24 citations · 26 across the 6 of their papers we have counts for
6 papers
Engineering FAIR Privacy-preserving Applications that Learn Histories of Disease
Ines N. Duarte, Praphulla M. S. Bhawsar, Lee K. Mason +4
A recent report on "Learning the natural history of human disease with generative transformers" created an opportunity to assess the engineering challenge of delivering user-facing…
Fractal Language Modelling by Universal Sequence Maps (USM)
Jonas S Almeida, Daniel E Russ, Susana Vinga +6
Motivation: With the advent of Language Models using Transformers, popularized by ChatGPT, there is a renewed interest in exploring encoding procedures that numerically represent s…
Leveraging large language models for structured information extraction from pathology reports
Jeya Balaji Balasubramanian, Daniel Adams, Ioannis Roxanis +4
Background: Structured information extraction from unstructured histopathology reports facilitates data accessibility for clinical research. Manual extraction by experts is time-co…
TMA-Grid: An open-source, zero-footprint web application for FAIR Tissue MicroArray De-arraying
Aaron Ge, Monjoy Saha, Maire A. Duggan +6
Background: Tissue Microarrays (TMAs) significantly increase analytical efficiency in histopathology and large-scale epidemiologic studies by allowing multiple tissue cores to be s…
FastImpute: A Baseline for Open-source, Reference-Free Genotype Imputation Methods -- A Case Study in PRS313
Aaron Ge, Jeya Balasubramanian, Xueyao Wu +2
Genotype imputation enhances genetic data by predicting missing SNPs using reference haplotype information. Traditional methods leverage linkage disequilibrium (LD) to infer untype…
Wasm-iCARE: a portable and privacy-preserving web module to build, validate, and apply absolute risk models
Jeya Balaji Balasubramanian, Parichoy Pal Choudhury, Srijon Mukhopadhyay +4
Objective: Absolute risk models estimate an individual's future disease risk over a specified time interval. Applications utilizing server-side risk tooling, such as the R-based iC…