News Archive

The FLC invites you to submit images of your lab’s work for its 2015 planner! Why keep all of that hard work to yourself? Share it with the more than 10,000 planner recipients throughout the FLC community, including members of Congress, scientists, tech transfer professionals, and members of academia and industry. The FLC planner features an array of images displaying the innovative research and development that occur daily in our nation’s federal labs.

To submit images of your lab’s work, carefully read the submission criteria below. You also may want to coordinate your submission with, or through, your agency’s FLC representative or public affairs office.

Top pharmaceuticals face a dilemma in that many blockbuster drugs are losing patent protection and existing pipelines may not compensate for lost revenues. The choice for many is layoffs, office closings, downsizing or to innovate with new products. Most companies will do the former if they must but prefer the latter. Rather than the megamergers that achieve big cost savings through layoffs and factory closings, most drug companies are aiming for transactions that grow their bottom line. In the last few years, this trend has resulted in a complex series of deals and transactions, ranging from complete buyouts to licensing transactions to a variety of collaborative arrangements.

The Nasdaq Biotechnology Index (NBI) has been on a wild ride in 2014 with a 20 percent gain in the first two months, a 24 percent drop from late February to mid-April, and a rebound of 16 percent off April lows by early June. This recent sell-off follows a 130 percent gain over the last three years and the debut of 100 biotech IPOs, leading some investors to ask if the recent sell-off is the start of a bubble bursting.

Indeed, the biotech sector has been hot for the last couple of years, but there is very little evidence to support that biotech has been forming a bubble ready to pop.

Over the last two and a half years the National Science Foundation I-Corps has taught over 300 teams of scientists how to commercialize their technology and how to fail less, increasing their odds for commercial success.

After seeing the process work so well for scientists and engineers in the NSF, we hypothesized that we could increase productivity and stave the capital flight by helping Life Sciences startups build their companies more efficiently.

Just how valuable is “technology transfer” for universities?   This question is addressed in “More than Money: The Exponential Impact of Academic Technology Transfer,” an article from the National Academy of Inventors (NAI) that examines the impact of landmark 1980 legislation that facilitated technology transfer from the academic inventors’ “bench” to commercialization and the far-reaching and beneficial changes for universities and communities that have resulted.

A collaboration between the National Science Foundation (NSF) and the National Institutes of Health will give NIH-funded researchers training to help them evaluate their scientific discoveries for commercial potential, with the aim of accelerating biomedical innovations into applied health technologies.

I-Corps at NIH is a pilot of the NSF Innovation Corps (I-Corps) program specially tailored for biomedical research. Academic researchers and entrepreneurs with Small Business Innovation Research and Small Business Technology Transfer (SBIR/STTR) Phase I awards – awards that establish feasibility of proof of concept for commercializable technology – from participating NIH institutes will be eligible to apply to I-Corps at NIH. NIH will begin outreach to the small business research community with a June 25 program briefing at the 2014 BIO International Convention in San Diego, and a webinar on July 2.

The U.S. Food and Drug Administration on Tuesday issued proposed guidelines for the pharmaceutical and medical device industries for posting information on social media networks and correcting misinformation posted by others.

The long-awaited guidance would effectively limit the amount of product advertising a company can do on sites where character space is limited, such as Twitter.

At Novartis’s research lab in Cambridge, Massachusetts, a large incubator-like piece of equipment is helping give birth to a new era of psychiatric drug discovery. Inside it, bathed in soft light, lab plates hold living human stem cells; robotic arms systematically squirt nurturing compounds into the plates. Thanks to a series of techniques perfected over the last few years in labs around the world, such stem cells—capable of developing into specialized cell types—can now be created from skin cells. When stem cells derived from people with, say, autism or schizophrenia are grown inside the incubator, Novartis researchers can nudge them to develop into functioning brain cells by precisely varying the chemicals in the cell cultures.

Governor Martin O’Malley and The Maryland Department of Business and Economic Development announced today that Cellphire, a Rockville biotechnology company, has received a $1 million investment through the State’s InvestMaryland program. Cellphire is developing stabilized cellular products, including freeze-dried platelets that can be stored for years, for use in a range of advanced therapeutic and diagnostic applications.

“Supporting entrepreneurs and innovators like those at Cellphire is a central piece of Maryland’s broad support of the startups and small businesses that move our Innovation Economy forward and keep our State competitive in the 21st Century,” said Governor O’Malley. “Maryland is a center of healing and discovery. The technology being developed by Cellphire has the potential to improve care and save lives around the globe.”

Researchers at WellDoc® today presented updated results of its hypoglycemia prediction technology at this week’s 2014 American Diabetes Association 74th Scientific Sessions. In previous work, using just one week of blood glucose data, WellDoc’s models were shown to predict correctly 90 percent of the time that hypoglycemia would occur the following day. Today, WellDoc announced an enhanced model that incorporates both glucose and medication data has demonstrated the ability to predict hypoglycemia within a specific hour.

“The challenge in predicting hypoglycemia is that most patients with type 2 diabetes measure their blood glucose once or twice per day. This so-called ‘sparse data’ makes mathematical forecasting difficult,” states WellDoc Chief Data Science Officer, Anand Iyer, Ph.D. “We used machine learning algorithms which allow the computer to detect patterns and make predictions after being trained on thousands of data points.”