Explore innovative research on health care and life sciences topics using SAS software

Scientific Publications Featuring SAS Software

Explore recent publications in health care and life sciences written by both SAS authors and authors outside SAS who used SAS software to conduct their research. This selection represents some of the most prominent and timely research available, demonstrating the key role SAS plays in driving innovation through data and AI.

SAS Authors
Authors Outside SAS

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Title	Authors	Publication
Charting a new course in healthcare: early-stage AI algorithm registration to enhance trust and transparency	Townsend, R., van Genderen, M.E., van de Sande, D. et al	Nature Digital Medicine
The Prognostic Value of Total Tumor Volume Response Compared With RECIST1.1 in Patients With Initially Unresectable Colorectal Liver Metastases Undergoing Systemic Treatment	Wesdorp, N. J., Bolhuis, K., Roor, J. et al	Annals of Surgery Open
Machine learning versus logistic regression for the prediction of complications after pancreatoduodenectomy	Ingwersen, E. W., Stam, W. T., Meijs, B. J. V., Roor, J., et al	Surgery
Identifying Genetic Mutation Status in Patients with Colorectal Cancer Liver Metastases Using Radiomics-Based Machine-Learning Models	Wesdorp, N., Zeeuw, M. van der Meulen, D., Roor, J., et al	Cancers
Deep learning models for automatic tumor segmentation and total tumor volume assessment in patients with colorectal liver metastases	Wesdorp, N.J., Zeeuw, J.M., Postma, S.C.J., Roor, J., et al	European Radiology Experimental
Research Protocol for an Observational Health Data Analysis on the Adverse Events of Systemic Treatment in Patients with Metastatic Hormone-sensitive Prostate Cancer: Big Data Analytics Using the PIONEER Platform	Lambrecht, M., Eid, S., Palanisamy, S. et al	European Urology Open Science
ProfhEX: AI-based platform for small molecules liability profiling	Lunghini, F., Fava, A., Pisapia, V., Sacco, F., et al	Journal of Cheminformatics
Using Network Analysis and Machine Learning to Identify Virus Spread Trends in COVID-19	Reis Pinheiro, C.A., Galati, M., Summerville, N., & Lambrecht, M.	Big Data Research
Using artificial intelligence in a primary care setting to identify patients at risk for cancer: a risk prediction model based on routine laboratory tests	Soerensen, P.D., Christensen, H., Worsoe Laursen, S.G., Hardahl, C., Brandslund, I., & Skov Madsen, J.	Clinical Medicine and Laboratory Medicine (CCLM)
Prediction of risk of acquiring urinary tract infection during hospital stay based on machine-learning: A retrospective cohort Study	Kjølseth Møller, J., Sørensen, M., & Hardahl, C.	Plos One

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