Free web app to simulate TCI/TIVA (target-controlled infusion/total intravenous anaesthesia)

Simulate the effect of drugs during total intrevenous anesthesia

Simple calculators for Anaesthesia & Critical Care!

neural models for anesthesia stage transition classification

Code for running the analyses from the article "Propofol destabilizies neural dynamics across cortex"

Python project that simulates a Target Controlled Infusion pump for anesthesia delivery

Repository for CBD project.

A web-based visualization tool for patient-oriented anesthesia risk visualisation

Bridging the gap between theory and bedside practice through open-access, physiologically-weighted, evidence based, decision support tools for anesthesia and intensive care.

Affordable solution for investigating zebra finch iEEG signals

This repository contains the documentation for reproducibility of the study "Preoperative atelectasis in patients with obesity undergoing bariatric surgery: a cross-sectional study".

Supporting code for publication

ML pipeline to estimate anesthesia depth (BIS) from raw EEG signals using frequency-domain features and a Random Forest classifier — inspired by the OpenIBIS study.

🏥 NarcoCalc - Anesthesia Calculator PWA. Intraoperative blood loss calculation, drug dosages, BMI, IBW and more. Built with Vue.js as Progressive Web App.

Anesthesia case log parser with ACGME auto-fill Chrome extension

ORION MNE Consciousness — Fork of MNE-Python (3,246+ stars). Consciousness state detection from EEG/MEG data using Bengio et al. framework. Empirical validation bridge.

Subject-independent Depth of Anaesthesia estimation from single-channel EEG (VitalDB cohort). v2 (frozen): multi-entropy fusion + classical ML, best LOPO RMSE 11.47, r=0.71. v3 (in progress): HEED-Net dual-stream architecture with domain-adversarial learning for an IEEE Transactions submission.

This is the repository for the SAVE score project

Final project for CS50P. Plots a patient on to the starling curve for clinical decision making

🩺 Document observations and reflections from clinical shadowing experiences to enhance medical school applications and professional growth.