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.

How might we streamline the end-to-end journey for patients seeking cannabis-based treatment, from initial eligibility assessment and prescription approval to product access, guidance, and safe ongoing use? Today, this process is often fragmented, slow, and difficult to navigate for patients, caregivers, physicians, pharmacies, and regulators alike. Barriers may include unclear criteria, administrative burden, inconsistent clinical workflows, limited patient education, supply and fulfillment challenges, and insufficient follow-up once treatment begins. This challenge seeks solutions that improve accessibility, transparency, coordination, and patient experience across the full care pathway. Relevant target users include patients with qualifying conditions, prescribing clinicians, specialist clinics, pharmacies, dispensaries, care coordinators, and health system administrators. We are especially interested in approaches that reduce delays, simplify decision-making, support compliance and safety, and ensure patients receive the right product, at the right time, with the right instructions and monitoring. Addressing this challenge is important because timely, safe, and equitable access to treatment can significantly affect quality of life, clinical outcomes, and trust in the healthcare system.

Many patients leave a medical appointment without fully understanding or remembering the key points discussed with their physician. Diagnoses, medication changes, follow-up instructions, test results, and lifestyle recommendations are often communicated quickly, under stress, or in complex medical language, making it difficult for patients and caregivers to retain and act on the information later. This challenge seeks solutions for generating an automatic post-visit summary that captures the core medical discussion and translates it into clear, patient-friendly language, with explanations tailored to the individual’s condition, treatment plan, and next steps. The target audience includes patients managing chronic or acute conditions, older adults, caregivers, and individuals with limited health literacy or language barriers. The solution should fit naturally into clinical workflows, support accuracy and privacy, and help improve adherence, shared decision-making, and continuity of care. Solving this problem is important because better understanding after a visit can reduce confusion, prevent avoidable errors, strengthen trust, and ultimately lead to better health outcomes.

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.

An iOS Accessibility Development SDK for native Swift applications, designed to help teams build truly inclusive mobile experiences from the start rather than treating accessibility as a late-stage compliance task. Many iOS products still present barriers for users who rely on VoiceOver, Dynamic Type, Switch Control, captions, reduced motion, high contrast, and other assistive technologies. This solution addresses that gap by providing developers with reusable components, implementation patterns, testing support, and best-practice guidance tailored for modern Swift-based app development. The target audience includes iOS engineers, product teams, accessibility specialists, QA teams, and organizations that want to improve usability for people with visual, auditory, motor, or cognitive disabilities while also strengthening overall product quality. The SDK is intended for teams building consumer, enterprise, healthcare, education, finance, and public-sector applications where accessibility is both a user need and a business priority. By making accessible development faster, more consistent, and easier to adopt at scale, this solution helps organizations reduce risk, expand reach, and create better digital experiences for everyone.