Toggle light / dark theme

Researchers used machine learning to optimize the process by which a tiny cage is opened to release a molecule.

Researchers have designed a tiny structure that could help deliver drugs inside the body [1]. The theoretical and computational work required machine learning to optimize the parameters for the structure, which could stick to a closed shell containing a small molecule and cause the shell to open. The results demonstrate the potential for machine learning to assist in the development of artificial systems that can perform complex biomolecular processes.

Researchers are developing artificial molecular-scale structures that could perform functions such as drug delivery or gene editing. Creating such artificial systems, however, usually entails a frustrating tradeoff. If the components are simple enough to be computationally tractable, they are unlikely to yield complex interactions. But if the components are too complex, they become harder to combine and coordinate. Machine learning can reduce the computational cost of designing useful artificial systems, according to graduate student Ryan Krueger of Harvard University.

Oxford University researchers have made a significant step toward realizing a form of “biological electricity” that could be used in a variety of bioengineering and biomedical applications, including communication with living human cells. The work was published on 28 November in the journal Science.

Iontronic devices are one of the most rapidly-growing and exciting areas in biochemical engineering. Instead of using electricity, these mimic the by transmitting information via ions (charged particles), including sodium, potassium, and .

Ultimately, iontronic devices could enable biocompatible, energy-efficient, and highly precise signaling systems, including for drug-delivery.

Can you pass me the whatchamacallit? It’s right over there next to the thingamajig.

Many of us will experience “lethologica”, or difficulty finding words, in everyday life. And it usually becomes more prominent with age.

Frequent difficulty finding the right word can signal changes in the brain consistent with the early (“preclinical”) stages of Alzheimer’s disease – before more obvious symptoms emerge.

Working with week-old zebrafish larva, researchers at Weill Cornell Medicine and colleagues decoded how the connections formed by a network of neurons in the brainstem guide the fishes’ gaze.

The study, published Nov. 22 in Nature Neuroscience, found that a simplified artificial circuit, based on the architecture of this neuronal system, can predict activity in the network. In addition to shedding light on how the brain handles short-term memory, the findings could lead to novel approaches for treating eye movement disorders.

Organisms are constantly taking in an array of sensory information about the environment that is changing from one moment to the next. To accurately assess a situation, the brain must retain these informational nuggets long enough to use them to form a complete picture—for instance, linking together the words in a sentence or allowing an animal to keep its eyes directed to an area of interest.

Memorial Sloan Kettering Cancer Center-led researchers have identified a small molecule called gliocidin that kills glioblastoma cells without damaging healthy cells, potentially offering a new therapeutic avenue for this aggressive brain tumor.

Glioblastoma remains one of the most lethal primary brain tumors, with current therapies failing to significantly improve patient survival rates. Glioblastoma is difficult to treat for several reasons. The tumor consists of many different types of cells, making it difficult for treatments to target them all effectively.

There are few genetic changes in the cancer for drugs to target, and the tumor creates an environment that weakens the body’s immune response against it. Even getting medications near targets in the brain is challenging because the protective blocks entry for most potential drug treatments.

Researchers at University of California San Diego analyzed the genomes of hundreds of malaria parasites to determine which genetic variants are most likely to confer drug resistance.

The findings, published in Science, could help scientists use machine learning to predict antimalarial and more effectively prioritize the most promising experimental treatments for further development. The approach could also help predict treatment resistance in other , and even cancer.

“A lot of drug resistance research can only look at one chemical agent at a time, but what we’ve been able to do here is create a roadmap for understanding antimalaria drug resistance across more than a hundred different compounds,” said Elizabeth Winzeler, Ph.D., a professor at UC San Diego Skaggs School of Pharmacy and Pharmaceutical Sciences and the Department of Pediatrics at UC San Diego School of Medicine.

Free ebook #freeisgood — 50th Anniversary Edition ~ Thomas S. Kuhn.

Pdf…


“One of the most influential books of the 20th century,” the landmark study in the history of science with a new introduction by philosopher Ian Hacking (Guardian, UK).First published in 1962, Thomas Kuhn’s The Structure of Scientific Revolutions” reshaped our understanding of the scientific enterprise and human inquiry in general.” In it, he challenged long-standing assumptions about scientific progress, arguing that transformative ideas don’t arise from the gradual process of experimentation and data accumulation, but instead occur outside of “normal science.” Though Kuhn was writing when physics ruled the sciences, his ideas on how scientific revolutions bring order to the anomalies that amass over time in research experiments are still instructive in today’s biotech age (Science).

Australian researchers have created building blocks out of DNA to construct a series of nano-scale objects and shapes, from a rod and a square to an infinitesimally small dinosaur.

The approach turns DNA into a modular material for building nanostructures – thousands of times narrower than a human hair. Developed by researchers from the University of Sydney Nano Institute and published in the journal Science Robotics, it suggests exciting possibilities for future use of nanobot technology.

▶️ Visit https://brilliant.org/NewMind to get a 30-day free trial + 20% off your annual subscription.

This video explores fascinating engineering solutions hiding in plain sight — ingenious designs that solve complex problems through elegant simplicity. From shoes that expand when stretched to windshields with hidden patterns, discover how everyday objects incorporate remarkable engineering innovations.

AUXETICS
These metamaterials that defy conventional physics by getting thicker when stretched. Follow their evolution from theoretical designs in 1978 to modern applications in athletic footwear and medical devices, and discover how precise geometric patterns create extraordinary properties that could revolutionize everything from prosthetics to architecture, despite challenging manufacturing requirements.

WINDSHIELD DOTS