August 6–7, 2026
August 6–7, 2026
hosted at FLAME University, Pune, India
hosted at FLAME University, Pune, India
Artificial Intelligence for Monitoring Malnutrition (AIMM) is developing and validating an AI-powered smartphone application that uses photographs to support accurate, accessible, and scalable child nutrition screening in rural and resource-constrained settings.
Artificial Intelligence for Monitoring Malnutrition (AIMM) is developing and validating an AI-powered smartphone application that uses photographs to support accurate, accessible, and scalable child nutrition screening in rural and resource-constrained settings.
Funded by the Swiss National Science Foundation and Innosuisse BRIDGE Discovery programme, the four-year project has completed development of its initial pipeline and preliminary field testing and is preparing to collect standardized images and reference measurements from approximately 6,000 children across Maharashtra. These data will support model refinement, independent evaluation, subgroup performance assessment, and subsequent household and institutional testing.
Funded by the Swiss National Science Foundation and Innosuisse BRIDGE Discovery programme, the four-year project has completed development of its initial pipeline and preliminary field testing and is preparing to collect standardized images and reference measurements from approximately 6,000 children across Maharashtra. These data will support model refinement, independent evaluation, subgroup performance assessment, and subsequent household and institutional testing.
The 2026 Technical Advisory Group (TAG) online meeting brings together experts in AI, nutrition, public health, humanitarian response, implementation, and institutional uptake to critically review the project’s technical, methodological, ethical, and operational decisions. This website contains all meeting materials including agendas, guiding questions, background documents and access links.
The 2026 Technical Advisory Group (TAG) online meeting brings together experts in AI, nutrition, public health, humanitarian response, implementation, and institutional uptake to critically review the project’s technical, methodological, ethical, and operational decisions. This website contains all meeting materials including agendas, guiding questions, background documents and access links.
Kindly register for the webinar sessions by 31 July 2026 and review the background information in advance.
Kindly register for the webinar sessions by 31 July 2026 and review the background information in advance.
About AIMM
About AIMM
Register
Register
Tell us your questions and suggestions:
Tell us your questions and suggestions:
Webinar Sessions
Webinar Sessions
Webinar Sessions
August 6–7, 2026
August 6–7, 2026
hosted at FLAME University, Pune, India
hosted at FLAME University, Pune, India
Artificial Intelligence for Monitoring Malnutrition (AIMM) is developing and validating an AI-powered smartphone application that uses photographs to support accurate, accessible, and scalable child nutrition screening in rural and resource-constrained settings.
Artificial Intelligence for Monitoring Malnutrition (AIMM) is developing and validating an AI-powered smartphone application that uses photographs to support accurate, accessible, and scalable child nutrition screening in rural and resource-constrained settings.
Funded by the Swiss National Science Foundation and Innosuisse BRIDGE Discovery programme, the four-year project has completed development of its initial pipeline and preliminary field testing and is preparing to collect standardized images and reference measurements from approximately 6,000 children across Maharashtra. These data will support model refinement, independent evaluation, subgroup performance assessment, and subsequent household and institutional testing.
Funded by the Swiss National Science Foundation and Innosuisse BRIDGE Discovery programme, the four-year project has completed development of its initial pipeline and preliminary field testing and is preparing to collect standardized images and reference measurements from approximately 6,000 children across Maharashtra. These data will support model refinement, independent evaluation, subgroup performance assessment, and subsequent household and institutional testing.
The 2026 Technical Advisory Group (TAG) online meeting brings together experts in AI, nutrition, public health, humanitarian response, implementation, and institutional uptake to critically review the project’s technical, methodological, ethical, and operational decisions. This website contains all meeting materials including agendas, guiding questions, background documents and access links.
The 2026 Technical Advisory Group (TAG) online meeting brings together experts in AI, nutrition, public health, humanitarian response, implementation, and institutional uptake to critically review the project’s technical, methodological, ethical, and operational decisions. This website contains all meeting materials including agendas, guiding questions, background documents and access links.
Kindly register for the webinar sessions by 31 July 2026 and review the background information in advance.
Kindly register for the webinar sessions by 31 July 2026 and review the background information in advance.
About AIMM
About AIMM
Register
Register
Tell us your questions and suggestions:
Tell us your questions and suggestions:
Webinar Sessions
Webinar Sessions
Webinar Sessions
August 6–7, 2026
August 6–7, 2026
hosted at FLAME University, Pune, India
hosted at FLAME University, Pune, India
Artificial Intelligence for Monitoring Malnutrition (AIMM) is developing and validating an AI-powered smartphone application that uses photographs to support accurate, accessible, and scalable child nutrition screening in rural and resource-constrained settings.
Artificial Intelligence for Monitoring Malnutrition (AIMM) is developing and validating an AI-powered smartphone application that uses photographs to support accurate, accessible, and scalable child nutrition screening in rural and resource-constrained settings.
Funded by the Swiss National Science Foundation and Innosuisse BRIDGE Discovery programme, the four-year project has completed development of its initial pipeline and preliminary field testing and is preparing to collect standardized images and reference measurements from approximately 6,000 children across Maharashtra. These data will support model refinement, independent evaluation, subgroup performance assessment, and subsequent household and institutional testing.
Funded by the Swiss National Science Foundation and Innosuisse BRIDGE Discovery programme, the four-year project has completed development of its initial pipeline and preliminary field testing and is preparing to collect standardized images and reference measurements from approximately 6,000 children across Maharashtra. These data will support model refinement, independent evaluation, subgroup performance assessment, and subsequent household and institutional testing.
The 2026 Technical Advisory Group (TAG) online meeting brings together experts in AI, nutrition, public health, humanitarian response, implementation, and institutional uptake to critically review the project’s technical, methodological, ethical, and operational decisions. This website contains all meeting materials including agendas, guiding questions, background documents and access links.
The 2026 Technical Advisory Group (TAG) online meeting brings together experts in AI, nutrition, public health, humanitarian response, implementation, and institutional uptake to critically review the project’s technical, methodological, ethical, and operational decisions. This website contains all meeting materials including agendas, guiding questions, background documents and access links.
Kindly register for the webinar sessions by 31 July 2026 and review the background information in advance.
Kindly register for the webinar sessions by 31 July 2026 and review the background information in advance.
About AIMM
About AIMM
Register
Register
Tell us your questions and suggestions:
Tell us your questions and suggestions: