Most Teens Report Using Marijuana Less Often After Legalization

| March 18, 2019

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Only one group of teenagers used marijuana more often after retail sales were legalized in Washington than they did before high school seniors who work 11 or more hours per week, according to new research led by a WSU College of Nursing professor. Marijuana use went down significantly among 8th and 10th graders after legalization, and among 12th graders who didn’t work. It stayed nearly even for high school seniors who work less than 11 hours per week.

Spotlight

Lola.com

Lola.com makes Agile Travel Management real by providing a super simple way to manage, book and report on business travel, saving employers and travelers time and money. Happy employee travel experiences within a policy can be set up in five minutes. Lola.com uses machine learning and 24/7 support to help travelers easily book trips, while empowering managers to create policies, view budgets and expenditures, and monitor their globetrotting team efficiently. Based in Boston, the company was founded in 2015 by Paul English, co-founder of the travel booking site KAYAK, and is led by CEO Mike Volpe, previously CMO at HubSpot.

OTHER ARTICLES
MEDICAL

Better Purification and Recovery in Bioprocessing

Article | August 2, 2021

In the downstream portion of any bioprocess, one must pick through the dross before one can seize the gold the biotherapeutic that the bioprocess was always meant to generate. Unfortunately, the dross is both voluminous and various. And the biotherapeutic gold, unlike real gold, is corruptible. That is, it can suffer structural damage and activity loss. When discarding the dross and collecting the gold, bioprocessors must be efficient and gentle. They must, to the extent possible, eliminate contaminants and organic debris while ensuring that biotherapeutics avoid aggregation-inducing stresses and retain their integrity during purification and recovery. Anything less compromises purity and reduces yield. To purify and recover biotherapeutics efficiently and gently, bioprocessors must avail themselves of the most appropriate tools and techniques. Here, we talk with several experts about which tools and techniques can help bioprocessors overcome persistent challenges. Some of these experts also touch on new approaches that can help bioprocessors address emerging challenges.

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DIAGNOSTICS

Making Predictions by Digitizing Bioprocessing

Article | April 20, 2021

With advances in data analytics and machine learning, the move from descriptive and diagnostic analytics to predictive and prescriptive analytics and controls—allowing us to better forecast and understand what will happen and thus optimize process outcomes—is not only feasible but inevitable, according to Bonnie Shum, principal engineer, pharma technical innovation, technology & manufacturing sciences and technology at Genentech. “Well-trained artificial intelligence systems can help drive better decision making and how data is analyzed from drug discovery to process development and to manufacturing processes,” she says. Those advances, though, only really matter when they improve the lives of patients. That’s exactly what Shum expects. “The convergence of digital transformation and operational/processing changes will be critical for the facilities of the future and meeting the needs of our patients,” she continues. “Digital solutions may one day provide fully automated bioprocessing, eliminating manual intervention and enabling us to anticipate potential process deviations to prevent process failures, leading to real-time release and thus faster access for patients.” To turn Bioprocessing 4.0 into a production line for precision healthcare, real-time release and quickly manufacturing personalized medicines will be critical. Adding digitization and advanced analytics wherever possible will drive those improvements. In fact, many of these improvements, especially moving from descriptive to predictive bioprocessing, depend on more digitization.

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Spotlight

Lola.com

Lola.com makes Agile Travel Management real by providing a super simple way to manage, book and report on business travel, saving employers and travelers time and money. Happy employee travel experiences within a policy can be set up in five minutes. Lola.com uses machine learning and 24/7 support to help travelers easily book trips, while empowering managers to create policies, view budgets and expenditures, and monitor their globetrotting team efficiently. Based in Boston, the company was founded in 2015 by Paul English, co-founder of the travel booking site KAYAK, and is led by CEO Mike Volpe, previously CMO at HubSpot.

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