Reducing diagnostic delays for endometriosis in low-resource health systems
Create clinically sound pathways, tools, and training that reduce years-long delays in diagnosis and treatment for endometriosis where specialist care is scarce.
World Solve is a public institutional repository for identifying real unresolved problems across science, society, health, governance, economics, and local systems. Each entry is intended to be citable, inspectable, and actionable.
Create clinically sound pathways, tools, and training that reduce years-long delays in diagnosis and treatment for endometriosis where specialist care is scarce.
Develop accessible monitoring for silica dust exposure and early lung damage among artisanal miners and construction workers who lack occupational health coverage.
Build transparent testing, traceability, and regulatory methods for identifying heavy metals, steroids, pharmaceuticals, and contaminants in traditional medicine supply chains.
Create robust low-resource triage systems that recognize early sepsis using inexpensive sensors, clinical workflows, and locally calibrated machine-learning models.
Develop surveillance and affordable safety protocols for dialysis delivered in fragmented private and informal systems, where contamination and equipment reuse may go undocumented.
Develop tamper-resistant, ultra-low-cost monitoring and backup cooling systems for vaccines, insulin, biologics, and diagnostic reagents where electricity failures are frequent.
Build low-cost metagenomic and biosensor systems that identify emerging resistance genes in sewage networks early enough for hospitals and public-health agencies to alter treatment protocols.
Despite recognition of its importance, reliable methods for integrated wildlife-livestock-human zoonotic spillover surveillance are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.
A persistent gap exists in realizing practical, scalable solutions for distributed methane leak detection and auto-mitigation systems. Scientific understanding, engineering readiness and institutional capacity remain insufficient to translate promising concepts into durable impact under real-world constraints of cost, skills and governance.
Achieving early warning systems for social unrest linked to climate and resource stress at meaningful scale demands simultaneous progress in fundamental research, engineering integration and socio-technical systems that work for low- and middle-income settings. Existing efforts remain fragmented relative to the magnitude of the challenge.
Governments and households in disaster-prone regions of India lack pre-arranged financing mechanisms, forcing reliance on slow post-disaster aid appeals rather than rapid, budgeted recovery funds.
A persistent gap exists in realizing practical, scalable solutions for education and training systems that prepare populations for climate-driven livelihood transitions. Scientific understanding, engineering readiness and institutional capacity remain insufficient to translate promising concepts into durable impact under real-world constraints of cost, skills and governance.
Despite recognition of its importance, reliable methods for behavioral and structural interventions reducing food loss in tropical value chains are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.
Despite recognition of its importance, reliable methods for institutional arrangements that improve coordination between health climate and development sectors are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.
Current approaches to pathways for achieving high levels of circularity in the plastics and packaging sectors either underperform under variable field conditions or generate externalities that undermine long-term sustainability and equity. Closing the gap requires coordinated advances in science, systems design and enabling institutions.
The absence of robust, context-adapted solutions for institutional designs that make long-term infrastructure investment politically durable creates cascading risks across interconnected human and natural systems. Key missing elements include durable performance, low lifetime cost, and governance arrangements capable of sustaining impact beyond pilot stages.
Achieving systems ensuring the safety and reliability of AI systems used in critical infrastructure control at meaningful scale demands simultaneous progress in fundamental research, engineering integration and socio-technical systems that work for low- and middle-income settings. Existing efforts remain fragmented relative to the magnitude of the challenge.
A persistent gap exists in realizing practical, scalable solutions for mechanisms for ensuring that the benefits of the bioeconomy are shared with biodiversity-rich countries. Scientific understanding, engineering readiness and institutional capacity remain insufficient to translate promising concepts into durable impact under real-world constraints of cost, skills and governance.
The absence of robust, context-adapted solutions for nature-based solutions for urban stormwater that also enhance biodiversity and amenity creates cascading risks across interconnected human and natural systems. Key missing elements include durable performance, low lifetime cost, and governance arrangements capable of sustaining impact beyond pilot stages.
Despite recognition of its importance, reliable methods for safe and effective methods for large-scale insect protein production and use are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.