AI capability statements | Medicine & Health

The Faculty of Medicine and Health has collated the following capability statements showcasing our researchers’ expertise and achievements in the field of artificial intelligence. By presenting these comprehensive profiles, we aim to foster collaborations with industry partners, academic institutions, and research organisations who are seeking to leverage AI to solve complex health challenges and drive forward transformative healthcare solutions.

Results

Showing 21 out of 21 results

Title	Organisation	Document
Machine Learning in Paediatric Precision Oncology	Childrens Cancer Institute	Link to document
Capacity and capability of AI and bioinformatics at Microbiome Research Centre	Microbiome Research Centre, UNSW	Link to document
AI research at The Kirby Institute	Kirby Institute, UNSW	Link to document
Understanding health service system needs for people with intellectual disability	Department of Developmental Disability Neuropsychiatry, UNSW	Link to document
AI for mental health and suicide prevention	Centre for Big Data Research in Health, UNSW; Black Dog Institute	Link to document
Research excellence in adaptive clinical trials and and digital phenotyping for mental health	Black Dog Institute	Link to document
CaVa using AI to enabling research into unwarranted variation in cancer care and outcomes	South Western Sydney Clinical Campuses, UNSW; Ingham Institute for Applied Medical Research	Link to document
Using big data and AI to generate real-world evidence for medical devices and technologies	Centre for Big Data Research in Health, UNSW	Link to document
Foundation models for electronic medical records	Centre for Big Data Research in Health, UNSW	Link to document
Deep learning and mechanistic computational models for preclinical research	School of Clinical Medicine, UNSW	Link to document
AI-guided discovery of microbiome-based therapeutics	School of Biomedical Sciences, UNSW	Link to document
AI-augmented Systems Microscopy analyses of cell phenotype heterogeneity for precision diagnostics and drug discovery	School of Biomedical Sciences, UNSW	Link to document
AI to identify new targets and optimal T cell responses for immunotherapies against cancer and autoimmunity	School of Biomedical Sciences, UNSW	Link to document
Exploring natural language processing tools for clinical text to transform medical data	Centre for Big Data Research in Health, UNSW	Link to document
Prince of Wales Hospital Medical Imaging Department	Prince of Wales Hospital; Graduate School of Biomedical Engineering, UNSW	Link to document
A radar-based unobtrusive activity monitoring system	Graduate School of Biomedical Engineering, UNSW	Link to document
Facilitating access to medical data for AI model development	Centre for Big Data Research in Health, UNSW	Link to document
Studying the ageing brain MRI using deep learning	Centre for Healthy Brain Ageing, UNSW	Link to document
Computer vision and deep learning for computational biomedical imaging	School of Computer Science and Engineering, UNSW	Link to document
Machine learning and AI approaches in studying molecular alterations in blood cancer: discovering new biology and uncovering novel therapeutic targets	Lowy Cancer Research Centre, UNSW	Link to document
Applying supervised learning techniques to administrative data to investigate the risk of health and social outcomes among people who use alcohol and other drugs	National Drug and Alcohol Research Centre, UNSW	Link to document

Title
Machine Learning in Paediatric Precision Oncology
Organisation
Childrens Cancer Institute
Document
Link to document
Title
Capacity and capability of AI and bioinformatics at Microbiome Research Centre
Organisation
Microbiome Research Centre, UNSW
Document
Link to document
Title
AI research at The Kirby Institute
Organisation
Kirby Institute, UNSW
Document
Link to document
Title
Understanding health service system needs for people with intellectual disability
Organisation
Department of Developmental Disability Neuropsychiatry, UNSW
Document
Link to document
Title
AI for mental health and suicide prevention
Organisation
Centre for Big Data Research in Health, UNSW; Black Dog Institute
Document
Link to document
Title
Research excellence in adaptive clinical trials and and digital phenotyping for mental health
Organisation
Black Dog Institute
Document
Link to document
Title
CaVa using AI to enabling research into unwarranted variation in cancer care and outcomes
Organisation
South Western Sydney Clinical Campuses, UNSW; Ingham Institute for Applied Medical Research
Document
Link to document
Title
Using big data and AI to generate real-world evidence for medical devices and technologies
Organisation
Centre for Big Data Research in Health, UNSW
Document
Link to document
Title
Foundation models for electronic medical records
Organisation
Centre for Big Data Research in Health, UNSW
Document
Link to document
Title
Deep learning and mechanistic computational models for preclinical research
Organisation
School of Clinical Medicine, UNSW
Document
Link to document
Title
AI-guided discovery of microbiome-based therapeutics
Organisation
School of Biomedical Sciences, UNSW
Document
Link to document
Title
AI-augmented Systems Microscopy analyses of cell phenotype heterogeneity for precision diagnostics and drug discovery
Organisation
School of Biomedical Sciences, UNSW
Document
Link to document
Title
AI to identify new targets and optimal T cell responses for immunotherapies against cancer and autoimmunity
Organisation
School of Biomedical Sciences, UNSW
Document
Link to document
Title
Exploring natural language processing tools for clinical text to transform medical data
Organisation
Centre for Big Data Research in Health, UNSW
Document
Link to document
Title
Prince of Wales Hospital Medical Imaging Department
Organisation
Prince of Wales Hospital; Graduate School of Biomedical Engineering, UNSW
Document
Link to document
Title
A radar-based unobtrusive activity monitoring system
Organisation
Graduate School of Biomedical Engineering, UNSW
Document
Link to document
Title
Facilitating access to medical data for AI model development
Organisation
Centre for Big Data Research in Health, UNSW
Document
Link to document
Title
Studying the ageing brain MRI using deep learning
Organisation
Centre for Healthy Brain Ageing, UNSW
Document
Link to document
Title
Computer vision and deep learning for computational biomedical imaging
Organisation
School of Computer Science and Engineering, UNSW
Document
Link to document
Title
Machine learning and AI approaches in studying molecular alterations in blood cancer: discovering new biology and uncovering novel therapeutic targets
Organisation
Lowy Cancer Research Centre, UNSW
Document
Link to document
Title
Applying supervised learning techniques to administrative data to investigate the risk of health and social outcomes among people who use alcohol and other drugs
Organisation
National Drug and Alcohol Research Centre, UNSW
Document
Link to document