Challenges

The current procedure:
Women experiencing symptoms such as bloating, abdominal pain, appetite changes, or urinary issues typically report them during routine visits with their family physician, where symptoms are evaluated based on clinical judgment and available medical history.
The Problem: 
Early symptoms of ovarian cancer are often vague and nonspecific, causing many women to delay reporting them or struggle to describe them clearly. At the same time, primary care physicians work under time constraints and may attribute these common symptoms to less serious conditions, leading to missed or delayed opportunities for further investigation.
The Goal:
 To create an accessible and supportive solution that helps women recognize, track, and communicate relevant symptoms over time while enabling physicians to identify suspicious patterns earlier and make more informed clinical decisions.

The Current Procedure

During emergencies, hospitals may relocate clinical activity to protected underground spaces to keep patients and medical teams safe while continuing essential care.

The Problem

Underground medical spaces are not designed to function like regular hospital wards. Overcrowding, communication gaps, navigation difficulties, staff fatigue, and operational delays can reduce efficiency and increase clinical risks for both patients and healthcare teams.

The Goal

Develop innovative solutions that improve safety, communication, patient flow, and operational efficiency in underground healthcare environments, while supporting medical teams and ensuring continuity of care during emergencies.

The Current Procedure:
Medical students develop clinical skills through bedside teaching, simulation sessions, patient interactions, and direct guidance from clinician-educators in hospitals and training environments.

The Problem:
As medical school enrollment grows, clinical training resources such as instructors, patient access, teaching time, and simulation facilities are becoming increasingly limited. This creates unequal learning opportunities, reduced hands-on practice, and less personalized feedback for students.

The Goal:
To create innovative and scalable solutions that enable medical students to practice clinical reasoning, receive meaningful feedback, track progress, and build clinical competence — even in resource-limited educational environments.

The Current Procedure

Patients with Age-Related Macular Degeneration (AMD) are required to attend regular eye examinations every few months in order to detect worsening vision and begin treatment on time.

The Problem

Many patients miss or delay follow-up appointments due to accessibility issues, lack of awareness, long waiting times, or difficulty reaching medical services. These delays can lead to irreversible vision loss.

The Goal

Develop a digital and scalable solution that improves patient follow-up, increases adherence to eye examinations, enables earlier detection of deterioration, and strengthens communication between patients and healthcare providers.

The current procedure:

Children arriving at the pediatric emergency department undergo triage and clinical evaluation, during which medical teams are also expected to identify possible signs of neglect or abuse based on clinical judgment, medical history, and existing guidelines.

The Problem:
Pediatric emergency departments are fast-paced and overloaded environments, making it difficult to consistently identify subtle warning signs of children at risk. Detection often depends on subjective judgment, fragmented information, and time-consuming manual assessments, which can lead to missed opportunities for early intervention.

The Goal:
To develop a smart, sensitive, and non-intrusive system that helps pediatric emergency teams identify children who may be at risk of neglect or harm through an objective “silent red flag” that supports earlier and safer multidisciplinary intervention.

The Current Procedure:
Drug allergies and sensitivities are documented in the patient’s medical record based on self-reporting or previous documentation, often without standardized verification or detailed clinical context.
The Problem:
Many allergy labels are outdated, incomplete, or inaccurate, leading healthcare providers to avoid optimal medications and rely on less effective or more costly alternatives.
The Goal:
To create a smarter, evidence-based way to collect, verify, and manage drug allergy information in order to improve patient safety and support better clinical decision-making.