Clinical Trials
Real-World Data Applications in Clinical Development
Real-World Data Applications in Clinical Development
AI workflows that can combine public datasets such as RWD with firewalled internal data to unlock new insights for clinical and medical teams
Accelerating Advancements
Scalable RWD ingestion
Combine multiple data sources into a single computational workflow
Clinical Development Insights
Drive development programs from strategic plans down to inclusion/exclusion criteria - even protocol design - with a unifed AI workflow built on internal medical data + external RWD
Synthetic Control Arms
Build workflows to act as digital twins of real world patients. Augment solution with new data and models as more comes online in the market
Speed time to Endpoints
Decreased planning cycles and sharper clinical strategies will speed time to endpoints
Our AI Models
Beyond LLMs, we support the best-in-class life sciences research models in our always updated model library
Folding
AlphaFold2 (22x Faster)
Salt accelerates AlphaFold2 inference by 22x, significantly improving its speed. AlphaFold2 is a deep learning model that predicts protein structures from amino acid sequences with high accuracy.
Diffusion
Chroma
Chroma is an open-source, embedding database designed to make it easy to build AI applications with embeddings. It allows you to store, query, and manage embeddings alongside their metadata.
Folding
ColabFold
ColabFold simplifies protein structure prediction by providing a user-friendly interface to run complex algorithms like AlphaFold2 and RoseTTAFold in Google Colab.
Docking
Haddock
HADDOCK (High Ambiguity Driven protein-protein DOCKing) is a flexible docking approach used for modeling biomolecular complexes.
LLM
Llama3
Llama 3, also developed by Meta, is a next generation open source LLM, with improved reasoning, and code generation.
Protein Sequence
ProteinMPNN
ProteinMPNN is a deep learning method for protein sequence design, finding sequences that match a given protein backbone structure.
Our AI Models
Beyond LLMs, we support the best-in-class life sciences research models in our always updated model library.
Folding
AlphaFold2 (22x Faster)
Salt accelerates AlphaFold2 inference by 22x, significantly improving its speed. AlphaFold2 is a deep learning model that predicts protein structures from amino acid sequences with high accuracy.
Diffusion
Chroma
Chroma is an open-source, embedding database designed to make it easy to build AI applications with embeddings. It allows you to store, query, and manage embeddings alongside their metadata.
Folding
ColabFold
ColabFold simplifies protein structure prediction by providing a user-friendly interface to run complex algorithms like AlphaFold2 and RoseTTAFold in Google Colab.
Docking
Haddock
HADDOCK (High Ambiguity Driven protein-protein DOCKing) is a flexible docking approach used for modeling biomolecular complexes.
LLM
Llama3
Llama 3, also developed by Meta, is a next generation open source LLM, with improved reasoning, and code generation.
Protein Sequence
ProteinMPNN
ProteinMPNN is a deep learning method for protein sequence design, finding sequences that match a given protein backbone structure.
Our AI Models
Beyond LLMs, we support the best-in-class life sciences research models in our always updated model library
Folding
AlphaFold2 (22x Faster)
Salt accelerates AlphaFold2 inference by 22x, significantly improving its speed. AlphaFold2 is a deep learning model that predicts protein structures from amino acid sequences with high accuracy.
Diffusion
Chroma
Chroma is an open-source, embedding database designed to make it easy to build AI applications with embeddings. It allows you to store, query, and manage embeddings alongside their metadata.
Folding
ColabFold
ColabFold simplifies protein structure prediction by providing a user-friendly interface to run complex algorithms like AlphaFold2 and RoseTTAFold in Google Colab.
Docking
Haddock
HADDOCK (High Ambiguity Driven protein-protein DOCKing) is a flexible docking approach used for modeling biomolecular complexes.
LLM
Llama3
Llama 3, also developed by Meta, is a next generation open source LLM, with improved reasoning, and code generation.
Protein Sequence
ProteinMPNN
ProteinMPNN is a deep learning method for protein sequence design, finding sequences that match a given protein backbone structure.
Biology. Sooner.
Advance your understanding of biological processes faster with flexible and performant AI.
Biology. Sooner.
Advance your understanding of biological processes faster with flexible and performant AI.