Computational analysis of MRI scans from glioblastoma patients may help predict survival and response to treatments
Read article: Radiomics-based MR image analysis can predict brain tumour prognosis
Ultrasound localization microscopy has potential to be a significant imaging modality for diagnosis and therapy monitoring of solid tumours
Read article: Ultrasound assessment of tumour oxygenation could guide cancer therapy
An artificial intelligence algorithm can provide fully automated quantification of emphysema
Read article: AI can enhance accuracy of CT scans in emphysema
A simple addition to a conventional microscope allows for all-digital histopathology
Read article: Hybrid infrared–optical microscope could improve cancer diagnostics
A computational technique originally developed for seismic imaging can generate high-resolution ultrasound images of the brain
Read article: Seismic imaging technology sees deep inside the brain
A study of low-dose chest CT scans eases concerns over radiation-induced cancer risks related to lung cancer screening
Read article: Low-dose chest CT doesn’t appear to damage DNA
Breast MRI with an abbreviated scanning protocol finds more invasive cancers in women with dense tissue than digital breast tomosynthesis
Read article: Abbreviated breast MRI proves value for invasive cancer
In this podcast episode we ask if online virtual meetings are the future for physics conferences
Read article: Coronavirus hits the conference calendar, physicists excel in ‘deep tech’ start-up challenge, remembering Freeman Dyson
Combining artificial intelligence algorithms with radiologist assessment can improve the accuracy of detecting cancer in screening mammograms
Read article: Crowdsourced AI challenge aims to improve mammography accuracy
Excerpts from the Red Folder
Read article: Birds learn from watching TV, eye-catching science images and levitating blood
