Assist in research on the association between hearing loss and dementia for the NIDCD EARssentials hot topic presentation
Assist in deepening my understanding the statistical methodologies applied in research examining the association between hearing loss and dementia.
AI-generated podcast describing recent advances in methods for analysis of RNA-seq data
Genomic analysis is a rapidly evolving field with advances in analytical methods arising frequently. This makes it difficult to stay on top of new techniques.
Identifying pain vs non-pain research
Identifying pain research studies is complicated because of the ubiquity of pain in language. NIH program staff working in the pain research field need to be able to distinguish p…
HEAL Portfolio Topic Analysis
The HEAL Initiative supports hundreds of pain research studies. It is meant to support pain research that cannot be carried out by an individual IC. One challenge we have is descr…
Determining how federal pain resarch has responded to the Federal Pain Research Strategy.
The IPRCC has asked NIH to evaluate if all FPRS priorities are being addressed by NIH research. The task would require staff to categorize over 6000 grants into up to 13 FPRS prio…
Transformer-Based Metadata Alignment Workflow
Inconsistent data elements and differing definitions in glossaries of metadata structures across research data ecosystems hinder interoperability and FAIR-aligned reuse.
Incorporating External Information into Taxonomy
Time consuming and inefficient process of reading journal articles and manually copying new organism names from those articles into internal databases
Using Llama to summarize PubMed Central (PMC) full text articles that contain information on protein function
Inefficient and manual process to assign accurate function to proteins and protein models
Enhancing the RCDC with Generative AI
The goal is to assess whether generative AI can enhance the RCDC process by minimizing time-consuming, resource-intensive routine and manual tasks and improving overall efficiency.
NCI-DOE Collaboration, MOSSAIC project (Modeling Outcomes using Surveillance Data and Scalable AI for Cancer)
MOSSAIC applies deep learning natural language processing (NLP) and foundation models to population-based cancer data collected by NCI's Surveillance, Epidemiology, and End Result…
TB Case Browser Image Text Detection
Without OCR technology, validation of text on images is manually intensive and, without proper controls, can create the risk of sensitive information coming into the system.
Aivia
Provides machine-learning-based object classification in microscopy applications
Alphafold
Prediction of atomic models from CryoEM specimens.
cryoDGRN
Prediction of protein flexibility and variability
crYOLO
Automated screening of CryoEM specimens
CryoSPARC
Prediction of protein flexibility and variability
DeepEMhancer
Automated screening of CryoEM specimens
FIJI
Provides machine-learning-based object classification in microscopy applications
Imaris
Provides machine-learning-based object classification in microscopy applications
ModelAngelo
Prediction of atomic models from CryoEM specimens.
Pangolin Lineage Classification of SARS-CoV-2 Genome Sequences
Process a high volume of sequence data in real time to identify meaningful mutational patterns while minimizing the need for human effort.
Ptolemy
Automated screening of CryoEM specimens
TB DEPOT (Tuberculosis Data Exploration Portal)
There was a lack of deidentified, multidimensional tuberculosis socioeconomic, clinical, imaging, and pathogen genomic data available for researchers to use in developing models a…
TB Portals Outlier Detection Lambda Function
The quality of chest X-ray (CXR) images uploaded by TB Portals Program partners varied significantly, and as the scale of images increased, NIAID needed a way to identify outliers…