Novel machine learning approach reveals the hidden origins of cancers
The OncoNPC artificial intelligence model could help solve the mystery of cancers of unknown primary
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Shriram Rajurkar is a PhD student contributor to Physics World, working as a radiation oncology medical physicist, DHR-ICMR research fellow in the department of radiotherapy at King George's Medical University, India. His research involves the implementation of a laser-based, cost-effective motion monitoring system for breast cancer radiotherapy, which can contribute to motion management during treatment delivery. Shriram enjoys reading and writing, and is keen to communicate scientific discoveries to the medical physics community.
The OncoNPC artificial intelligence model could help solve the mystery of cancers of unknown primary
A point-of-care test for HPV infections could provide affordable cervical cancer testing in low-resource settings
AI tool uses histopathology images to predict prognosis, assess tumour aggression and suggest optimal treatments for patients with colorectal cancer
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