Oncology

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Article • Existing solutions need to mature, experts find

Interactive mobile cancer apps: promising, but formative

Interactive mobile apps have become ubiquitous in daily life. The Covid-19 pandemic has escalated the use of disease-specific monitoring apps. Mobile apps enabling cancer patients to self-manage their physical condition and symptoms can help them to evaluate toxic side effects of their treatments, offer artificial intelligence (AI)-generated recommendations to minimize them, and alert them to…

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Article • Mid-treatment scans can reduce treatment sessions

De-escalating radiation therapy for oropharynx cancer with FDG-PET

Using fluorodeoxyglucose positron emission tomography (FDG-PET) imaging may give insights into possible dose reductions in ongoing radiation therapy of head and neck cancer. A promising study to explore this option was presented at the 2022 ASTRO/ASCO Multidisciplinary Head and Cancer Symposium held in Phoenix, Arizona.

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Article • AI-based personalized medical care

I³lung: EU launches lung cancer initiative

This summer, The European Commission launched I3lung, a new research initiative as a part of Horizon Europe, the EU’s research and innovation program. This research initiative aims to create a cutting-edge, decision-making tool to help clinicians and patients select the best lung cancer treatment based on each patient’s specific needs and circumstances.

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Article • Early detection approach

Multi-cancer blood tests could shake up screening

New tests can identify over 50 types of cancer and boost detection of traditionally elusive cancers from tumour DNA in blood, researchers showed at the ESMO congress in September. These multi-cancer early detection (MCED) tests in development can spot common cancer signals and predict where the signal comes from in the body, results from a prospective investigation suggest.

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Article • Visceral imaging

Endosonography: AI takes on the “supreme discipline”

Endosonography poses unique challenges for medical professionals, because two demanding disciplines have to be mastered at the same time. The use of artificial intelligence (AI) could help speed up the notoriously slow learning curve of the procedure, says Prof Dr Christoph F. Dietrich. At the Visceral Medicine Congress in Hamburg, the expert explained how AI can help endosonography achieve…

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Malignant tumour management

’Our machine learning model achieved 88.9% accuracy in predicting the sarcoma-specific survival rate’

Clinical management of soft tissue sarcoma is particularly challenging. Dr Sebastian Foersch, researcher at the Institute of Pathology at the University Medical Center in Mainz, Germany, has used a deep learning model for diagnosis and prognosis prediction of soft tissue sarcoma using conventional histopathology slides.

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