Leveraging Science and Technology for Effective Instruction
There is currently unprecedented interest in the potential of technology to transform learning. This buzz around technology and learning is especially loud in higher education, where pundits,...
Oct, 12, 2015
Applying deep learning to biomedical images has the potential to enable earlier and more accurate disease detection, allow more precisely tailored treatment plans, and ultimately improve patient outcomes.
Revolutionary technological advances in the areas of autonomous vehicles, speech recognition, cybersecurity, and earthquake prediction all depend on the family of artificial intelligence...
Nov, 16, 2017
Engaging Data Scientists in Biomechanics
Most of us take walking or running for granted. But injury or neurological disease can cause these basic skills to deteriorate to such a degree that they need to be re-learned. To better understand...
Nov, 10, 2017
Mobilize Center MOOCs by Professors Who Wrote the Book
Want to dip a toe in data science? Why not take a MOOC (massively open online course) from someone who literally wrote the book on the topic at hand?
Several MOOCs offered by Stanford...
Oct, 05, 2015
Brain implants are giving hope to the disabled and revolutionizing neuroscience
Matthew Nagle can move a cursor on a computer screen with only the power of his thoughts. It’s a remarkable feat for anyone, but especially momentous for Nagle, who is paralyzed from the neck...
Aug, 31, 2005
Molecular simulation of the ribosome
Inside a cell, the ribosome deciphers genetic codes to produce proteins at unfathomable speeds. Now, researchers at Los Alamos National Laboratory (LANL) have simulated this complex nano-machine in...
Mar, 31, 2006
Early evidence suggests a mixed picture
Stanford University’s 2004-2005 computer science T-shirts exhibited symbols for six men and one woman -- an accurate portrayal of the ratio in the department and only slightly worse than the...
Mar, 31, 2006
Could fractals join the collection of mathematical gems that propel biomedical image analysis to new heights?
We collect large amounts of biomedical image data, hoping to glean insights into our biological world. While deep learning has become popular for finding features that, for example, distinguish...
Nov, 16, 2017
BD2K Builds Training Resources
The field of biomedical data science is growing so fast that it threatens to leave some researchers behind.
“Some of these big data skills were not needed 5 to 10 years ago, and many...
Oct, 07, 2015
State-of-the-art approaches are a boon to biomedicine
Relevant NIH Institutes: NHGRI, NIBIB, NLM, and all disease-focused institutes including NCI, NHLBI, NIDDK, NINDS, NIAID, and NIAMS
Since the 1960s, biologists have manually curated...
Jun, 21, 2017
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