Anonymized dataset of COVID-19 cases with a focus on radiological imaging. This includes images (x-ray / ct) with extensive metadata, such as admission-, ICU-, laboratory-, and patient master-data.
A novel concept for generating knowledge and gaining insights into laboratory data. You will be able to efficiently and easily explore your laboratory data from different perspectives.
AI-based laboratory data extraction from clinical documents using NLP and OCR
R-based analysis of hyaluronan (HA) ELISA data, including 4PL standard-curve modeling, sample concentration estimation, quality assessment, and visualization.
Code for calculations and utilities made for laboratories of Physics Major at Universidad de Los Andes, Colombia. This repository belongs to Thomas Andrade H. and Juan C. Rojas V.
Python desktop app for analyzing triaxial test data, generating Mohr circles, and fitting Mohr–Coulomb failure envelopes.
A collection of resources for applying data science in laboratory medicine
A suit of codes to plot the results of geotechnical field investigations and laboratory tests in the engineering plot
Medical information system for storing laboratory data with role-based access, audit logging and personal data protection features.
Metadata-first TDMS QA/QC tool for timing checks, split-file continuity, activity review, and optional engineering diagnostics.
Convert supported chromatography results into one auditable Excel workbook.
Materials Zone — independent third-party profile of a public API surface, by API Evangelist. Materials Zone (MaterialsZone) is a materials-informatics platform that centralizes materials R&D data into a single, structured source of truth. Its RESTful API integrates with lab instruments and supports Python scripts and analytical tools, letting teams
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