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An inside look at five research developments that have the potential to transform the treatment of cancer
Artificial intelligence may help predict response to immune checkpoint blockade in patients with metastatic melanoma
Combining machine learning with cell engineering, scientists can design ‘living medicines’ that precisely target tumors
Enrica Quattrocchi, MD, examines cutaneous melanoma by applying AI to distinguish between slow growing and aggressive melanomas.
Joann Elmore, MD, MPH, is working to improve the accuracy and consistency of melanoma diagnoses
Pacific NW cancer centers and Microsoft aim to accelerate research by helping data flow.
“This technology could help inform how aggressive or conservative surgery needs to be.”
This technological advancement could help make up for a shortage in radiologists in the United Kingdom in particular.
The crowdsourced tool could help alleviate the burden on oncologists and improve the quality and consistency of cancer care.
New study tests ability of natural language processing to search lung cancer patients’ records for treatable mutations.
Artificial intelligence has the potential to revolutionize cervical cancer screening, particularly in low-resource settings.
ASH 2018 conference highlights precision medicine, machine learning and gut microbiome.
The program proved as accurate as experienced pathologists at diagnosing adenocarcinomas and squamous cell carcinomas.
The system performed at least as well as 21 board-certified dermatologists in distinguishing skin melanomas from benign moles.
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