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PLP-Pipeline Series Part 3: Lessons Learned, Key Challenges, and What Comes Next

Reflections on building an end-to-end PLP pipeline in Julia tools - lessons learned, current challenges, and future directions.

Kosuri Lakshmi Indu

PLP-Pipeline Series Part 2: From Raw Clinical Data to Predictive Models

Part 2 of the PLP-Pipeline blog series – how we preprocess OMOP CDM data, extract features, and train ML models using Julia tools

Kosuri Lakshmi Indu

PLP-Pipeline Series Part 1: From Research Question to Cohort Construction

Kicking off the PLP-Pipeline blog series - how we define research questions and construct cohorts using OMOP CDM and Julia tools.

Kosuri Lakshmi Indu

GSoC ’24: Adding dataset-wide functions and integrations of augmentations

MedPipe3D - Medical segmentation pipeline with dataset-wide functions and augmentations.

GSoC ’24: Adding functionalities to medical imaging visualizations

A summary of my project for Google Summer of Code - 2024

GSoC Co-Mentoring Experience

My experience as a GSoC co-mentor within JuliaHealth

Mounika Thakkallapally

GSoC ’24: Developing Tooling for Observational Health Research in Julia

A summary of my project for Google Summer of Code - 2024

Jay Sanjay Landge

GSoC ’24: Enhancements to KomaMRI.jl GPU Support

A summary of my project for Google Summer of Code

GSoC ’24: IPUMS.jl Small Project

A summary of my project for Google Summer of Code

Michela Rocchetti

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