Mendel AI
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About
Mendel is an AI platform designed to mimic physician level cognitive abilities, supercharging clinical data workflows. The platform unlocks the truth in clinical data at the speed of thought. Mendel couples large language models with a clinical Hypergraph, enabling physician-level cognition. The platform includes Hypercubes: AI Copilots powered by Hypergraph technology, including cohort retrieval, chart review, SQL based analytics, and PHI redaction.
Platform
Task
Features
• clinical trial matching
• ai copilots
• phi de-identification
• patient cohort analysis
• clinical data assets
• clinical search engine
• clinical record ocr
• clinical data abstraction
FAQs
What makes your search actually work?
Two things: First, we couple large language modeling with a proprietary hypergraph that represents the complexity of precision medicine. This approach gets the models closer than any other technology to physician level underst
What is a Hypergraph vs. a Knowledge graph?
A hypergraph is a generalization of a graph, allowing edges to connect any number of vertices. Knowledge graphs are typically based on simple graphs, limiting the representation of complex relationships.
Why can’t I build my own Hypergraph?
Building a clinical Hypergraph requires extensive domain expertise, large-scale data curation, and complex algorithmic development. It is a time-consuming and resource-intensive process that most organizati
Hypergraphs are slow?
Not necessarily. Our Hypergraph technology utilizes innovative algorithms and data structures specifically designed for efficient hypergraph analysis, enabling quick traversal and querying even with a lar
Who are the experts behind the Hypergraph?
Our Hypergraph is developed by a team of AI scientists and clinical experts who have worked together for years to curate knowledge and build a scalable solution tailored to the unique challenges of the c
What ontology are you using?
We have developed a proprietary ontology called the “Generative Ontology” that combines principles of generative grammar and ontology to create a scalable and adaptable system for modeling the clinical dom
Can I trust the logic?
Yes, our Hypergraph is expert-curated and open, allowing clinical teams to audit the logic. The underlying language models are trained on actual medical data and records, not just internet data.
Is this a rule-based system?
No, our platform combines both symbolic reasoning (through the Hypergraph) and machine learning (through language models) to achieve a more comprehensive and flexible approach to clinical reasoning, going
What data does Hypercube Cohort ingest?
Hypercube Cohort processes structured data and unstructured RWD and clinical trials data. This can be pathology reports, genomic data, doctor notes, claims, diagnostic data, EDC data, etc.
How is Hypercube Cohort hosted?
It is cloud agnostic enabling hosting in your environment so that data never leaves and comes with Mendel hosting options.
Is Hypercube Cohort extensible using APIs?
Yes.
How can I try Hypercube Cohort?
We offer "Try Me" environments with synthetic data. Please [contact sales](/contact).
What connectors does Hypercube support?
Hypercube is designed to complement rather than replace your current workflow with upstream and downstream integrations. Integrations with your current data warehouse such as Databricks and Snowflake, most
I already have an LLM trained on my data, does it replace it?
Our architecture is LLM agnostic enabling you to leverage our pre-trained LLM or use the LLMs of your choice and avoid getting locked into on language model. The secret sauce is our proprietary Hypergraph
What data does Hypercube Charts ingest?
Hypercube Charts processes structured data and unstructured RWD and clinical trials data. This can be pathology reports, genomic data, doctor notes, claims, diagnostic data, EDC data, etc.
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