Enaiblers - News , Research

Peruvian Partnership Pioneers AI Microscopy for a Healthier Tomorrow

Thu, 11 Apr 2024 08:35:36 +0000

Beyond the Lens: Ayacucho's Journey into AI-powered Diagnostics

In an exciting leap towards advancing healthcare in Ayacucho, Enaiblers, in collaboration with INMED, DIRESA, and UNSCH, is proud to introduce our cutting-edge solution to combat parasites – AI-powered microscopy. This collaboration not only marks a significant stride in making health diagnostics accessible but also highlights our commitment to global health equity.

Transforming Diagnostics with AI

Now installed at the Regional Reference Public Health Laboratory, we will explore the limits and expand the capabilities of the AI microscopes to address new sample types. We take a OneHealth approach, exploring the intricate connection between animal and human health, underscoring the need to address both in unison for comprehensive disease prevention and control. It’s not just about technology; it’s about bringing hope and healing to communities long overshadowed by health disparities.

Collaborative Empowerment

This initiative, part of a broader agreement, goes beyond technology implementation. It's about building capabilities, inspiring innovation, and fostering a culture of research and excellence in diagnostics. At its heart, it's about making ground-breaking health diagnostics accessible to all, ensuring nobody is left behind.

Be Part of the Change

This step in Ayacucho is just the beginning. Follow our journey as we continue to push the boundaries of what’s possible in healthcare. Your support fuels our mission towards a world where health equity is not just a vision but a reality.

Stay connected. Together, we're making history.

Get Started Now

AI-Digital Pathology in the context of the the WHO Target Product Profiles

Thu, 22 Dec 2022 22:24:00 +0000

The development of an artificial intelligence-based digital pathology for neglected tropical diseases: A platform specific analysis of the World Health Organization diagnostic target product profile for soil-transmitted helminthiasis

In a recent publication, we conducted a systematic analysis of the World Health Organization's target product profile (TPP) for soil-transmitted helminthiasis (STH) to inform the development of a user requirement specification (URS) for an AI-DP solution.

The WHO's TPPs outline the minimal and ideal requirements for diagnostic tools in NTD control programs. However, a critical review of these TPPs specific to AI-DP solutions was lacking. Our analysis focused on the monitoring and evaluation (M&E) of STH control programs and highlighted the technical considerations necessary to meet the minimal requirements for the TPP.

AI-DP offers significant advantages over current microscopic diagnostic standards, such as improved reproducibility, reduced errors, increased throughput, and automated data capture, analysis, and reporting. By leveraging electronic data capture tools, whole slide imaging (WSI) scanners, AI models, and data reporting systems, AI-DP can transform NTD programs.

Key Takeaways:

The WHO's TPPs for NTDs play a crucial role in guiding diagnostic tool development.
We conducted a systematic analysis of the TPP for STH to inform the development of an AI-DP solution.
AI-DP can overcome the limitations of current microscopic standards and offer enhanced efficiency and accuracy.
The AI-DP workflow involves electronic data capture, WSI scanning, AI analysis, and assisted data interpretation.
Our analysis focused on the M&E of STH control programs, aiming to meet the WHO's 2030 targets.

We believe that our AI-DP platform has the potential to revolutionize diagnostics for NTDs and contribute to achieving the WHO's 2030 targets. By embracing innovative technologies, we are taking a crucial step towards improving healthcare outcomes and eradicating neglected tropical diseases. Stay tuned for updates on our ground breaking AI-DP solution.

Full text: https://doi.org/10.3389/fitd.2022.990304

PLoS Neglected - AI-DP Proof of Concept

Thu, 29 Sep 2022 21:02:00 +0000

Affordable artificial intelligence-based digital pathology for neglected tropical diseases: A proof-of-concept for the detection of soil-transmitted helminths and Schistosoma mansoni eggs in Kato-Katz stool thick smears

We are thrilled to announce the publication of our research in PLoS Neglected Tropical Diseases. Our study showcases the development of an early prototype, affordable artificial intelligence-based digital pathology device for the detection of soil-transmitted helminths and Schistosoma mansoni eggs in stool samples. This research represents a significant step towards improving diagnostics for neglected tropical diseases and advancing the global fight against these debilitating conditions.

Key Takeaways from the Article:

The World Health Organization (WHO) has set ambitious targets for neglected tropical diseases (NTDs), emphasizing the need for improved diagnostics to achieve these goals.
Current diagnostic methods for NTDs, such as microscopic examination, have limitations in terms of sensitivity, reproducibility, and manual read-out errors.
The WHO's Diagnostics and Technical Advisory Group (DTAG) is working on target product profiles (TPPs) to guide the development of new diagnostics, but the translation of biomarkers into affordable tests is challenging.
Artificial intelligence-based digital pathology (AI-DP) is a promising alternative for NTD diagnostics, offering improved reproducibility, automation, and cost reduction.
The study presents a proof-of-concept for an affordable AI-DP prototype for detecting soil-transmitted helminths (STH) and intestinal Schistosoma (SCH) eggs in stool samples.
An early prototype of a whole slide imaging (WSI) scanner was engineered for capturing digital images of STH and SCH eggs in Kato-Katz (KK) stool thick smears.
A database of over 1.3 million images was created, with annotations for eggs of different helminth species.
Using a deep learning approach, the AI model achieved high precision and recall for detecting and classifying STH and SCH eggs.
The prototype WSI scanner demonstrated the technical feasibility of scanning KK stool thick smears in field settings.
The development of affordable and fieldable AI-DP scanners shows promise in supporting the WHO's roadmap for NTDs and improving diagnostics for STH and SCH infections.

Further research and development are necessary to adapt the prototype for field settings, conduct end-to-end testing in the field, and evaluate performance across different infection intensities.