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Johannes Raffler (1982-)

Name	Johannes Raffler
Time	1982- (Date of birth and death) 2015 (Wirkungsdaten)
Place	Augsburg (Geburtsort) Deutschland
Further information	Dissertation, Fakultät für Biologie, Ludwig-Maximilians-Universität München, 2015
Record type	Person
GND-Identifier	109727215X
Record ID	109727215X
Involved in show all Bridging data silos in oncology with modular software for federated analysis on fast healthcare interoperability resources: multisite implementation study Do explainable AI (XAI) methods improve the acceptance of AI in clinical practice? An evaluation of XAI methods on Gleason grading Large language model processing capabilities of ChatGPT 4.0 to generate molecular tumor board recommendations — a critical evaluation on real world data Use of client-side machine learning models for privacy-preserving healthcare predictions – a deployment case study Assessing the performance of deep learning for automated Gleason grading in prostate cancer Artificial intelligence and digital biomarker in precision pathology guiding immune therapy selection and precision oncology Rare and common genetic determinants of metabolic individuality and their effects on human health A cross-platform approach identifies genetic regulators of human metabolism and health Genetic architecture of host proteins involved in SARS-CoV-2 infection Datenbasierte Funktionsvorhersage krankheitsrelevanter genetischer Varianten Characterization of missing values in untargeted MS-based metabolomics data and evaluation of missing data handling strategies Genomweite Assoziationsstudien mit metabolischen Merkmalen aus Kernspinresonanz (NMR) Spektroskopie

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Johannes Raffler (1982-)

Bridging data silos in oncology with modular software for federated analysis on fast healthcare interoperability resources: multisite implementation study

Do explainable AI (XAI) methods improve the acceptance of AI in clinical practice? An evaluation of XAI methods on Gleason grading

Large language model processing capabilities of ChatGPT 4.0 to generate molecular tumor board recommendations — a critical evaluation on real world data

Use of client-side machine learning models for privacy-preserving healthcare predictions – a deployment case study

Assessing the performance of deep learning for automated Gleason grading in prostate cancer

Artificial intelligence and digital biomarker in precision pathology guiding immune therapy selection and precision oncology

Rare and common genetic determinants of metabolic individuality and their effects on human health

A cross-platform approach identifies genetic regulators of human metabolism and health

Genetic architecture of host proteins involved in SARS-CoV-2 infection

Datenbasierte Funktionsvorhersage krankheitsrelevanter genetischer Varianten

Characterization of missing values in untargeted MS-based metabolomics data and evaluation of missing data handling strategies

Genomweite Assoziationsstudien mit metabolischen Merkmalen aus Kernspinresonanz (NMR) Spektroskopie