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Joram M. Posma on Muck Rack

Joram M. Posma

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Articles

Machine learning and radiomics for segmentation and classification of adnexal masses on ultrasound - npj Precision Oncology

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By Nishat Bharwani, Joram M. Posma, Eric O Aboagye, Martina Fantauzzi
| Nature Verified
Abstract Ultrasound-based models exist to support the classification of adnexal masses but are subjective and rely upon ultrasound expertise. We aimed to develop an end-to-end machine learning (ML) model capable of automating the classification of adnexal masses.
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Deep representation learning of tissue metabolome and computed tomography annotates NSCLC classification and prognosis - npj Precision Oncology

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By Mitchell Chen, Richard Lee, Joram M. Posma
| Nature Verified
Abstract The rich chemical information from tissue metabolomics provides a powerful means to elaborate tissue physiology or tumor characteristics at cellular and tumor microenvironment levels. However, the process of obtaining such information requires invasive biopsies, is costly, and can delay clinical patient management. Conversely, computed tomography (CT) is a clinical standard of care but does not intuitively harbor histological or prognostic information.
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Vocabulary Matters: An Annotation Pipeline and Four Deep Learning Algorithms for Enzyme Named Entity Recognition

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By Meiqi Wang, Avish Vijayaraghavan, Tim Beck, Joram M. Posma
| dx.doi.org
Download Hi-Res ImageDownload to MS-PowerPointCite This:J. Proteome Res.
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