Michiel Bongaerts, Ramon Bonte, Serwet Demirdas, Hidde H. Huidekoper, Janneke Langendonk, Martina Wilke, Walter de Valk, Henk J. Blom, Marcel J.T. Reinders, George J.G. Ruijter (2022), Integration of metabolomics with genomics: Metabolic gene prioritization using metabolomics data and genomic variant (CADD) scores, In Molecular Genetics and Metabolism Volume 136 p.199-218.

A.A. Gudi (2022), Less Machine (=) More Vision: Approaches towards Practical and Efficient Machine Vision with Applications in Face Analysis, PhD Thesis Delft University of Technology.

Jasmijn A. Baaijens, Alessandro Zulli, Isabel M. Ott, Ioanna Nika, Mart J. van der Lugt, Mary E. Petrone, Tara Alpert, Joseph R. Fauver, Chaney C. Kalinich, More Authors (2022), Lineage abundance estimation for SARS-CoV-2 in wastewater using transcriptome quantification techniques, In Genome biology Volume 23.

Thomas P. Brouwer, Natasja L. de Vries, Tamim Abdelaal, Zheng Li, Dina Ruano, Arantza Fariña, Boudewijn P.F. Lelieveldt, Hans Morreau, Alexander L. Vahrmeijer, More Authors (2022), Local and systemic immune profiles of human pancreatic ductal adenocarcinoma revealed by single-cell mass cytometry, In Journal for ImmunoTherapy of Cancer Volume 10.

O.S. Kayhan (2022), Locality in space and time for data-efficient visual recognition, PhD Thesis Delft University of Technology.

Colin J. Worby, Henry L. Schreiber, Timothy J. Straub, Lucas R. van Dijk, Ryan A. Bronson, Benjamin S. Olson, Jerome S. Pinkner, Chloe L.P. Obernuefemann, Vanessa L. Muñoz, More Authors (2022), Longitudinal multi-omics analyses link gut microbiome dysbiosis with recurrent urinary tract infections in women, In Nature Microbiology Volume 7 p.630-639.

Arman Naseri Jahfari, David Tax, Marcel Reinders, Ivo van der Bilt (2022), Machine Learning for Cardiovascular Outcomes from Wearable Data: Systematic Review from a Technology Readiness Level Point of View, In JMIR Medical Informatics.

C.M.W. Goedmakers, L. M. Pereboom, J. W. Schoones, M. L. de Leeuw den Bouter, R. F. Remis, M. Staring, C. L.A. Vleggeert-Lankamp (2022), Machine learning for image analysis in the cervical spine: Systematic review of the available models and methods, In Brain and Spine.

Merel O. Mol, Sven J. van der Lee, Marc Hulsman, Yolande A.L. Pijnenburg, Phillip Scheltens, Harro Seelaar, John C. van Swieten, Laura Donker Kaat, Henne Holstege, Jeroen G.J. van Rooij (2022), Mapping the genetic landscape of early-onset Alzheimer’s disease in a cohort of 36 families, In Alzheimer's Research and Therapy Volume 14.

Anna Niehues, Daniele Bizzarri, Marcel J.T. Reinders, P. Eline Slagboom, Alain J. van Gool, Erik B. van den Akker, Peter A.C. 't Hoen (2022), Metabolomic predictors of phenotypic traits can replace and complement measured clinical variables in population-scale expression profiling studies, In BMC Genomics Volume 23.