Vitenskapelig artikkel

• Hesham Amin Mohamed Abouelhana; Christine Cramer; Kai Finster et al. (2026). Indoor airborne bacterial communities and adult lung health: A cross-sectional study. (ekstern lenke)
• Hesham Amin Mohamed Abouelhana; Tina Šantl-Temkiv; Christine Cramer et al. (2023). Indoor Airborne Microbiome and Endotoxin: Meteorological Events and Occupant Characteristics Are Important Determinants. (ekstern lenke)
• Rajesh Shigdel; Elise Klouman; Anita Bhandari et al. (2014). Factors associated with adherence to antiretroviral therapy in HIV-infected patients in Kathmandu District, Nepal. (ekstern lenke)
• Randi Jacobsen Bertelsen; Antonio Manuel Perez Barrionuevo; Rajesh Shigdel et al. (2022). Association of oral bacteria with oral hygiene habits and self-reported gingival bleeding. (ekstern lenke)
• Rajesh Shigdel; Ane Johannessen; Huang Lin et al. (2023). Oral bacterial composition associated with lung function and lung inflammation in a community-based Norwegian population. (ekstern lenke)
• Hilde Kristin Vindenes; Huang Lin; Rajesh Shigdel et al. (2022). Exposure to Antibacterial Chemicals Is Associated With Altered Composition of Oral Microbiome. (ekstern lenke)
• Mikyeong Lee; Hilde Kristin Vindenes; Farnaz Fouladi et al. (2025). Oral microbiota related to allergy in Norwegian adults. (ekstern lenke)
• Isabel Moreno-Indias; Leo Lahti; Miroslava Nedyalkova et al. (2021). Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions. (ekstern lenke)
• Juan Pablo Lopez Cervantes; Rajesh Shigdel; S. Accordini et al. (2022). Parental TB associated with offspring asthma and rhinitis. (ekstern lenke)
• Domenica D’Elia; Jaak Truu; Leo Lahti et al. (2023). Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action. (ekstern lenke)
• Rajesh Shigdel; Håvard Dalen; Xuemei Sui et al. (2019). Cardiorespiratory Fitness and the Risk of First Acute Myocardial Infarction: The HUNT Study. (ekstern lenke)
• Rajesh Shigdel; Marit Osima; Marko Lukic et al. (2016). Determinants of Transitional Zone Area and Porosity of the Proximal Femur Quantified in Vivo in Postmenopausal Women. (ekstern lenke)
• Rajesh Shigdel; Brendon Stubbs; Xuemei Sui et al. (2019). Cross-sectional and longitudinal association of non-exercise estimated cardiorespiratory fitness with depression and anxiety in the general population: The HUNT study. (ekstern lenke)
• Luai Awad Ahmed; Rajesh Shigdel; Ragnar Martin Joakimsen et al. (2015). Measurement of cortical porosity of the proximal femur improves identification of women with nonvertebral fragility fractures. (ekstern lenke)
• Laura Judith Marcos-Zambrano; Kanita Karaduzovic Hadziabdic; Tatjana Loncar Turukalo et al. (2021). Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment. (ekstern lenke)
• Sanjay Gyawali; Juan Pablo Lopez Cervantes; Nils Oskar Jögi et al. (2023). Previous tuberculosis infection associated with increased frequency of asthma and respiratory symptoms in a Nordic–Baltic multicentre population study. (ekstern lenke)
• Rajesh Shigdel; Marit Osima; Luai Awad Ahmed et al. (2015). Bone turnover markers are associated with higher cortical porosity, thinner cortices, and larger size of the proximal femur and non-vertebral fractures. (ekstern lenke)

Konferanseposter

• Rajesh Shigdel; Håvard Dalen; Xuemei Sui et al. (2017). Cardiorespiratory fitness and the risk of first myocardial Infraction: The HUNT study Journal of American Heart Association. (ekstern lenke)
• Rajesh Shigdel; Linda Ernstsen (2018). Cross-sectional and Longitudinal Association of Cardiorespiratory Fitness with depression and anxiety in the general population.. (ekstern lenke)

Vitenskapelig litteraturgjennomgang

• Georgios Papoutsoglou; Sonia Tarazona; Marta B. Lopes et al. (2023). Machine learning approaches in microbiome research: challenges and best practices. (ekstern lenke)
• Stephanie Bezzina Wettinger; Kanita Karaduzovic-Hadziabdic; Ritienne Attard et al. (2025). Bottlenecks in advancing and applying multiomic data integration—common data resources as rate-limiting drivers—the high-impact use case of atherosclerotic cardiovascular disease - PMC. (ekstern lenke)
• Laura Judith Marcos-Zambrano; Víctor Manuel López-Molina; Burcu Bakir-Gungor et al. (2023). A toolbox of machine learning software to support microbiome analysis. (ekstern lenke)
• Eliana Ibrahimi; Marta B. Lopes; Xhilda Dhamo et al. (2023). Overview of data preprocessing for machine learning applications in human microbiome research. (ekstern lenke)
• Danielle Grant; Ole Bjørn Brodnicke; Ann Evankow et al. (2021). The Future of DNA Barcoding: Reflections from Early Career Researchers. (ekstern lenke)

Doktorgradsavhandling

• Rajesh Shigdel; Åshild Bjørnerem (2016). Cortical porosity as a target for fracture prevention: The Tromsø Study. (ekstern lenke)

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