Scientists have unveiled a synthetic cell capable of performing several life-like functions, marking a major milestone in modern biology. The breakthrough does not mean researchers have created life from scratch, but it does bring science closer to understanding how living systems emerge from simple chemical components. The artificial cell, known as \.
Category: biological
Ultrasound-based approach may reduce harmful inflammation and support joint healing
As an aging population experiences joint pain and inflammation at an all-time high, researchers at The University of Alabama in Huntsville (UAH), a part of The University of Alabama System, have published new findings suggesting continuous low-intensity ultrasound may help shift the body’s immune response from prolonged inflammation toward tissue repair, a discovery that could eventually contribute to novel treatments for joint injuries and post-traumatic osteoarthritis.
The study, published in Scientific Reports, was conducted by a multidisciplinary team of UAH researchers under the leadership of Dr. Anuradha Subramanian, a professor of chemical and materials engineering.
The work brought together biological experimentation conducted by Dr. Shahid Khan as part of his doctoral work with computational and statistical methods developed by Dr. Satyaki Roy, a professor of mathematical sciences, along with additional contributions from graduate student Owen Trippany.
Airborne AI spots underwater munitions in shallow seas with high precision
A new airborne imaging approach can reliably detect unexploded weapons that lie in shallow coastal waters and remain an ongoing hazard to public safety, marine ecosystems and infrastructure worldwide. By combining advanced multispectral sensing with artificial intelligence, the researchers were able to identify underwater munitions with high confidence, even when they are partially hidden by sediment, biological growth or debris.
Scientists at the University of Miami Rosenstiel School of Marine, Atmospheric, and Earth Science developed and tested the approach and published their findings in the April issue of Frontiers in Marine Science. The study demonstrates that integrating NASA underwater imaging technologies with machine learning enhances detection accuracy while reducing false positives in complex marine environments.
“Unexploded ordnance in shallow waters remains a serious global challenge,” said Ved Chirayath, Vetlesen Endowed Chair of Earth Sciences in the Department of Ocean Sciences, the study’s lead author. “Our results demonstrate a scalable, airborne solution that can help improve detection accuracy and support safer coastal environments.”
“Geometric Framework for Biological Evolution” by Vitaly Vanchurin
This is a ~1 hour 7 minute talk titled “Geometric Framework for Biological Evolution” by Vitaly Vanchurin (http://cosmos.phy.tufts.edu/~vitaly/) given to our Center (https://allencenter.tufts.edu).
Beyond 3D: Data scientists introduce novel AI tool to interpret complex biological data
As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess depth perception, and visually examine and enjoy all manner of objects and happenings.
But trying to envision subvisible structures and high-dimensional processes that our human-engineered scopes can’t capture is a challenge for data scientists and visualization experts, who turn to machine learning and AI tools to amplify visual exploration.
“Biological processes are an example of complex, high-dimensional data,” says Kevin Moon, director of USU’s Data Science and Artificial Intelligence (DSAI) Center and associate professor in the Department of Mathematics and Statistics.
Multifunctional Organic Materials, Devices, and Mechanisms for Neuroscience, Neuromorphic Computing, and Bioelectronics
Neuromorphic computing has the potential to overcome limitations of traditional silicon technology in machine learning tasks. Recent advancements in large crossbar arrays and silicon-based asynchronous spiking neural networks have led to promising neuromorphic systems. However, developing compact parallel computing technology for integrating artificial neural networks into traditional hardware remains a challenge. Organic computational materials offer affordable, biocompatible neuromorphic devices with exceptional adjustability and energy-efficient switching. Here, the review investigates the advancements made in the development of organic neuromorphic devices. This review explores resistive switching mechanisms such as interface-regulated filament growth, molecular-electronic dynamics, nanowire-confined filament growth, and vacancy-assisted ion migration, while proposing methodologies to enhance state retention and conductance adjustment. The survey examines the challenges faced in implementing low-power neuromorphic computing, e.g., reducing device size and improving switching time. The review analyses the potential of these materials in adjustable, flexible, and low-power consumption applications, viz. biohybrid spiking circuits interacting with biological systems, systems that respond to specific events, robotics, intelligent agents, neuromorphic computing, neuromorphic bioelectronics, neuroscience, and other applications, and prospects of this technology.
Keywords: Brain-inspired neuromorphic computing; Neuromorphic bioelectronics; Neuroscience; Organic materials; Resistive switching mechanisms.
© 2025. The Author(s).
This microbe turns into a cannibalistic ‘Hulk’
A newly discovered microbe is like a mini version of the Hulk.
Euplotes gigatrox is a single-celled protist that resembles an insect. It grazes on bacteria and other tiny microbes. Sometimes a small number of the protists balloon into “supergiants” more than twice their regular size. The huge cells cannibalize their smaller, genetically identical brethren. The triggers for the change aren’t entirely clear, but it tends to happen when there is plenty of food, researchers reported May 14 in the Proceedings of the National Academy of Sciences.
