Cancer Screening Selfies, Obesity Cancer Link and More…

Surfing the web, I found these stories of interest:

  • Researchers at the University of Washington have developed a new app that uses smartphone selfies to easily screen for pancreatic cancer and other disease:
  • Scientists at St. Jude’s Research Hospital have established the largest collection of pediatric solid tumor samples and drug sensitivity data in an ongoing effort to effectively open source the hospital’s expertise, with the hospital now formally opening up its Childhood Solid Tumor Network to a wider audience. Read more on this significant contribution in Nature.
  • A new study led by researchers at the Michigan State University offers new insight on how a specific protein released from fat in the body can cause a cancerous cell. The findings were reported in Oncogene.

First Look: #DeepLearning for Medical Image Analysis from @elsbiomedchem

Based on a user suggestion, the Library has recently added Deep Learning for Medical Image Analysis to our collection. This book gives a clear understanding of the principles and methods of deep learning concepts, showing how they have been applied to medical image detection, segmentation and registration, and computer-aided analysis, using a wide variety of application areas. Key features of this text include

  • Common research problems and challenges in medical image analysis
  • Deep learning methods and the theories behind approaches for medical image analysis
  • How algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology

Deep Learning for Medical Image Analysis may be accessed through our eBook A-Z listing or by searching Summon.

Estimating Genetic Testing in the US Following Cancer and More…

A few recent cancer research publications: