Photo: UiT
Lars Ailo Bongo
Per Niklas Benzler Waaler,
Musarrat Hussain,
Igor Molchanov,
Lars Ailo Bongo,
Brita Elvevåg
:
Prompt Engineering an Informational Chatbot for Education on Mental Health Using a Multiagent Approach for Enhanced Compliance With Prompt Instructions: Algorithm Development and Validation
JMIR AI 2025 DOI
Mohsen Gamal Saad Askar,
Lars Småbrekke,
Einar Jakobsen Holsbø,
Lars Ailo Aslaksen Bongo,
Kristian Svendsen
:
“Using network analysis modularity to group health code systems and decrease dimensionality in machine learning models”
Per Niklas Benzler Waaler,
Lars Ailo Aslaksen Bongo,
Christina Rolandsen,
Geir Fagerjord Lorem
:
An individually adjusted approach for communicating epidemiological results on health and lifestyle to patients
Masoud Tafavvoghi,
Lars Ailo Aslaksen Bongo,
Nikita Shvetsov,
Lill-Tove Rasmussen Busund,
Kajsa Møllersen
:
Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review
Bjørn-Richard Pedersen,
Maisha Islam,
Doris Tove Kristoffersen,
Lars Ailo Aslaksen Bongo,
Eilidh Garrett,
Alice Reid
et al.:
Coding Historical Causes of Death Data with Large Language Models
Masoud Tafavvoghi,
Anders Sildnes,
Mehrdad Rakaee,
Nikita Shvetsov,
Lars Ailo Aslaksen Bongo,
Lill-Tove Rasmussen Busund
et al.:
Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images
Bjørn-Richard Pedersen,
Rigmor Katrine Johansen,
Einar Jakobsen Holsbø,
Hilde Leikny Sommerseth,
Lars Ailo Aslaksen Bongo
:
More Efficient Manual Review of Automatically Transcribed Tabular Data
Solveig Flatebø,
Ngoc Nha Vi Tran,
Catharina Elisabeth Arfwedson Wang,
Lars Ailo Aslaksen Bongo
:
Social robots in research on social and cognitive development in infants and toddlers: A scoping review
Louise Ludvigsen,
Mads Perner,
Bjørn-Richard Pedersen,
Rafael Nozal Cañadas,
Anders Sildnes,
Nikita Shvetsov
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
Per Niklas Benzler Waaler,
Hasse Melbye,
Henrik Schirmer,
Markus Kreutzer Johnsen,
Tom Dønnem,
Johan Fredrik Ravn
et al.:
Algorithm for predicting valvular heart disease from heart sounds in an unselected cohort
Nikita Shvetsov,
Morten Grønnesby,
Edvard Pedersen,
Kajsa Møllersen,
Lill-Tove Rasmussen Busund,
Ruth Schwienbacher
et al.:
A Pragmatic Machine Learning Approach to Quantify Tumor-Infiltrating Lymphocytes in Whole Slide Images
Dina Benedicte Berg Stensen,
Rafael Nozal Cañadas,
Lars Småbrekke,
Karina Olsen,
Christopher Sivert Nielsen,
Kristian Svendsen
et al.:
Social network analysis of Staphylococcus aureus carriage in a general youth population
Bjørn-Richard Pedersen,
Einar Holsbø,
Trygve Andersen,
Nikita Shvetsov,
Johan Ravn,
Hilde Leikny Sommerseth
et al.:
Lessons Learned Developing and Using a Machine Learning Model to Automatically Transcribe 2.3 Million Handwritten Occupation Codes
Einar Holsbø,
Vittorio Perduca,
Lars Ailo Bongo,
Eiliv Lund,
Etienne Birmelé
:
Predicting breast cancer metastasis from whole-blood transcriptomic measurements
Jo Inge Arnes,
Lars Ailo Bongo
:
The Beauty of Complex Designs
Universitetsforlaget 2020 ARKIV
Bjørn Fjukstad,
Nikita Shvetsov,
Therese Haugdahl Nøst,
Hege Marie Bøvelstad,
Till Halbach,
Einar Holsbø
et al.:
Reproducible Data Management and Analysis using R
Bjørn Fjukstad,
Nina Angelvik,
Morten Grønnesby,
maria wulff Hauglann,
Hedinn Gunhildrud,
Fredrik Høisæther Rasch
et al.:
Teaching Electronics and Programming in Norwegian Schools
Using the air:bit Sensor Kit
Association for Computing Machinery (ACM) 2019 DOI
Cristina Jacome,
Johan Ravn,
Einar Holsbø,
Juan Carlos Aviles Solis,
Hasse Melbye,
Lars Ailo Bongo
:
Convolutional Neural Network for Breathing Phase Detection in Lung Sounds
Mike Voets,
Kajsa Møllersen,
Lars Ailo Bongo
:
Reproduction study using public data of: Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
Aleksander Agafonov,
Kimmo Mattila,
Cuong Duong Tuan,
Lars Tiede,
Inge Alexander Raknes,
Lars Ailo Aslaksen Bongo
:
META-pipe cloud setup and execution
Lars Ailo Bongo,
Inge Alexander Raknes
:
META-pipe Authorization service
F1000 2018 DOI
Kidane M Tekle,
Sveinung Gundersen,
Kjetil Klepper,
Lars Ailo Bongo,
Inge Alexander Raknes,
Xiaxi Li
et al.:
Norwegian e-Infrastructure for Life Sciences (NeLS)
Bjørn Fjukstad,
Nina Angelvik,
maria wulff Hauglann,
Joachim Sveia Knutsen,
Morten Grønnesby,
Hedinn Gunhildrud
et al.:
Low-Cost Programmable Air Quality Sensor Kits in Science Education
Bjørn Fjukstad,
Lars Ailo Bongo
:
A Review of Scalable Bioinformatics Pipelines
Data Science and Engineering 2017 DOI
Inge Alexander Raknes,
Bjørn Fjukstad,
Lars Ailo Aslaksen Bongo
:
nsroot: Minimalist process isolation tool implemented with Linux namespaces
Vanessa Dumeaux,
Bjørn Fjukstad,
Hans Erikssønn Fjøsne,
Jan Ole Frantzen,
Marit Muri Holmen,
Enno Rodegerdts
et al.:
Interactions between the tumor and the blood systemic response of breast cancer patients
PLoS Computational Biology 2017 DOI
Jill Walker Rettberg,
Lars Ailo Aslaksen Bongo
:
Dette mener KI er samisk
21. February 2024 FULLTEKST
Lars Ailo Aslaksen Bongo,
Per Niklas Benzler Waaler,
Ingrid Skjæveland
:
Algorithm for predicting valvular heart disease from heart sounds in an unselected cohort - From research project to patent and beyond
2023
Bjørn-Richard Pedersen,
Maisha Islam,
Lars Ailo Aslaksen Bongo,
Eilidh Garrett,
Alice Reid,
Hilde Leikny Sommerseth
:
Coding historical causes of death data using Large Language Models
2023
Bjørn-Richard Pedersen,
Einar Jakobsen Holsbø,
Rigmor Katrine Johansen,
Hilde Leikny Sommerseth,
Lars Ailo Aslaksen Bongo
:
Manual review and correction of ML transcribed occupational codes from the Norwegian population census of 1950
2023
Bjørn-Richard Pedersen,
Hilde Leikny Sommerseth,
Einar Jakobsen Holsbø,
Rigmor Katrine Johansen,
Trygve Andersen,
Nikita Shvetsov
et al.:
Automatic transcription of handwritten Norwegian occupation codes: The lessons learned
2023
Benjamin Ricaud,
Lars Ailo Aslaksen Bongo
:
Pitch day UiT
2023
Benjamin Ricaud,
Lars Ailo Aslaksen Bongo
:
Innovation evening at IFI
2023
Mehrdad Rakaee,
Masoud Tafavvoghi,
Elio Adib,
Biagio Ricciuti,
Joao Alessi,
Alessio Cortellini
et al.:
Artificial intelligence algorithm developed to predict immune checkpoint inhibitors efficacy in non–small-cell lung cancer
2023
Kajsa Møllersen,
Lars Ailo Bongo,
Masoud Tafavvoghi
:
Cancer detection for white urban Americans
2023 ARKIV
Lars Ailo Aslaksen Bongo,
Ingrid Skjæveland,
Per Niklas Benzler Waaler
:
Algorithm for predicting valvular heart disease from heart sounds in an unselected cohort - From research project to patent and beyond
2022
Bjørn-Richard Pedersen,
Trygve Andersen,
Lars Ailo Bongo,
Hilde Leikny Sommerseth
:
What to do with the stubborn 3 percent?
2022
Lars Ailo Bongo
:
Startups innen AI basert helseteknologi – fra en forskers perspektiv
2022
Lars Ailo Bongo
:
Vurdering av posisjoneringskriterier for screeningmammogrammer med kunstig intelligens (VINN)
2022
Lars Ailo Bongo
:
Health Data Lab
2022
Lars Ailo Bongo
:
Innovasjonsprisen 2021
2022
Lars Ailo Bongo
:
Machine learning on medical images
2022
Lars Ailo Bongo
:
Founding an AI startup as an AI Researcher
2022
Rigmor Katrine Johansen,
Lars Ailo Bongo,
Hilde Laholt,
Geir F Lorem
:
GEN-Ethics: What do Norwegian women think of utilising genetic testing as part of breast cancer screening?
2022
Lars Ailo Aslaksen Bongo
:
Startups innen AI basert helseteknologi – fra en forskers perspektiv
2022
Dina Benedicte Berg Stensen,
Rafael A. Nozal Cañadas,
Lars Småbrekke,
Karina Olsen,
Christopher Sivert Nielsen,
Kristian Svendsen
et al.:
Social network analysis of Staphylococcus aureus carriage in a general youth population
2021
Lars Ailo Bongo,
Bjørn-Richard Pedersen,
Einar Holsbø,
Trygve Andersen,
Tim Alexander Teige,
Nikita Shvetsov
et al.:
Automated approaches for Transcription of 20th Century Norwegian Census Microdata - Lessons Learned
2021
Bjørn Fjukstad,
Nina Angelvik,
Morten Grønnesby,
maria wulff Hauglann,
Hedinn Gunhildrud,
Fredrik Høisæther Rasch
et al.:
Teaching Electronics and Programming in Norwegian Schools Using the Air: Bit Sensor Kit
2019
Bjørn Fjukstad,
Nina Angelvik,
maria wulff Hauglann,
Joachim Sveia Knutsen,
Morten Grønnesby,
Hedinn Gunhildrud
et al.:
Low-Cost Programmable Air Quality Sensor Kits in Science Education
2018
Inge Alexander Raknes,
Bjørn Fjukstad,
Lars Ailo Aslaksen Bongo
:
nsroot: Minimalist process isolation tool implemented with Linux namespaces
2017
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Research interests
Lab homepage: https://uit-hdl.github.io/
Publications: https://uit-hdl.github.io/publications.html
Software: https://uit-hdl.github.io/software.html
