The Future of Healthcare

MEDHACK: FRONTIERS

February 15 – March 4, 2026

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MedHack: Frontiers logo

Who Are MLAI & MYMI?

MLAI

MLAI is a not-for-profit organization fostering a vibrant community passionate about AI. With over 10,000 members from diverse backgrounds—data scientists, AI developers, healthcare professionals, and students—MLAI’s mission is to make AI accessible, fun, and impactful. From monthly lightning talks to large-scale hackathons, MLAI’s events are always oversubscribed, reflecting the community’s strong demand for practical AI applications, real-world challenges, and meaningful professional connections. By consistently delivering value to participants and sponsors, MLAI nurtures innovation and drives forward the future of AI in Australia and beyond.

MYMI

MYMI is a student-led organization affiliated with Monash University, dedicated to bridging the gap between medicine, technology, and entrepreneurship. Our mission is to cultivate the next generation of medtech innovators by providing opportunities for students and professionals to collaborate on cutting-edge projects, gain industry insights, and develop essential skills for the future of healthcare. Through events, workshops, and networking sessions, MYMI empowers students to become proactive contributors to the medtech ecosystem.

The Event

Clinicians, builders and optimists in the same room for one intense weekend of problem-solving. Prototype real solutions to real healthcare bottlenecks.

MedHack: Frontiers brings clinicians, builders and optimists into the same room for one intense weekend of problem-solving at the cutting edge of medical innovation. With professionals from medicine, data science, and AI development all under one roof, we're pushing the boundaries of what's possible in healthcare.

The goal is simple yet ambitious: leverage cutting-edge technology to solve pressing real-world healthcare challenges.

By working closely with doctors, nurses, pharmacists, and industry mentors, participants will create AI-driven solutions that tackle high-impact healthcare challenges. We encourage everyone to participate in both tracts—code your solution in the Small Tract and pitch your ideas in the Big Tract for the complete experience. Whether you're new to AI or a seasoned expert, this hackathon is your chance to contribute to the future of healthcare innovation.

Subtopics & Challenges

5 pitching challenges + 1 coding challenge

pitching

Aging Populations

As populations age, healthcare systems face rising multi-morbidity, frailty and demand for long-term support. This stream focuses on improving quality of life for older adults in areas around falls, dementia and mobility.

pitching

Ward

Inpatient wards are where most hospital care actually happens, and where small failures can quietly escalate. This stream targets monitoring, communication and coordination to improve outcomes during hospital stays.

pitching

Workforce Load

Healthcare workers are under sustained pressure from increasing demand and limited resources. This stream targets systems that reduce cognitive load and support safe, sustainable care delivery so clinicians can spend more time with patients.

pitching

Emergency Department

Emergency departments operate under constant uncertainty and time pressure. This stream focuses on triage, early decision-making and patient flow to improve safety and responsiveness in acute care settings.

pitching

Rural

Geography remains a major determinant of health outcomes. This stream focuses on delivering timely, high-quality care to rural and remote communities despite distance, workforce shortages and limited infrastructure.

coding

Preventative Medicine

Earlier insight can change outcomes. This stream explores how data, modelling, and clinical indicators can be used to anticipate risk, personalise care, and support better decision-making before deterioration occurs.

Venue

Monash University Clayton Campus

Clayton, Victoria

Saturday 21 – Sunday 22 February 2026

Day 1 (Saturday) is mandatory for registration and orientation. Day 2 (Sunday) is optional but highly recommended—we’ve reserved a space for your team with extra guidance, food, drinks, and activities.

Team Formation

Stone & Chalk

Melbourne CBD

Sunday 15 February 2026, 5:00 PM – 8:00 PM

Pitch Night

Monash College City Campus

Docklands, Victoria

Wednesday 4 March 2026, doors open 5:30 PM

Schedule

Team Formation

Sunday Feb 15

Meet potential teammates and form your team before the hack.

Location: Stone & Chalk, Melbourne CBD

  • 5:00 PMTeam Formation / Ice Breakers / Social Activity
  • 8:00 PMEvent wraps up

How It Works

MedHack: Frontiers has two tracts. We encourage all participants to take on both for the full experience—code a solution and pitch your ideas.

Small Tract (Coding)

Perfect for those who want to dive into hands-on AI development. You'll receive continuous patient vitals data—such as heart rate, blood pressure, and oxygen saturation—from simulated patients. Your task? Build an AI model that can monitor these vitals in real-time and alert healthcare staff when something looks abnormal. Whether you're new to AI or experienced in data science, our workshops and mentors will support you.

Big Tract (Pitching)

Ready to tackle real-world healthcare challenges? You'll get access to real, de-identified Electronic Medical Record (EMR) data and work closely with healthcare mentors. Through interviews and guided discussions, you'll identify critical bottlenecks in the healthcare system and develop an AI-driven solution. Your mission: understand the problem, build a compelling demo, and pitch your idea to expert judges.

Your Path to Success

  1. 1Interview mentors to understand pain points and gather feedback on your idea.
  2. 2Identify & define the problem using a design thinking approach.
  3. 3Ideate & prototype—brainstorm broadly, then pick the most promising concept.
  4. 4Test & iterate by gathering feedback from mentors and potential end-users.
  5. 5Pitch your solution with a compelling story: the problem, who benefits, how it works, and why it’s better.

Judging Criteria

For the Big Tract (Pitching), teams submit a short video pitch which is assessed by our judges. The most promising teams are selected to pitch at Pitch Night on 4th March 2026, where the final winners are selected. For the Small Tract (Coding), the team with the highest score on the leaderboard wins.

Scoring Breakdown

Not all criteria are weighted equally. The table below shows the maximum points for each category.

CategoryMax Score
Innovation/5
Usefulness (User Needs)/10
Viability/10
Technical Feasibility/10
Business Readiness/10
Sustainability/5
Total/50

Scores between semifinal judges are normalised to ensure fairness across judging panels.

Mentor Schedules

Mentor11am–3pm3pm–7:15pm6:45pm–9pm
Eddie Chen✓✓—
Andrew Carey✓——
Makenzie Thomas———
Matthew Jones✓✓—
Wenjing Sun✓✓✓
Tyler Tranquille—✓—
John Forsythe—✓—
Ellie McBain✓✓—
Peter McKenna—✓—
Vera Ignjatovic———
Bora Ith✓✓—
Jaber Jaber✓——
Harjas Gill—✓—
Kailash Kumar Vinu✓✓—
Darren Rajit—✓—
Johnny Pham—✓—
Som Sangu✓——
Vlada Rozova✓✓—
Dinasha Wimalasiri—✓—
Rachel Zhao✓✓—
Yilin Wu✓✓—
Jordan Moshcovitis✓——
Jessica Attenborough———
Brandon Glasser—✓—
Anish Calpakam—✓—

Code of Ethical Conduct

All participants must adhere to the following code of conduct.

  1. 1
    Respect & Inclusivity

    Treat all participants, mentors, judges, and organizers with respect. Harassment, discrimination, or intimidation of any kind will not be tolerated. We celebrate diversity in background, experience, and perspective.

  2. 2
    Patient Data Privacy

    All data provided is either fully simulated or de-identified in compliance with strict privacy regulations. Do not attempt to re-identify patients, link datasets to real individuals, or share data outside the hackathon environment.

  3. 3
    Honest Representation

    Present your work truthfully. Do not fabricate results, plagiarize others’ work, or misrepresent your team’s contributions. Cite any external tools, code libraries, or resources you use.

  4. 4
    Responsible AI Development

    Consider the ethical implications of your solution. Think about bias, fairness, transparency, and the potential for unintended consequences. AI in healthcare carries real responsibility—design with care.

  5. 5
    Collaborative Spirit

    This is a learning event, not a zero-sum competition. Share knowledge, help other teams when you can, and contribute to a positive and supportive atmosphere. Everyone benefits when we lift each other up.

  6. 6
    Safety & Wellbeing

    Take care of yourself and look out for others. Take breaks, stay hydrated, and ask for help if you need it. Report any concerns about safety or conduct to the organizing team immediately.

Policies & Information

Intellectual Property

All intellectual property created during the hackathon remains the property of the team that created it. MLAI and MYMI do not claim any ownership over your solutions, code, or ideas. You are free to continue developing your project after the event.

Confidentiality

Any proprietary information shared by mentors, sponsors, or partner organizations during the hackathon must be treated as confidential. Do not share, publish, or distribute such information without explicit written permission.

Project Continuation

We encourage teams to continue developing their solutions after the hackathon. MLAI and MYMI may offer follow-up support, introductions to investors, or incubator opportunities for promising projects. Winners may be invited to present at future MLAI events.

Media & Photography

By attending the event, you consent to being photographed or recorded for promotional purposes. If you prefer not to be photographed, please inform the organizing team at registration.

Liability

Participants attend the event at their own risk. MLAI and MYMI are not liable for any loss, damage, or injury sustained during the hackathon. Please follow all venue safety guidelines and instructions from event staff.

Contact & Socials

Get in touch with us

Email

hi@mlai.au

Instagram

@mlai_aus

LinkedIn

MLAI on LinkedIn

Website

mlai.au