Opticom Data Research
Providing information, analysis and software relating to moles and skin cancer
Science and technology news - Skin cancer
UCLA scientists develop an algorithm that correctly predicts which patients respond to a new life-saving melanoma drug
Image: Dr. Paul Tumeh and Dr. Antoni Ribas
In September 2014 the FDA approved the use of the drug pembrolizumab (Keytruda)
which has been very successful for treating patients with advanced melanoma.
However, only 30 percent of patients respond to the drug.
Image: 3D molecular image of Human Programmed Cell Death 1 Receptor
In a study using patient-derived tumor samples grown in mice, University of
Colorado Cancer Center researcher John Tentler, PhD, and colleagues, used the
experimental drug TAK-733 and reported anti-cancer activity in 10 out of 11
patient tumor samples, with tumors shrinking up to 100 percent.
Image: 3D molecular image of B-Raf protein ("serine/threonine-protein kinase B-Raf")
The handheld device, OCI-1000 by BaySpec, which was a Prism Award Finalist in 2014, acquires continuous VNIR (visible and near-infrared) data and provides a detailed view of the spectrum for every point in the image. Weighing only 0.5 lb (227 g) it has many potential applications, including the use in outpatient medical clinics to check for skin cancer.
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