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Background <p>What does it take to realize one-click precision diagnostics across infections? Traditional biomedical methods often are limited to detect a single pathogen at a time, thus neglecting the complex dynamics of the immune response and its degrees of individuality, the host-microbe interactions, and the connection to other disease-states that can significantly affect diagnoses.</p> Main body <p>Here we review methods employed in the clinical microbiology laboratory, sequencing and machine learning technologies, that enable precision diagnostics of infectious diseases. We provide a roadmap of the regulatory pathways and touch upon engineering requirements necessary for developing and bringing to market a medical software for physicians and citizens. We anticipate that high-throughput sequencing technologies, together with artificial intelligence, unlock the use of complex information of the immune response at the single-molecule level thus enable the precise diagnosis of multiple infections, the predictions of clinical outcomes based on individual immune baselines, microbial colonization, and therapeutic history.</p> Conclusions <p>These methods, combined in a medical software, hold the potential to concomitantly diagnose and predict the clinical course of additional immune-related diseases such as cancer and autoimmunity. Thus, uncovering the immunity-interface to several diseases can have a direct impact on population immunity, One Health, and pandemic preparedness.</p>

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Medical software for precision diagnostics of infection with immunoprofiling and artificial intelligence

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月3日

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  • Enkelejda Miho,
  • Susanna Marquez,
  • Ulrik Stervbo,
  • Kirsten D. Mertz,
  • Jan Kruta,
  • Erik Schkommodau,
  • Meysman Pieter

摘要

Background

What does it take to realize one-click precision diagnostics across infections? Traditional biomedical methods often are limited to detect a single pathogen at a time, thus neglecting the complex dynamics of the immune response and its degrees of individuality, the host-microbe interactions, and the connection to other disease-states that can significantly affect diagnoses.

Main body

Here we review methods employed in the clinical microbiology laboratory, sequencing and machine learning technologies, that enable precision diagnostics of infectious diseases. We provide a roadmap of the regulatory pathways and touch upon engineering requirements necessary for developing and bringing to market a medical software for physicians and citizens. We anticipate that high-throughput sequencing technologies, together with artificial intelligence, unlock the use of complex information of the immune response at the single-molecule level thus enable the precise diagnosis of multiple infections, the predictions of clinical outcomes based on individual immune baselines, microbial colonization, and therapeutic history.

Conclusions

These methods, combined in a medical software, hold the potential to concomitantly diagnose and predict the clinical course of additional immune-related diseases such as cancer and autoimmunity. Thus, uncovering the immunity-interface to several diseases can have a direct impact on population immunity, One Health, and pandemic preparedness.