Most people think of optimism as a good thing - a positive outlook in challenging circumstances. But in reality, it's a psychological state that can be "contagious" in a bad way. A new study, published in the journal Psycho-Oncology, details how a seriously ill patient's optimism can impact a clinician's survival prognosis in palliative care conversations.
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TISSUE DIAGNOSTICS SUCCESSFULLY TESTED
Today physicians are still severely hampered by the lack of precision of the needle tip location during a biopsy. Looking at lung cancers, 25% of the diagnoses suffer a false negative outcome through traditional biopsy methods. In the future, this can be avoided: for the first time, the European project InSPECT developed miniature spectrometers with integrated light sources enabling guided sensing.
Please give an overview of the past research into machine learning and artificial intelligence in medical imaging. What are we currently able to do with this research?
The two major tasks in medical imaging that appear to be naturally predestined to be solved with AI algorithms are segmentation and classification. Most of techniques used in medical imaging were conventional image processing, or more widely formulated computer vision algorithms.
A PROTEIN INDICATING HIGHER BREAST CANCER MORTALITY RISK
With the support of the FWF, an oncologist found a biomarker for breast cancer having a poor prognosis and developed two viable methods to detect it in tissue samples.
Proscia Inc., a data solutions provider for digital pathology, announced today the launch of a new product optimized for digital clinical workflows in anatomic pathology labs. Built from its award-winning software platform, Proscia’s new offering leverages machine learning and artificial intelligence (AI) techniques, leading the move towards precision medicine and computational pathology.