Unveiling complexity of hydrogen integration: A multi-faceted exploration of challenges in the Dutch context

Design Thinking Tools to Catalyse Sustainable Circular Innovation

An automated slide scanning system for membrane filter imaging in diagnosis of urogenital schistosomiasis

Validation of artificial intelligence-based digital microscopy for automated detection of Schistosoma haematobium eggs in urine in Gabon

Towards Greener ICUs: Redesigning the Use of Disposable Gloves

Reducing the Environmental Impact of Syringes at the Intensive Care Unit

Towards Circular ICUs: Circular Intubations as a Catalyser for Systemic Change

Nudging intensive care unit personnel towards sustainable behaviour

Towards Inclusive Diagnostics for Neglected Tropical Diseases:: User Experience of a New Digital Diagnostic Device in Low-Income Settings

Social Network Analysis of the Schistosomiasis control program in two local government areas in Oyo state, Nigeria: Insights for NTD elimination plans

WOCA A battery powered wound pump designed for use in low-resource settings

The extent to which circular economy principles have been applied in the design of medical devices for low-resource settings in Sub-Saharan Africa.: A systematic review

Performance evaluation of the AiDx multi-diagnostic automated microscope for the detection of schistosomiasis in Abuja, Nigeria

Developing inclusive digital health diagnostic for schistosomiasis: a need for guidance via target product profiles

Emerging decentralized infrastructure networks

The Green Intensive Care: From Environmental Hotspot to Action

Community health surveillance via digital collection of syndromic and behavior data by community healthcare workers in rural Kenya: a pilot study

Image-Based Awareness Campaign and Community Mobilization in the Control of Schistosomiasis

Sustainable business models for smallholder farmers:: Challenges for and lessons from the Barsha pump experience

Two-stage automated diagnosis framework for urogenital schistosomiasis in microscopy images from low-resource settings