Handheld device can locate margins of cancerous tissue in the pancreas, allowing for more accurate cancer excision
Read article: MasSpec Pen detects cancer tissue in real time during surgery
A metric that determines patient size directly from X-ray images could enable automated patient-specific dosimetry
Read article: Estimating patient size from X-ray data improves radiation risk assessment
Optical signals provide a bridge between EEG and functional MRI in a novel trimodal brain scanning system
Read article: Measuring brain function with three techniques simultaneously offers new insight into the working mind
A new deep-learning framework achieves up to 97% accuracy in detecting SARS-CoV-2 infection from patient lung scans
Read article: Transfer-learning models detect COVID-19 from lung CT images
Deep learning method could improve diagnosis of neuron-damaging eye and brain diseases
Read article: AI model accurately localizes optical neuronal cells
A prediction tool based on connectomes and machine learning forecasts motor recovery following stroke, with potential to significantly improve treatment
Read article: Mapping the brain’s neural connections can predict recovery after stroke
X-ray spectromicroscopy reveals elemental copper and iron in amyloid plaques, suggesting previously undiscovered brain chemistry
Read article: Elemental forms of metals discovered in brains of Alzheimer’s patients
Understanding cerebral microbubble distribution could open up new avenues for ultrasound-based imaging and therapies
Read article: Mapping microbubble distribution in the brain
This podcast also looks back on an exciting week in astronomy
Read article: Physics tracks changes in English dialects, machine learning confused by COVID-19
Adding optical scatter imaging to the micro-CT used to assess excision margins could ensure complete tumour resection during breast-conserving surgery
Read article: Optical imaging could reduce recall surgery for breast cancer patients
