https://youtube.com/watch?v=CMREUiQZSIs
To start, Volvo’s Vera will ferry goods from a logistics center to a port in Gothenburg, Sweden. But more Veras will eventually mean fewer trucking jobs.
A new study analyzed data from more than 750,000 adults in the United States, Europe and Australia, and found that recommended amounts of physical activity correlated with lower risks of seven types of cancer, of the 15 researchers looked at.
There are a slew of ways to interpret just what’s happening when you make an observation. The biggest myth of all is that you need one.
Lab-grown brain organoids developed from a patient’s own glioblastoma, the most aggressive and common form of brain cancer, may hold the answers on how to best treat it. A new study in Cell from researchers at Penn Medicine showed how glioblastoma organoids could serve as effective models to rapidly test personalized treatment strategies.
Glioblastoma multiforme (GBM) remains the most difficult of all brain cancers to study and treat, largely because of tumor heterogeneity. Treatment approaches, like surgery, radiation and chemotherapy, along with newer personalized cellular therapies, have proven to slow tumor growth and keep patients disease-free for some periods of time; however, a cure remains elusive.
“While we’ve made important strides in glioblastoma research, preclinical and clinical challenges persist, keeping us from getting closer to more effective treatments,” said senior author Hongjun Song, Ph.D., Perelman Professor of Neuroscience in the Perelman School of Medicine at the University of Pennsylvania. “One hurdle is the ability to recapitulate the tumor to not only better understand its complex characteristics, but also to determine what therapies post-surgery can fight it in a timelier manner.”
In this age of “big data,” artificial intelligence (AI) has become a valuable ally for scientists. Machine learning algorithms, for instance, are helping biologists make sense of the dizzying number of molecular signals that control how genes function. But as new algorithms are developed to analyze even more data, they also become more complex and more difficult to interpret. Quantitative biologists Justin B. Kinney and Ammar Tareen have a strategy to design advanced machine learning algorithms that are easier for biologists to understand.
The algorithms are a type of artificial neural network (ANN). Inspired by the way neurons connect and branch in the brain, ANNs are the computational foundations for advanced machine learning. And despite their name, ANNs are not exclusively used to study brains.
Biologists, like Tareen and Kinney, use ANNs to analyze data from an experimental method called a “massively parallel reporter assay” (MPRA) which investigates DNA. Using this data, quantitative biologists can make ANNs that predict which molecules control specific genes in a process called gene regulation.
It has taken twenty years of research, but the verdict is now in and scientists are saying that negative feelings, especially those of un-forgiveness can lead to the development of cancer.
Has anybody else notice the light spectrum in new imaging. Color equals light frequency. This should be a major study. This vid is just for the color imagings reference.
In this informative talk about brain health, Dr. Daniel G. Amen makes a powerful case for preventative living through healthy habits. In a time where bodies are expanding and brains are shrinking, he calls this game-changing lifestyle The Brain Warrior’s Way.
Continue reading “How Dr. Daniel Amen Repairs the Brain with Healthy Living” »
Even ordinary computers flip a bit here and there, but their quantum cousins have a lot more ways to go wrong.
As the power and qubits in quantum computing systems increase, so does the need for cutting-edge capabilities to ascertain that they work. The Army Research Office and National Security Agency recently teamed up to solicit proposals for research that can help do exactly that.
The entities launched a broad agency announcement this week to boost the development of innovative techniques and protocols that allow for Quantum Characterization, Verification, and Validation, or QCVV, of intermediate-scale quantum systems. QCVV is essentially the science of quantifying how well a quantum computer can run quantum algorithms—and experts agree that it’s a necessary step towards useful quantum computing.
