NEWS

A team of researchers and volunteers from across the globe have trained computers to predict the way a molecule will smell based on its structure. The feat may help scientists unravel the still-mysterious relationship between molecular structure and odor perception (read more)

Whenever you say a color name, you’re referring to specific properties of light waves. Sounds work the same way, but with properties of compression waves. But what about smell? With all of the different scented chemicals out there and their complex interactions, it’s been impossible to create a simple scale to describe the odors or noses detect. (read more)

Machines don’t have noses – but they can now attempt to identify scents thanks to a nifty new algorithm.

A big international group of scientists pooled together to launch the Dream Olfaction Prediction Challenge, a crowd-sourced competition to learn how to predict the scent of molecules.(read more)

Although the Roman philosopher Lucretius was right when he wrote that odors were caused by a flow of atoms emitted by objects, smell may still be the least understood of our five senses. While we use it every day, science has not fully understood how molecules produce an odor, or how to determine what they smell like without sniffing them. We have known for decades that for sight, seeing requires wavelengths of light, and for sound, hearing is done through tonal frequencies, but the olfactory-code remained unbroken – until now. (Read more)

Artificial intelligence could finally help researchers tell a molecule’s odor from its structure.  Light and sound are predictable. Smells are not.  (Read more)

As part of Vice President Joe Biden’s $1 billion Cancer Moonshot initiative, hundreds of scientists and coders are attempting to improve the ability of mammograms to detect breast cancer. (Read more.)

Participants in the Digital Mammography DREAM Challenge are trying to do their part to contribute to the nationwide goal of completing 10 years of cancer research in half the time. It’s funded under the Cancer Moonshot’s Coding4Cancer initiative —pitting coding teams against each other in a friendly fight to see who can come up with the best way to improve mammogram readings. (Read more)

Scientists from around the world have announced a new challenge to find the best algorithms for detecting all of the abnormal RNA molecules in a cancer cell. This is a community effort, inviting all scientists and enthusiasts to participate in a collaborative crowd-sourced benchmarking effort. Based on the success of other recent SMC-Het challenges, the new SMC-RNA challenge will use a cloud model in which contestants submit their algorithms, not their results, to the evaluation. It will be the first challenge to make use of the new NCI Cloud Pilots. (Read more.)

The Ninth Annual RECOMB/ISCB Conference on Regulatory and Systems Genomics, with DREAM Challenges and Cytoscape Workshop is now accepting abstracts for oral presentations and posters. Topics of interest range from Network visualization and analysis to Translational systems biology.  (Learn more.)

The Cancer Moonshot is hosting a summit at Howard University, in Washington, D.C.  In conjunction with the Summit, the Vice President is announcing a set of new public and private sector actions to drive progress toward ending cancer as we know it.  Federal agencies have come together as part of the Cancer Moonshot Task Force and are announcing today additional investments, improved policies, and new private sector partnerships focused on catalyzing new scientific breakthroughs, unleashing the power of data, accelerating bringing new therapies to patients, strengthening prevention and diagnosis, and improving patient access and care.  Among the initiatives announced today was the official launch of the first of the Coding4Cancer (C4C) Challenges: the Digital Mammography DREAM Challenge. (Read more.)