Bilde av Bongo, Lars Ailo
Photo: UiT

Lars Ailo Bongo



  • Nikita, Anders, Masoud, Lill-Tove Rasmussen, Stig Manfred, Kajsa et al.:
    Fast TILs—A pipeline for efficient TILs estimation in non-small cell lung cancer
    Journal of Pathology Informatics 01. avril 2025 DOI
  • Per Niklas Benzler, Musarrat, Igor, Lars Ailo, Brita :
    Prompt Engineering an Informational Chatbot for Education on Mental Health Using a Multiagent Approach for Enhanced Compliance With Prompt Instructions: Algorithm Development and Validation
    Journal of Medical Internet Research AI (JMIR AI) 2025 DOI
  • Bjørn-Richard, Rigmor Katrine, Einar Jakobsen, Hilde Leikny, Lars Ailo Aslaksen :
    More Efficient Manual Review of Automatically Transcribed Tabular Data
    Historical Life Course Studies 2024 DOI / ARKIV
  • Per Niklas Benzler, Lars Ailo Aslaksen, Christina, Geir Fagerjord :
    An individually adjusted approach for communicating epidemiological results on health and lifestyle to patients
    Scientific Reports 2024 DOI / ARKIV
  • Masoud, Anders, Mehrdad, Nikita, Lars Ailo Aslaksen, Lill-Tove Rasmussen et al.:
    Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images
    Journal of Pathology Informatics 2024 DOI / ARKIV
  • Bjørn-Richard, Maisha, Doris Tove, Lars Ailo Aslaksen, Eilidh, Alice et al.:
    Coding Historical Causes of Death Data with Large Language Models
    Lecture Notes in Computer Science (LNCS) 2024 DOI / ARKIV
  • Mohsen Gamal Saad, Lars, Einar Jakobsen, Lars Ailo Aslaksen, Kristian :
    “Using network analysis modularity to group health code systems and decrease dimensionality in machine learning models”
    Exploratory Research in Clinical and Social Pharmacy (ERCSP) 2024 DOI / ARKIV
  • Solveig, Ngoc Nha Vi, Catharina Elisabeth Arfwedson, Lars Ailo Aslaksen :
    Social robots in research on social and cognitive development in infants and toddlers: A scoping review
    PLOS ONE 15. mai 2024 DOI / ARKIV
  • Masoud, Lars Ailo Aslaksen, Nikita, Lill-Tove Rasmussen, Kajsa :
    Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review
    Journal of Pathology Informatics 2024 DOI / ARKIV
  • Per Niklas Benzler, Hasse, Henrik, Markus Kreutzer, Tom, Johan Fredrik et al.:
    Algorithm for predicting valvular heart disease from heart sounds in an unselected cohort
    Frontiers in Cardiovascular Medicine 2023 DOI / ARKIV
  • Louise, Mads, Bjørn-Richard, Rafael Nozal, Anders, Nikita et al.:
    Automated Coding of Historical Danish Cause of death Data Using String Similarity
    Digital Humanities in the Nordic and Baltic Countries Publications (DHNB Publications) 2023 DOI
  • Dina Benedicte Berg, Rafael Nozal, Lars, Karina, Christopher Sivert, Kristian et al.:
    Social network analysis of Staphylococcus aureus carriage in a general youth population
    International Journal of Infectious Diseases 2022 DOI / ARKIV / FULLTEKST
  • Bjørn-Richard, Einar, Trygve, Nikita, Johan, Hilde Leikny et al.:
    Lessons Learned Developing and Using a Machine Learning Model to Automatically Transcribe 2.3 Million Handwritten Occupation Codes
    Historical Life Course Studies 06. janvier 2022 DOI / ARKIV
  • Nikita, Morten, Edvard, Kajsa, Lill-Tove Rasmussen, Ruth et al.:
    A Pragmatic Machine Learning Approach to Quantify Tumor-Infiltrating Lymphocytes in Whole Slide Images
    Cancers 2022 DOI / ARKIV
  • Einar, Vittorio, Lars Ailo, Eiliv, Etienne :
    Predicting breast cancer metastasis from whole-blood transcriptomic measurements
    BMC Research Notes 2020 DOI / ARKIV
  • Jo Inge, Lars Ailo :
    The Beauty of Complex Designs
    2020 DOI / ARKIV
  • Bjørn, Nikita, Therese Haugdahl, Hege Marie, Till, Einar et al.:
    Reproducible Data Management and Analysis using R
    2020 DOI / ARKIV
  • Bjørn, Nina, Morten, maria wulff, Hedinn, Fredrik Høisæther et al.:
    Teaching Electronics and Programming in Norwegian Schools Using the air:bit Sensor Kit
    2019 DOI
  • Cristina, Johan, Einar, Juan Carlos Aviles, Hasse, Lars Ailo :
    Convolutional Neural Network for Breathing Phase Detection in Lung Sounds
    Sensors 2019 DOI / ARKIV
  • Mike, Kajsa, Lars Ailo :
    Reproduction study using public data of: Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
    PLOS ONE 2019 DOI / ARKIV
  • Lars Ailo, Inge Alexander :
    META-pipe Authorization service
    F1000 2018 DOI
  • Bjørn, Nina, maria wulff, Joachim Sveia, Morten, Hedinn et al.:
    Low-Cost Programmable Air Quality Sensor Kits in Science Education
    2018 DOI / ARKIV
  • Kidane M, Sveinung, Kjetil, Lars Ailo, Inge Alexander, Xiaxi et al.:
    Norwegian e-Infrastructure for Life Sciences (NeLS)
    F1000 Research 2018 DOI / ARKIV
  • Aleksander, Kimmo, Cuong Duong, Lars, Inge Alexander, Lars Ailo Aslaksen :
    META-pipe cloud setup and execution
    F1000 Research 18. janvier 2018 DOI / ARKIV
  • Espen Mikal, Hubert, Alex, Robert D, Lars Ailo Aslaksen, Nils Peder :
    ELIXIR pilot action: Marine metagenomics - towards a domain specific set of sustainable services
    F1000 2017 DOI
  • Petra ten, Robert D., Lars Ailo, Erwan, Bruno, Folker et al.:
    The metagenomic data life-cycle: standards and best practices.
    GigaScience 2017 DOI / ARKIV
  • Petter, Karianne Oldernes, Lars Ailo :
    - UiT er langt fremme når det gjelder kunstig intelligens
    uit.no 26. août 2025 DOI
  • Jill Walker, Lars Ailo Aslaksen :
    Dette mener KI er samisk
    21. février 2024 FULLTEKST
  • Lars Ailo Aslaksen, Per Niklas Benzler, Ingrid :
    Algorithm for predicting valvular heart disease from heart sounds in an unselected cohort - From research project to patent and beyond
    2023
  • Bjørn-Richard, Hilde Leikny, Einar Jakobsen, Rigmor Katrine, Trygve, Nikita et al.:
    Automatic transcription of handwritten Norwegian occupation codes: The lessons learned
    2023
  • Bjørn-Richard, Maisha, Lars Ailo Aslaksen, Eilidh, Alice, Hilde Leikny :
    Coding historical causes of death data using Large Language Models
    2023
  • Bjørn-Richard, Einar Jakobsen, Rigmor Katrine, Hilde Leikny, Lars Ailo Aslaksen :
    Manual review and correction of ML transcribed occupational codes from the Norwegian population census of 1950
    2023
  • Kajsa, Lars Ailo, Masoud :
    Cancer detection for white urban Americans
    2023 ARKIV
  • Mehrdad, Masoud, Elio, Biagio, Joao, Alessio et al.:
    Artificial intelligence algorithm developed to predict immune checkpoint inhibitors efficacy in non–small-cell lung cancer
    2023
  • Benjamin, Lars Ailo Aslaksen :
    Pitch day UiT
    2023
  • Benjamin, Lars Ailo Aslaksen :
    Innovation evening at IFI
    2023
  • Lars Ailo :
    Vurdering av posisjoneringskriterier for screeningmammogrammer med kunstig intelligens (VINN)
    2022
  • Lars Ailo :
    Health Data Lab
    2022
  • Lars Ailo :
    Founding an AI startup as an AI Researcher
    2022
  • Lars Ailo :
    Machine learning on medical images
    2022
  • Lars Ailo :
    Innovasjonsprisen 2021
    2022
  • Lars Ailo :
    Startups innen AI basert helseteknologi – fra en forskers perspektiv
    2022
  • Bjørn-Richard, Trygve, Lars Ailo, Hilde Leikny :
    What to do with the stubborn 3 percent?
    2022
  • Lars Ailo Aslaksen, Ingrid, Per Niklas Benzler :
    Algorithm for predicting valvular heart disease from heart sounds in an unselected cohort - From research project to patent and beyond
    2022
  • Lars Ailo Aslaksen :
    Startups innen AI basert helseteknologi – fra en forskers perspektiv
    2022
  • Rigmor Katrine, Lars Ailo, Hilde, Geir F :
    GEN-Ethics: What do Norwegian women think of utilising genetic testing as part of breast cancer screening?
    2022
  • Lars Ailo, Bjørn-Richard, Einar, Trygve, Tim Alexander, Nikita et al.:
    Automated approaches for Transcription of 20th Century Norwegian Census Microdata - Lessons Learned
    2021
  • Dina Benedicte Berg, Rafael A. Nozal, Lars, Karina, Christopher Sivert, Kristian et al.:
    Social network analysis of Staphylococcus aureus carriage in a general youth population
    2021
  • Bjørn, Nina, Morten, maria wulff, Hedinn, Fredrik Høisæther et al.:
    Teaching Electronics and Programming in Norwegian Schools Using the Air: Bit Sensor Kit
    2019
  • Bjørn, Nina, maria wulff, Joachim Sveia, Morten, Hedinn et al.:
    Low-Cost Programmable Air Quality Sensor Kits in Science Education
    2018

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