xFUSION

Many individuals with diabetes struggle to adhere to their treatment regimens consistently, posing a significant health challenge. This issue affects a diverse range of patients globally, who face increased risks due to irregular management of their condition. By addressing this problem, FOH Future Of Health seeks to enhance patient outcomes and reduce the burden on healthcare systems. The collective expertise of health leaders at FOH aims to develop innovative solutions to improve adherence, ultimately contributing to the sustainability and efficiency of healthcare delivery worldwide.

Medication administration errors during hospitalization remain a critical patient safety challenge. Nurses work in fast-paced, high-pressure environments where interruptions, shift changes, incomplete documentation, and complex treatment plans can increase the risk of giving the wrong medication, incorrect dose, or treatment at the wrong time. This challenge seeks solutions that help ensure every inpatient receives the right treatment, at the right time, through the right route, while creating a clear and reliable record of what was administered, by whom, and when. The target audience includes hospitals, nursing teams, clinical operations leaders, digital health innovators, and patient safety experts. The ideal solution should support real-time verification, improve traceability and accountability, and integrate smoothly into existing clinical workflows without adding unnecessary burden to staff. This is especially important in busy inpatient settings where timely care must be balanced with accuracy and compliance. Solving this problem can reduce preventable harm, strengthen trust in care delivery, improve operational transparency, and provide better data for quality improvement and oversight.

The demand for mental health services has risen sharply, particularly in the aftermath of war, displacement, trauma, and prolonged uncertainty. At the same time, healthcare systems are facing a severe shortage of psychologists, psychiatrists, and other qualified mental health professionals, creating long waiting times, limited access to care, and growing unmet need across communities. This challenge seeks scalable, practical, and equitable solutions that can expand access to mental health support despite workforce constraints. We are looking for approaches that address the needs of diverse populations, including children, adolescents, adults, families, frontline workers, and vulnerable groups affected by acute and ongoing stress. Potential solutions may include new care models, digital tools, triage systems, community-based interventions, task shifting, prevention strategies, or methods for improving efficiency and continuity of care without compromising quality, safety, or trust. This challenge is important because untreated mental health needs can have lasting effects on individuals, families, workplaces, and society. Future Of Health invites solvers to rethink how mental healthcare can be delivered at scale in times of crisis and recovery.

Biometric verification technology that is based on actively mapping the oral cavity by transmitting an audio signal and recording its reflections. It can be integrated into existing products like electronic cigarettes, breath inhalers etc. Or used a stand alone. Its proven accuracy in a controlled test over more than a 100 subjects was 90% increasing to 95 if using 5 consecutive inhales.

A gamified customer service training solution that solves a persistent weakness in traditional onboarding and upskilling: learning is often passive, generic, and quickly forgotten once employees begin handling real customer issues.

An institutional AI-powered platform for reviewing, grading, and evaluating student assignments, exams, and written submissions at scale. The solution is designed for universities, colleges, schools, and professional training organizations seeking to reduce the growing administrative burden on lecturers, examiners, and academic staff while improving consistency, speed, and transparency in assessment processes. By automating repetitive evaluation tasks and supporting rubric-based marking, feedback generation, plagiarism indicators, and quality assurance workflows, the platform helps educators focus more on teaching, mentoring, and academic judgment rather than manual checking. It is particularly valuable in environments with large cohorts, limited faculty capacity, and increasing expectations for timely, fair, and data-informed assessment. The importance of this challenge lies in balancing operational efficiency with academic integrity, pedagogical quality, and institutional trust, making AI-enabled assessment a critical capability for the future of education.