CalHacks 12.0 Healthcare Innovation

Mify: Medical Insights for You

Solving Clinical Trial Bottlenecks with AI-Powered Solutions

Revolutionizing healthcare research through intelligent ICF generation, real-time vital monitoring, and smart patient recruitment

The Problem: Clinical Trial Bottlenecks

Clinical trials face critical challenges that delay life-saving treatments and increase costs

ICF Generation Bottleneck

Creating FDA-compliant Informed Consent Forms takes weeks, delaying trial starts

Patient Screening Bottleneck

Manual eligibility screening is time-consuming and misses potential participants

Patient Recruitment Crisis

80% of trials fail to recruit enough patients, costing $1.3M per day in delays

Our Solutions

AI-Powered ICF Generator

Generate FDA-compliant consent forms in minutes, not weeks

  • Multi-language support
  • Patient-friendly language
  • Regulatory compliance

Hardware Patient Screening

Arduino sensors detect health changes like Apple Watch for clinical trial eligibility

  • Real-time health warnings
  • Patient eligibility screening
  • Cost-effective monitoring

Smart Patient Recruitment

AI matches patients to trials based on real-time health data

  • Real-time matching
  • Google Fit integration
  • Automated notifications

Live Demo: Real-Time Health Monitoring

See our Arduino sensors in action with AI-powered analysis and patient recruitment recommendations

Hardware Patient Screening System

Our Arduino-based screening device detects health changes similar to Apple Watch, providing early warnings for clinical trial eligibility assessment

Watch our hardware screening system in action

Live Hardware Demonstration

See our Arduino-based patient screening device detecting health changes and providing real-time eligibility assessments for clinical trials. The system monitors vital signs and movement patterns to identify potential health warnings.

Real-time vital monitoring
Health warning detection
Eligibility assessment

Health Warning Detection

Identifies potential health issues that may affect trial eligibility

Eligibility Pre-screening

Automatically assesses if patients meet basic health criteria for trials

Continuous Monitoring

Real-time tracking of vital signs and health parameters

Arduino Hardware Setup

Arduino UNO R4 WiFi

Advanced IoT board with ESP32-S3 and 12x8 LED matrix for health monitoring

HC-SR04 Ultrasonic Sensor

Measures distance and detects movement patterns for health assessment

Wiring Guide

  • VCC → Arduino 5V
  • GND → Arduino GND
  • Trig → Arduino Pin 9
  • Echo → Arduino Pin 10
Disconnected

Heart Rate

-- BPM

Movement

--

Proximity

-- cm

Health Warnings

None

Live Health Analytics

Heart Rate Trend

Movement Activity

CalHacks 12.0 Team

Meet the team building the future of clinical trial efficiency

Alexander Le

Alexander Le

UC Berkeley

Nikita Gounder

Nikita Gounder

UCSF

Santhusha

Santhusha

UC Berkeley

Teshome Haile

Teshome Haile

UCSF