What We Build

Projects

Our members don't just learn about health tech — they build it. Here's what MedTech for All coordinators have created at hackathons and beyond.

MIT Grand Hack 2026Trauma & Rehabilitation

SurgiWatch

Detect infection early. Prevent postoperative complications worldwide.

The Problem

313 million surgeries happen each year worldwide, and postoperative complications are the 3rd leading cause of death — with infection as the #1 driver. Once patients are discharged, there’s no monitoring, no warning, and no chance to intervene. Preventable complications cost 4.2 million lives and $41.3 billion in hospital readmissions annually.

The Solution

SurgiWatch is a multimodal at-home postoperative monitoring system combining a low-cost wearable device for continuous vitals, smartphone-based surgical wound imaging, and AI-powered data synthesis. The patient app provides a simple “wear it and leave it” experience, while the physician dashboard delivers smart alerts that reduce alert fatigue — flagging only when action is needed.

SurgiWatch title slide — Detect infection early, prevent postoperative complications worldwide

3–5 days

Earlier infection detection

~45%

Fewer preventable readmissions

$150M

Potential annual savings

Team

Keer Zhang · MD Candidate, UCLA Biodesign Fellow
Taha Taidi Laamiri · 4th year Robotic Engineering
Chandni Shahdev · PhD Candidate, Infectious Disease
Ye Yint Phone Pyae · 4th year Molecular & Cellular Biology
Lama Alahdal · 3rd year MechE and Computer Science
Jana Huisman · HFSP Postdoctoral Fellow, Comp. Bio

MedTech for All coordinator: Keer Zhang

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MIT Grand Hack 2026Portable Health

PocketSage

An offline AI health companion designed for low-connectivity regions.

The Problem

Digital health fails in low-connectivity environments — rural areas, refugee camps, disaster zones, and traveling communities have no reliable internet. Billions of people lack access to basic medical guidance when they need it most. A mother in Chad with a feverish child and no cell signal has no way to know if it’s a cold or early malaria.

The Solution

PocketSage is an offline-based, lightweight, knowledge-distillation edge AI that runs entirely on a phone without internet. It guides users through symptom assessment questions and delivers evidence-based triage recommendations with urgency levels — all in their local language. When connectivity returns, it syncs anonymized data to support epidemiological surveillance.

PocketSage title slide — An offline AI health companion designed for low-connectivity regions

100%

Offline functionality

2 min

Symptom assessment time

~$47.5M

Total addressable market (B2B)

Team

Chris Swift · Product Lead, HealthTech Founder
Adithya Prakash · AI Engineering, CS Developer
Kulaghan Kumaradevan · Commercialization, MedTech Consultant
Sophia Cha · Clinical Validation, MD/PhD Candidate

MedTech for All coordinator: Sophia Cha

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MIT Grand Hack 2026Virtual Diagnostic Interfaces

chronochart

AI-native medication timeline for psychiatry.

The Problem

Psychiatric medication history is buried in EMRs. 50% of psychiatric patients are non-adherent to their medications, over 50% switch medications every year, and 80%+ of clinical data is unstructured free text. Existing AI tools focus on post-encounter documentation — the clinician still enters each visit blind, with no medication context or history synthesis.

The Solution

chronochart flips the AI workflow: instead of documenting after the visit, it ingests the full patient chart — including unstructured notes — before the encounter. It builds an interactive medication timeline showing dose intensity, adverse effects, drug interactions, adherence gaps, and clinical notes over time. A patient similarity graph helps clinicians find precedent from analogous cases, enabling faster decisions and safer prescribing.

chronochart title slide — AI-native medication timeline for psychiatry

$600M

Total addressable market

80%+

Clinical data is unstructured

50%

Psych patients non-adherent

Team

Wilson Yeh · 3rd Year Medical Student
Sunmin Kim · Molecular & Cellular Biology
Ilya Shlyakhter · Bioinformatician
Bharath Vishal Ganesamoorthy · ML Engineer, BME Graduate Student
Preetal Deshpande · Bioanalytics
Ikishu Maharjan · Computer Science Graduate Student

MedTech for All coordinator: Wilson Yeh

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