Lossius a immune repertoire8/10/2023 ![]() At least, assertive analysis of this field lets discussants go into the depths of the science designed to improve the care of patients. Conditional acceptance of autoimmunity in global health by autoimmunity networking ( is no more justified the more so as autoimmune diseases, in the chapter of non-communicable diseases have become a global health issue attracting worldwide attention. ![]() The reason is in no way obscure: each moment in life, innate and, on its pathway, acquired and synonymous: adaptive, immune functions must decide between self and foreign – practically a creative effort. IntroductionĪutoimmunity is pre-eminently a dialectical form of immunity. The potential drawbacks which AI might bring to the diagnosis of autoimmune diseases, with their overlap into inflammatory conditions, are exposed here in the light of recent progress in lab techniques. AI algorithms serve physicians and the lab test validation community for improved diagnosis. To understand the complexity of autoimmunity, big data processing by artificial intelligence (AI) is on the rise. In einem solchen Fach wie auch in der Krebsbehandlung mit der Immune Checkpoint – Identifizierung entsteht dank der derzeit unaufhörlichen Entwicklung monoklonaler Antikörper für Diagnostik und Therapie eine zusätzliche Ebene mit grossen Datenmengen – ohne Bioinformatik ist die moderne Medizin undenkbar geworden. Die vorliegende Arbeit versucht diese Entscheidungswege für Arzt und Patient am Beispiel der Autoimmun-Krankheiten zu konkretisieren. Hier setzt die künstliche Intelligenz (AI: artificial intelligence) den Griffel an: dem geduldigen Computer werden Anamnese- und Untersuchungs-relevante Daten eingespeist und der Algorhythmus berechnet Wahrscheinlichkeiten mit integrierten Grundannahmen, in welche Richtung die Laboranalysen der klinischen Diagnostik und Therapie hilfreich sein würden. Die generierten Datenmengen bergen jedoch die Gefahr, dass das Bestellmuster von Analysen vom Leidensmuster des Patienten abweichen wird. ![]() Das reichliche Angebot von Laboranalysen ist derzeit so verlockend gross, dass der Auftrag-gebende Arzt der Versuchung oft nicht widerstehen kann, eine exzessive Anzahl Marker-Analysen aus einem Tropfen Blut zu verlangen. Dazu kommt aber heute unabdingbar die Computer-Unterstützung – anfänglich mit der Anhäufung von grossen Datenmengen nicht nur aus dem medizinischen Labor sondern aus Bildgebung, Histopathologie, und Ergebnissen aus Gen- und FACS- Analysen peripherer Blutzellen. inflammasome profiles, lymphocyte markers by fluorescence activated cell sorters as well as single cell secretome analysis.īei aller Technikaffinität für die richtige Diagnose bleiben vom Arzt erhobene Anamnese und klinischen Befunde wichtige Pfeiler zur Einleitung der Behandlung einer Krankheit. The next decade promises a series of new assays, e.g. Behind the profiles provided by big data and artificial intelligence, the therapeutically-induced regained immune balance can thus be traced to the single best lab assay. ![]() As the most appropriate therapeutical agents to monitor in the lab, biological response modifiers, immunosuppressants and monoclonal antibodies are at the forefront and we need to explore their efficacy and side effect profiles not only using phase III clinical studies but also by using postmarketing surveillance. Diagnostics with autoimmune diseases is not an exemption and autoantibody screening using multiplex assays or therapeutic drug monitoring to adjust treatments of inflammatory/autoimmune diseases is bound to become more and more informative even more so as the pharmacodynamics of modern pharmaceutical agents are explored. clinical chemistry, hematology, immunology and microbiology are embraced by genome sequencing techniques and have attained the degree of robotics, facilitating assays to such a degree, that the prescriber is free of concern as to how costly/complicated an investigation might become. Four major specialities of medical laboratory assays, i.e. The physician ordering a lab test, instead of asking for a good composition of screening tests is tempted to order a large number of assays, including genome sequencing hoping to find the diagnostic evidence for his/her patient at once. With big data algorithms and artificial intelligence (AI) at stake the optimal assembly of the most appropriate lab assays selected to diagnose, treat and follow up patients suffering from well-delineated disease may get lost.
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