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The Last Useful Man
The overfitted brain hypothesis
some parts of you only emerge for certain people - by maja
The epidemic of constant communication - by Amanda Brown
To be loved is to be known - by Carina - I've Been Thinking
the “let them” theory - by lina - The Science of Being
Isabella Tomkins | LinkedIn
In-Woo Park | Substack
20170712-Proteome-Informatics.mp4 - YouTube
Integrated multi-omics analysis of Alzheimer’s disease shows molecular signatures associated with disease progression and potential therapeutic targets | Scientific Reports
Multiple ways to integrate multiomics data – case studies from studying human diseases | Introduction to multi-omics data integration and visualisation
Hoifung Poon at Microsoft Research
Associate Professor Frederic Gachon - UQ Researchers
JCI - Multiomics reveals multilevel control of renal and systemic metabolism by the renal tubular circadian clock
QUT - Professor William Parsonage
QUT - Academic profiles - Associate Professor Jaimi Greenslade
Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction | Nature Medicine
Cultural considerations: providing end of life care for Aboriginal peoples and Torres Strait Islander peoples - Cultural considerations providing end of life care for Aboriginal peoples and Torres Strait Islander peoples - Resources - Promote and practice - Australian Indigenous HealthInfoNet
Challenges and Opportunities with Causal Discovery Algorithms: Application to Alzheimer’s Pathophysiology | Scientific Reports
Deep learning of causal structures in high dimensions under data limitations | Nature Machine Intelligence
Multi-omics single-cell data integration and regulatory inference with graph-linked embedding | Nature Biotechnology
Causal Effects via Propensity Scores | Introduction & Python Code - YouTube
Introducing Conditional Independence and Causal Discovery | by Jakob Runge | Causality in Data Science | Medium
Frederick Eberhardt
Welcome to the Peter Munk Cardiac Centre
Multivariate integration of multi-omics data with mixOmics - YouTube
Prediction of 3D Cardiovascular hemodynamics before and after coronary artery bypass surgery via deep learning | Communications Biology
A point-cloud deep learning framework for prediction of fluid flow fields on irregular geometries
Physical Aspects of Nature | Maths Learning Centre | University of Adelaide
I'm trying to learn about biostatitics, integrating metagenomic data and how...
NNFC Workshop: Simon Rasmussen, Integrating patient level multiomics data using deep learning models - YouTube
Why are people building AI systems? – BlueDot Impact
Homepage of Sethu Sankaran
AI in computational medicine
Cardiac MRI analysis | MIT CSAIL
Polina Golland
Diagnosing Aneurysms in a Heartbeat with Ansys
Patient specific computational fluid dynamics reveal localized flow patterns predictive of post-LVAD aortic incompetence - PMC
SimVascular
Publications | Cardiovascular Biomechanics Computation Lab
High-Order Cardiomyopathy Human Heart Model and Mesh Generation - PMC
AUSTRALIAN CENTRE FOR COMPLEX INTEGRATED SURGICAL SOLUTIONS (ACCISS) | Translational Research Institute
Van Dau Profile | Griffith University
Dr Mark Allenby | UQ Experts
Application of Patient-Specific Computational Fluid Dynamics in Coronary and Intra-Cardiac Flow Simulations: Challenges and Opportunities - PMC
Machine learning–accelerated computational fluid dynamics | PNAS
About - IDHA
Education | Heung Bae Kim | LinkedIn
CornellX: A Hands-on Introduction to Engineering Simulations | edX
Probabilistic Stable/Latent Diffusion Models - Artificial Intelligence at UQ - University of Queensland