Cancer, caused by abnormal overgrowth of cells, is the second-leading cause of death in the world. Researchers from the Salk Institute have zeroed in on specific mechanisms that activate oncogenes, which are altered genes that can cause normal cells to become cancer cells.
Cancer can be caused by genetic mutations, yet the impact of specific types such as structural variants that break and rejoin DNA, can vary widely. The findings, published in Nature on December 7, 2022, show that the activity of those mutations depends on the distance between a particular gene and the sequences that regulate the gene, as well as on the level of activity of the regulatory sequences involved.
This work advances the ability to predict and interpret which genetic mutations found in cancer genomes are causing the disease.
Combustion engines, propellers, and hydraulic pumps are examples of fluidic devices—instruments that utilize fluids to perform certain functions, such as generating power or transporting water.
Because fluidic devices are so complex, they are typically developed by experienced engineers who manually design, prototype, and test each apparatus through an iterative process that is expensive, time-consuming, and labor-intensive. But with a new system, users only need to specify the locations and speeds at which fluid enters and exits the device. The computational pipeline then automatically generates an optimal design that achieves those objectives.
The system could make it faster and cheaper to design fluidic devices for all sorts of applications, such as microfluidic labs-on-a-chip that can diagnose disease from a few drops of blood or artificial hearts that could save the lives of transplant patients.
Latent diffusion models (LDMs), a subclass of denoising diffusion models, have recently acquired prominence because they make generating images with high fidelity, diversity, and resolution possible. These models enable fine-grained control of the image production process at inference time (e.g., by utilizing text prompts) when combined with a conditioning mechanism. Large, multi-modal datasets like LAION5B, which contain billions of real image-text pairs, are frequently used to train such models. Given the proper pre-training, LDMs can be used for many downstream activities and are sometimes referred to as foundation models (FM).
LDMs can be deployed to end users more easily because their denoising process operates in a relatively low-dimensional latent space and requires only modest hardware resources. As a result of these models’ exceptional generating capabilities, high-fidelity synthetic datasets can be produced and added to conventional supervised machine learning pipelines in situations where training data is scarce. This offers a potential solution to the shortage of carefully curated, highly annotated medical imaging datasets. Such datasets require disciplined preparation and considerable work from skilled medical professionals who can decipher minor but semantically significant visual elements.
Despite the shortage of sizable, carefully maintained, publicly accessible medical imaging datasets, a text-based radiology report often thoroughly explains the pertinent medical data contained in the imaging tests. This “byproduct” of medical decision-making can be used to extract labels that can be used for downstream activities automatically. However, it still demands a more limited problem formulation than might otherwise be possible to describe in natural human language. By prompting pertinent medical terms or concepts of interest, pre-trained text conditional LDMs could be used to synthesize synthetic medical imaging data intuitively.
Mitochondria, bioenergetics, information and electric fields: implications for repair and regeneration. Professor Michael Levin, Allen Discovery Centre, Tufts University. Professor Wayne Frasch, Biomedicine and Biotechnology faculty group, Arizona State University. The Guy Foundation Autumn Series 2022.
The symptoms of severe obsessive-compulsive disorder, or OCD as it is more popularly known, may be reduced by half with deep brain stimulation, according to a pooled data analysis of the available data, which was recently published in the Journal of Neurology, Neurosurgery, & Psychiatry.
According to the research, two-thirds of individuals who were affected saw a significant improvement after two years.
OCD is characterized by intrusive and persistent obsessive thoughts, as well as dysfunctional and ritualized behaviors. It is estimated that up to 3% of the population is affected by it.
He suffered both physical and mental long-term side effects.
In April of 2006, doctors from London University revealed a case study of what they believed at the time was the largest amount of ecstasy ever consumed by a single person. They published a case report of a British man named only Mr. A estimated to have taken around 40,000 pills of MDMA over nine years, the most amount known to anyone.
They reported that the man then suffered from prominent physical and mental health side effects, such as extreme memory problems, paranoia, hallucinations and depression, as well as painful muscle rigidity around his neck and jaw, which often prevented him from opening his mouth.
Fpm/iStock.
Now, a new interview with the British style magazine The Face has surfaced where Dr. Christos Kouimtsidis, a psychiatrist who coauthored the case study, explains why the man’s story is still so fascinating after all these years.
Researchers use the device to study heart attacks and hope to test new heart medications.
Researchers have developed a device that can mimic aspects of a heart attack with hopes of using the device to test and develop novel heart medications. The research team, from the University of Southern California Alfred E. Mann Department of Biomedical Engineering in the U.S., created the tool, which they call a “heart attack on a chip.”
The study was published in the journal Science Advances.
Understanding a heart attack through simulation
The device can simulate key components of a heart attack, also called a myocardial infarction, in a practical, structured system. Researchers hope it will one day serve as a place to test for new heart drugs.
“This enables us to more clearly understand how the heart is changing after a heart attack. From there, we and others can develop and test drugs that will be most effective for limiting the further degradation of heart tissue that can occur after a heart attack,” said Megan McCain, an associate professor of biomedical engineering and stem cell biology and regenerative medicine. She also developed the device with postdoctoral researcher Megan Rexius-Hall.
For millennia, humans have been harnessing #microbes to produce everything from breads, to cheeses, to alcohol. Now these tiny organisms have produced another powerful revolution — the gene editing tool CRISPR. Rodolphe Barrangou, Ph.D., was working at the food company Danisco, where he was trying to produce yogurt lines resistant to contamination. In a series of groundbreaking experiments, he helped uncover what CRISPR was, how it worked, and why it could be so transformative.
Speaker Biography: Rodolphe Barrangou, Ph.D., studies beneficial microbes, focusing on the occurrence and diversity of lactic acid bacteria in fermented foods and as probiotics. Using functional genomics, he has focused on uncovering the genetic basis for health-promoting traits, including the ability to uptake and catabolize non-digestible carbohydrates. He spent 9 years at Danisco-DuPont, characterizing probiotics and starter cultures, and established the functional role of CRISPR-Cas as adaptive immune systems in bacteria. At NC State, he continues to study the molecular basis for their mechanism of action, as well as developing and applying CRISPR-based technologies for genotyping, building immunity and genome editing.
Producers: Sarah Goodwin, Rebecca Ellsworth. Cinematographer: Derek Reich. Editor: Rebecca Ellsworth\ Graphics: Chris George, Maggie Hubbard. Assistant Camera: Gray McClamrock. Drone aerials: Travis Jack. Supervising Editor: Regina Sobel. Field Producer: Meredith DeSalazar. Interview by: Adam Bolt. Associate Producer: Shelley Elizabeth Carter. Executive Producers: Shannon Behrman, Sarah Goodwin, Elliot Kirschner.
