Cancer

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Supervised learning approach

A new deep learning-based algorithm to predict relapse-free survival in papillary thyroid carcinoma

The tall cell variant (TCV) is an aggressive subtype of papillary thyroid carcinoma (PTC). Sebastian Stenman, researcher from the Institute for Molecular Medicine, and the Department of Pathology at the University of Helsinki, Finland, is developing and training a deep learning algorithm using supervised learning to detect and quantify the proportion of tall cells in PTC.

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Article • Prediction for breast, ovarian, cervical, and endometrial carcinoma

New test detects four women’s cancers from cervical screening samples

What if a test analysing cervical cells from a gynaecological swab could be used to detect four different female cancers at an early stage and also predict cancer risk over a healthy woman's lifetime? Researchers at the EUTOPS Institute in Innsbruck, Austria, are developing tests to do just that for breast, ovarian, cervical, and endometrial cancer detection.

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Article • Patient front and centre

One-Stop Clinic: diagnosis and treatment in one day, on one site, by one team

Cancer – one word that turns the patients’ world upside down. In addition to uncertainty and fear, they often face an unnerving series of exams and treatments. With its new One-Stop Clinic concept, GE Healthcare now wants to help make this journey as smooth as possible. At a single location, in an environment designed for comfort, the patients undergo all necessary steps within a short period…

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News • Alveolar rhabdomyosarcoma

Promising new treatment for deadly pediatric tumor

Alveolar rhabdomyosarcoma is a rare pediatric tumor. For more than 40 years there has not been any new development regarding treatment. Research led by Prof. Dr. Anton Henssen at Charité University Berlin has now identified a new therapeutic option, using a drug that is currently under investigation for other types of cancer.

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