Melbourne, Australia · Est. 2019

Advancing AI Research
for Better Healthcare

RocketPunch is a Melbourne-based innovation research lab pushing the boundaries of artificial intelligence and medical AI — in partnership with Deakin University, La Trobe University, and RMIT University.

Explore Our Research → Collaborate With Us

University Partners

12+

Research Projects

Research Themes

Publications

547

Citations

Research Themes

Where AI Meets Medicine

Our research spans the full spectrum of artificial intelligence applied to healthcare — from diagnostic imaging to clinical decision support, from natural language processing in electronic health records to predictive analytics for patient outcomes.

🧠

Diagnostic Imaging AI

Deep learning models for radiology, pathology, and dermatology imaging — improving early detection accuracy for cancer, cardiovascular disease, and neurological conditions.

CNNVision TransformersMultimodal

🏥

Clinical Decision Support

AI-powered systems that assist clinicians with real-time diagnostic suggestions, treatment recommendations, and risk stratification based on patient data.

LLMRAGFHIR

💊

Drug Discovery & Development

Machine learning approaches for molecular property prediction, drug-target interaction modelling, and accelerating the pipeline from discovery to clinical trial.

GNNReinforcement LearningMolecular AI

📊

Predictive Analytics

Forecasting patient outcomes, hospital readmission risk, and disease progression using electronic health records and longitudinal patient data.

Time SeriesSurvival AnalysisEHR

📱

mHealth & Data Visualisation

Mobile health platforms, data collection mechanisms, and user-centred visualisation frameworks for health and wellness applications.

mHealthData VizUX

🧬

Genomic & Precision Medicine

AI-driven analysis of genomic data for personalised treatment strategies, biomarker discovery, and understanding disease at the molecular level.

GenomicsBioinformaticsPersonalised

⚖️

AI Ethics & Governance

Researching the ethical deployment of AI in healthcare — fairness, accountability, transparency, and regulatory frameworks for clinical AI systems.

FairnessExplainabilityGovernance

University Partners

Collaborating with Melbourne's Best

We work alongside leading research institutions to bridge the gap between academic breakthroughs and real-world clinical impact.

Deakin University

Research Partner

Collaborating on AI for health data analytics, digital health innovation, and applied machine learning through the Applied Artificial Intelligence Institute (A²I²) and Institute for Intelligent Systems Research and Innovation (IISRI).

La Trobe University

Research Partner

Joint research in digital health, medical imaging AI, and biomedical informatics. Co-supervising PhD candidates and co-authoring publications through the La Trobe Institute for Molecular Science (LIMS) and Faculty of Health Sciences.

RMIT University

Research Partner

Partnering on computer vision for medical imaging, AI ethics in healthcare, and translational research through the ARC Training Centre in Cognitive Computing for Medical Technologies and the Digital Health CRC.

2019

Founded in Melbourne

About Us

Research That Translates to Impact

RocketPunch is a Melbourne-based AI research lab dedicated to advancing artificial intelligence with a focus on medical and healthcare applications. We exist at the intersection of cutting-edge machine learning and real-world clinical need.

Founded in 2024, we collaborate with three of Victoria's leading universities to bridge academic research and practical healthcare solutions. Our team of researchers, engineers, and clinicians work together to build AI systems that are accurate, ethical, and deployable.

✦Mission-driven: Every project must have a clear path to clinical or healthcare impact

✦Ethically grounded: Fairness, transparency, and accountability baked into our research methodology

✦Open science: We publish openly and share reproducible research with the community

✦Industry-connected: Translating research into deployable systems through industry partnerships

Recent Publications

Peer-Reviewed Research

Our team publishes in leading AI and medical informatics venues. Here's a selection of recent work from our researchers and university collaborators.

Advanced calibration of mortality prediction on cardiovascular disease using feature-based artificial neural network

A. Bonti et al. · 2022 · Expert Systems with Applications · 13 citations

Journal

Mortality Prediction of Patients With Cardiovascular Disease Using Medical Claims Data Under Artificial Intelligence Architectures

A. Bonti et al. · 2020 · JMIR Medical Informatics · 5 citations

Journal

Data Collection Mechanisms in Health and Wellness Apps: Review and Analysis

A. Bonti et al. · 2021 · JMIR mHealth and uHealth · 17 citations

Journal

Toward a Unified mHealth Platform: A Survey of Current User Challenges and Expectations

A. Bonti et al. · 2023 · IEEE Access · 11 citations

Journal

Understanding User Perspectives on Data Visualization in mHealth Apps: A Survey Study

A. Bonti et al. · 2023 · IEEE Access · 13 citations

Journal

An empirical study of automatic wildlife detection using drone-derived imagery and object detection

A. Bonti et al. · 2025 · Multimedia Tools and Applications · 6 citations

Journal

Blockchain-empowered unified services for streamlined traceability in food supply chain: Australian seafood traceability

A. Bonti et al. · 2026 · Scientific Reports

Journal

Improving the user experience of a gambling support and education website using a chatbot

A. Bonti et al. · 2022 · Universal Access in the Information Society · 9 citations

Journal

Our Team

Researchers & Innovators

A multidisciplinary team spanning machine learning, clinical informatics, and AI ethics — working together with university partners to drive medical AI forward.

Alessio Bonti

Founder & Principal Researcher

38 publications, 547+ citations. Expertise in AI for healthcare, mHealth platforms, cardiovascular mortality prediction, and blockchain for health data. Collaborates with Deakin, La Trobe, and RMIT.

Mohamed Abdelrazek

Professor of Software Engineering, Deakin University

7,700+ citations, h-index 42. Leading researcher in software engineering, digital health, and mHealth interventions. Co-authored 20+ publications with the RocketPunch team.

Lianhua Chi

Senior Researcher, La Trobe University

41 publications, 975+ citations. Expertise in graph neural networks, brain network analysis, autism diagnosis AI, and causal discovery. Co-authored cardiovascular AI prediction research with the team.

Advancing AI Research for Better Healthcare

Where AI Meets Medicine

Diagnostic Imaging AI

Clinical Decision Support

Drug Discovery & Development

Predictive Analytics

mHealth & Data Visualisation

Genomic & Precision Medicine

AI Ethics & Governance

Collaborating with Melbourne's Best

Deakin University

La Trobe University

RMIT University

Research That Translates to Impact

Peer-Reviewed Research

Advanced calibration of mortality prediction on cardiovascular disease using feature-based artificial neural network

Mortality Prediction of Patients With Cardiovascular Disease Using Medical Claims Data Under Artificial Intelligence Architectures

Data Collection Mechanisms in Health and Wellness Apps: Review and Analysis

Toward a Unified mHealth Platform: A Survey of Current User Challenges and Expectations

Understanding User Perspectives on Data Visualization in mHealth Apps: A Survey Study

An empirical study of automatic wildlife detection using drone-derived imagery and object detection

Blockchain-empowered unified services for streamlined traceability in food supply chain: Australian seafood traceability

Improving the user experience of a gambling support and education website using a chatbot

Researchers & Innovators

Alessio Bonti

Mohamed Abdelrazek

Lianhua Chi

Let's Build the Future of Medical AI

Advancing AI Research
for Better Healthcare