Portfolio Analytics
To automate the identification of themes within CDC-authored publications, providing richer information for science prioritization, evaluation, and communication.
Assessing Large Language Models for Synthetic Survey Data Generation
Survey data de-identification is crucial for the NCHS to maximize data utility while protecting privacy, but determining and applying modern best practices requires further resear…
ATSDR Toxicological Assistant chatbot
The ATSDR Toxicological Assistant chatbot via the CDC Chatbot has access to query 180 comprehensive toxicological profiles (A-Z Index of Tox Profiles | Toxicological Profiles | AT…
Pathogen strain characterization from mixed strain samples
We use the DNA sequences at specific places in pathogen genomes to create a "DNA fingerprint" that allows us to link cases of diarrheal illness and identify potential foodborne ou…
Determining if multiple isolates share the same antimicrobial resistant plasmids using short read whole genome sequencing data
Determining if multiple isolates share the same antimicrobial resistant plasmids using short read whole genome sequencing data.
Leveraging AI for the Creation of Synthetic Datasets
We aim to generate synthetic datasets that will support training, testing, and software development improving the overall development process
Automating Influenza Vaccine Virus Data Processing
Information for candidate vaccine virus (CVV) data from public-facing websites is highly labor intensive to gather. Previously R scripts—text files with computer programming comma…
Lineage Assignment by Extended Learning (LABEL)
Identifying, classifying, and annotating influenza sequences.
Enhancing influenza A risk assessment rubrics: leveraging predictive correlates and machine learning from in vivo experiments.
The Pathogenesis Laboratory Team (Immunology and Pathogenesis Branch, Influenza Division, NCIRD) routinely performs influenza A virus (IAV) risk assessment studies in the ferret a…
Data Standardization with LLM
The purpose of this project is to enhance data standardization efforts by leveraging large language models. to improve data cleaning and standardization processes, ultimately enha…
Using Databricks Genie for Routine Immunization Data Insights
The volume of immunization data reported quarterly is approximately 5 billion records. Analyzing this data to gather high-level insights requires complex coding and manipulation.…
Beryllium exposure reconstruction
Using machine learning to extract information about job title and task and assign relevant exposure codes.
Mining.AI
Mining.AI is an innovative initiative led by a small team at NIOSH tasked to develop a domain-specific generative LLM AI platform focused on improving health and safety in the min…
Deep Research for Public Health
Public health agencies like the CDC face challenges in efficiently processing large volumes of complex information, conducting evidence-based research, and producing timely, high-…