Posts Tagged ‘melanoma’

Surprising variability in melanoma diagnostic findings

Although pathologists are likely to agree when evaluating skin biopsies that are benign or highly malignant, they often disagree when lesions fall into intermediate categories, new research finds. Pathologists’ diagnostic interpretations of melanoma in situ and early stage invasive melanoma – categories that are not well characterized – were neither reproducible nor accurate. And this may be creating the potential for both overdiagnosis and underdiagnosis of melanoma, according to the new study with two OHSU … Read More

Mole Mapper brings open data for cancer research

A new report in Nature Scientific Data explains how researchers can access and use the growing trove of data coming from users of Mole Mapper, a mobile app for tracking suspicious nevi.   Mole Mapper gives users the option to contribute to melanoma research by sharing anonymous images that show how moles evolve over time, potentially advancing toward malignancy. Investigators with Institutional Review Board oversight can access this user-generated data. More than 11,000 users have downloaded the … Read More

What to make of smart machines that may soon outperform doctors

Artificial neural networks are getting really good at identifying skin cancer The first artificial intelligence to solve scientific problems debuted in 1967, when it proved capable of deducing molecular structures from mass spectrometry data. Now, of course, we have AIs that trounce “Jeopardy!” champions and chess grandmasters. And this week the machines ticked off a victory in the field of medicine: identifying melanomas and malignant carcinomas as accurately as expert humans, according to a report in the … Read More

Targeting leukemia with drug combinations

Targeting leukemia with drug combinations

Cancer researchers have devised a way to rapidly screen combinations of drugs to identify pairs of agents most likely to work synergistically against some of the most difficult to treat forms of leukemia.