| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Artificial intelligence-assisted drug repurposing via “chemical-induced gene expression ranking”
|
Masuda, Takaaki
|
|
|
3 |
4 |
p.
|
artikel
|
| 2 |
Chemical-induced gene expression ranking and its application to pancreatic cancer drug repurposing
|
Pham, Thai-Hoang
|
|
|
3 |
4 |
p.
|
artikel
|
| 3 |
Data science, human intelligence, and therapeutics discovery: An interview with Sean Escola, Saul Kato, and Pavan Ramkumar
|
Ramkumar, Pavan
|
|
|
3 |
4 |
p.
|
artikel
|
| 4 |
Digital data donations: A quest for best practices
|
Ohme, Jakob
|
|
|
3 |
4 |
p.
|
artikel
|
| 5 |
Digital twins and the ethics of health decision-making concerning children
|
Braun, Matthias
|
|
|
3 |
4 |
p.
|
artikel
|
| 6 |
Gender bias, social bias, and representation in Bollywood and Hollywood
|
Khadilkar, Kunal
|
|
|
3 |
4 |
p.
|
artikel
|
| 7 |
Hierarchical confounder discovery in the experiment-machine learning cycle
|
Rogozhnikov, Alex
|
|
|
3 |
4 |
p.
|
artikel
|
| 8 |
HINT: Hierarchical interaction network for clinical-trial-outcome predictions
|
Fu, Tianfan
|
|
|
3 |
4 |
p.
|
artikel
|
| 9 |
How transparency modulates trust in artificial intelligence
|
Zerilli, John
|
|
|
3 |
4 |
p.
|
artikel
|
| 10 |
Machine vision-assisted identification of the lung adenocarcinoma category and high-risk tumor area based on CT images
|
Chen, Liuyin
|
|
|
3 |
4 |
p.
|
artikel
|
| 11 |
Quantifying the advantage of domain-specific pre-training on named entity recognition tasks in materials science
|
Trewartha, Amalie
|
|
|
3 |
4 |
p.
|
artikel
|
| 12 |
SASC: A simple approach to synthetic cohorts for generating longitudinal observational patient cohorts from COVID-19 clinical data
|
Khorchani, Takoua
|
|
|
3 |
4 |
p.
|
artikel
|
| 13 |
Shapley variable importance cloud for interpretable machine learning
|
Ning, Yilin
|
|
|
3 |
4 |
p.
|
artikel
|
| 14 |
The role of the African value of Ubuntu in global AI inclusion discourse: A normative ethics perspective
|
Gwagwa, Arthur
|
|
|
3 |
4 |
p.
|
artikel
|
| 15 |
Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemic
|
Van Lissa, Caspar J.
|
|
|
3 |
4 |
p.
|
artikel
|
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