MIT Hacking MedicineMIT Hacking Medicine MalaysiaDiabetes X
KUALA LUMPUR20–23 NOVEMBER 2026M WORLD HOTELHACKATHON APPLICATIONS CLOSE 9 NOVEMBER
Partnership

Bring the problem your clinicians actually have.

Hospitals write the challenge briefs. 20–23 November 2026 at the M World Hotel, Kuala Lumpur.

A partnership here is not a cheque

Hospitals write the challenge briefs, universities bring their students, ministries and associations bring standing, and patient organisations bring the people it is actually about. What you give is a problem, your clinicians or your students, and your name on the programme. There is no invoice.

What we ask for

Hospitals and clinical groups

A clinical problem worth four days of a mixed team’s attention, and two or three clinicians to mentor or judge across the weekend.

Universities

Students, in blocks of ten, twenty-five or fifty, and a member of faculty who knows them.

See the student blocks →

Ministries and agencies

A voice on the programme where your standing carries the subject, and the policy questions worth putting in front of a hundred builders.

Patient organisations

The people the four days are about, so the teams build for somebody real rather than for an idea of somebody.

What you get back

Your problem goes to the teams

A mixed team of clinicians, engineers, data scientists and designers builds against it for three days.

Introductions to the teams

First conversations with the teams whose work you want to take further.

Named on the programme

Alongside MIT Hacking Medicine, on the materials and on the day.

Your people in the room

With the ministry, the hospitals, industry and the investors, across the summit.

The post-event report

Who came, what was built, and what happens next.

A path after November

Follow-up sessions with the winning teams from December onwards.

One challenge, three themes

Your brief sits under one of these, or adds a theme of its own.

Precision glucose management

Glucose prediction, insulin optimisation, continuous monitoring, personalised treatment pathways.

Predictive intelligence

Early detection, diabetic retinopathy screening, kidney disease prediction, clinical decision support.

Digital therapeutics

Health coaching, behaviour change, medication adherence, population health analytics.

How it starts

Thirty minutes on the problem you would put in front of the teams, and who from your side would sit with them.

Talk to the team →