Details
Company Name
Alvascience
Founded
2018
Country
Italy
Website
www.alvascience.com