Medical software for precision diagnostics of infection with immunoprofiling and artificial intelligence
Loading...
Author (Corporation)
Publication date
2026
Type of student thesis
Course of study
Type
01A - Journal article
Editors
Editor (Corporation)
Supervisor
Parent work
Journal of Translational Medicine
Special issue
DOI of the original publication
Link
Related research data
Series
Series number
Volume
Issue / Number
Pages / Duration
Patent number
Publisher / Publishing institution
BioMed Central
Place of publication / Event location
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
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. 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. 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.
Keywords
Subject (DDC)
Event
Exhibition start date
Exhibition end date
Conference start date
Conference end date
Date of the last check
ISBN
ISSN
1479-5876
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Closed
License
Citation
Miho, E., Marquez, S., Stervbo, U., Mertz, K. D., Kruta, J., Schkommodau, E., & Pieter, M. (2026). Medical software for precision diagnostics of infection with immunoprofiling and artificial intelligence. Journal of Translational Medicine. https://doi.org/10.1186/s12967-026-07693-2