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Journal of Translational Medicine
|
April 29, 2021
Comment on "Computer algorithm can match physicians' decisions about blood transfusions"
Sander De Bruyne
Clinical Chemistry and Laboratory Medicine
|
February 18, 2026
Machine learning in precision oncology: a rough diamond waiting to shine?
Sander De Bruyne, Brigitte Maes
Ejhaem
|
July 18, 2022
Rapid onset of anaemia in a patient with alcoholic cirrhosis: The clue might be in the smear
Sander De Bruyne, Simon Degandt, Timothy Ghys
Clinical Chemistry and Laboratory Medicine
|
June 23, 2026
From microscope to artificial intelligence: potential and perils in bone marrow evaluation
Sander De Bruyne, Veerle Peeters, Mattias Hofmans
Clinical Chemistry and Laboratory Medicine
|
May 18, 2023
The underestimated potential of vibrational spectroscopy in clinical laboratory medicine: a translational gap to close
Sander De Bruyne, Charlotte Delrue, Marijn Speeckaert
Diagnostics (Basel, Switzerland)
|
February 13, 2025
The Promise of Infrared Spectroscopy in Liquid Biopsies for Solid Cancer Detection
Charlotte Delrue, Sander De Bruyne, Marijn M Speeckaert
International Journal of Molecular Sciences
|
April 13, 2023
The Potential Use of Near- and Mid-Infrared Spectroscopy in Kidney Diseases
Charlotte Delrue, Sander De Bruyne, Marijn M Speeckaert
Clinical Chemistry
|
September 14, 2023
Applications of Artificial Intelligence in Urinalysis: Is the Future Already Here?
Sander De Bruyne, Pieter De Kesel, Matthijs Oyaert
Critical Reviews in Clinical Laboratory Sciences
|
September 1, 2025
Deep learning algorithms and Raman spectroscopy in the clinical laboratory setting
Charlotte Delrue, Marijn M Speeckaert, Sander De Bruyne
Biomedicines
|
March 28, 2024
Application of Machine Learning in Chronic Kidney Disease: Current Status and Future Prospects
Charlotte Delrue, Sander De Bruyne, Marijn M Speeckaert
Page
of 6
Search research articles
Search
Showing results (1-10 of 51) with videos related to
Sort By:
Page
of 6
Journal of Translational Medicine
|
April 29, 2021
Comment on "Computer algorithm can match physicians' decisions about blood transfusions"
Sander De Bruyne
Clinical Chemistry and Laboratory Medicine
|
February 18, 2026
Machine learning in precision oncology: a rough diamond waiting to shine?
Sander De Bruyne, Brigitte Maes
Ejhaem
|
July 18, 2022
Rapid onset of anaemia in a patient with alcoholic cirrhosis: The clue might be in the smear
Sander De Bruyne, Simon Degandt, Timothy Ghys
Clinical Chemistry and Laboratory Medicine
|
June 23, 2026
From microscope to artificial intelligence: potential and perils in bone marrow evaluation
Sander De Bruyne, Veerle Peeters, Mattias Hofmans
Clinical Chemistry and Laboratory Medicine
|
May 18, 2023
The underestimated potential of vibrational spectroscopy in clinical laboratory medicine: a translational gap to close
Sander De Bruyne, Charlotte Delrue, Marijn Speeckaert
Diagnostics (Basel, Switzerland)
|
February 13, 2025
The Promise of Infrared Spectroscopy in Liquid Biopsies for Solid Cancer Detection
Charlotte Delrue, Sander De Bruyne, Marijn M Speeckaert
International Journal of Molecular Sciences
|
April 13, 2023
The Potential Use of Near- and Mid-Infrared Spectroscopy in Kidney Diseases
Charlotte Delrue, Sander De Bruyne, Marijn M Speeckaert
Clinical Chemistry
|
September 14, 2023
Applications of Artificial Intelligence in Urinalysis: Is the Future Already Here?
Sander De Bruyne, Pieter De Kesel, Matthijs Oyaert
Critical Reviews in Clinical Laboratory Sciences
|
September 1, 2025
Deep learning algorithms and Raman spectroscopy in the clinical laboratory setting
Charlotte Delrue, Marijn M Speeckaert, Sander De Bruyne
Biomedicines
|
March 28, 2024
Application of Machine Learning in Chronic Kidney Disease: Current Status and Future Prospects
Charlotte Delrue, Sander De Bruyne, Marijn M Speeckaert
Page
of 6