Researchers have developed an mRNA cure for pre-eclampsia using a lipid nanoparticle, reducing maternal blood pressure and improving fetal health. The therapy, tested in pregnant mice, has shown promising results and is poised to move forward to human trials.
Researchers at Penn School of Engineering and Applied Science have developed a new method to refine ionizable lipids, key ingredients in lipid nanoparticles. This approach combines precision with rapid output, enabling safer and more effective mRNA vaccines and therapeutics.
PanoRadar leverages radio waves and AI to enable robots to navigate challenging environments like smoke-filled buildings or foggy roads with high resolution. The system combines measurements from all rotation angles to enhance imaging resolution, creating a dense array of virtual measurement points.
Researchers developed a new method for amorphizing indium selenide wires, requiring as little as one billion times less power density. The process resembles an avalanche and an earthquake, triggering rapid deformation and linking small areas into larger ones, potentially unlocking wider applications for phase-change memory technology.
Researchers found that X/Twitter's algorithm presents users with milder and less polarizing information than chronological timeline news. However, this has implications for the use of these platforms to find trustworthy news, as users question its credibility even when coming from legitimate sources.
A team of researchers at the University of Pennsylvania School of Engineering and Applied Science has confirmed that baseball's 'magic mud' works, providing the right mixture for spreading, gripping, and stickiness. The study also highlights the potential for natural materials like the mud to be used as sustainable lubricants.
Researchers have made breakthrough in developing artificial kidney tissue from scratch, which could reduce the need for dialysis and transplantation. The study discovered a potential governor of kidney growth, tiny mechanical stress waves, to understand how nature builds the organ.
Penn Engineering researchers found that certain features of AI-governed robots have security vulnerabilities, putting safety at risk. The 'jailbreak' rate of OpenAI's ChatGPT was 100% in just days, bypassing safety guardrails and allowing manipulation or hacking.
Researchers develop Knowledge-enhanced Bottlenecks (KnoBo) method to emulate human physicians' education, resulting in more accurate and interpretable AI models for medical image recognition. KnoBo-based models outperform existing best-in-class models on accuracy and robustness, especially in handling confounded data.
Researchers at Penn Engineering and PSOM will develop AI systems to predict treatment response in breast cancer, heart attacks, and sepsis. The goal is to support clinicians with accurate and transparent predictions, leading to better health outcomes for patients.
Researchers at the University of Pennsylvania have developed a new consensus complementarity control (C3) algorithm that allows robots to react to complex physical contact in real-time. The algorithm enables robots to control the motion of sliding objects, a challenging task previously thought to be impossible for autonomous robots.
A recent study explores the potential of AI in ophthalmology to detect elevated HbA1c levels, a marker for high blood sugar and cardiovascular disease. The research highlights the importance of developing trustworthy AI models and addressing challenges in clinical adoption.
Researchers at the University of Pennsylvania School of Engineering and Applied Science have discovered a novel means of directing lipid nanoparticles to target specific tissues. By incorporating siloxane composites into ionizable lipids, they were able to achieve tissue-specific delivery, particularly to the liver, lungs, and spleen.
Researchers discovered liquid crystals can form complex structures, including filaments and discs, similar to biological systems. These findings may lead to self-assembling materials and new ways to model cellular activity.
Researchers have identified dozens of potential new antibiotics in the human gut microbiome, with one candidate showing promise against multidrug-resistant infections. The discovery uses artificial intelligence to analyze vast amounts of biological data and mine the world's biological information as a source of antibiotics.
Researchers created a data set of over 10 million documents to test detection ability in current and future detectors. They found that most detectors only work well in specific use cases and can be easily evaded by manipulating the text. The new tool, RAID, aims to provide a standardized benchmark for robust detection.
A new study reveals that ChatGPT's automated content moderation filters can flag nearly 20% of its own generated scripts for content violations, including half of PG-rated shows. The research raises questions about the efficacy of using AI as a tool in scriptwriting and its potential impact on artistic expression.
A study by University of Pennsylvania researchers found that unflagged, factual content about COVID-19 vaccines is more damaging to public health than intentionally false or misleading information. Factual articles with sensational headlines and statistics can lower users' intentions to get vaccinated by 2.3 percentage points.
Researchers at Penn Engineering have developed an adjustable filter that can prevent interference and enable the use of higher-frequency bands in wireless communications. The filter, made from a unique material called yttrium iron garnet, is tiny and requires minimal power, making it suitable for future mobile devices.
Model disgorgement is a set of techniques that force generative models to remove content leading to copyright infringement or biased responses. Researchers propose this approach to address issues like stylistic infringement, where models reproduce copyrighted works in the style of famous artists.
Researchers created a system called Holodeck to generate interactive 3D environments, leveraging language models like ChatGPT to control it. The system outperformed earlier tools in evaluating realism and accuracy, with human evaluators preferring its outputs across various indoor environments.
Researchers found that neural networks use a similar path to chart their way from ignorance to truth when presented with images, despite varying network designs and training recipes. This commonality holds the potential for developing more efficient image classification algorithms, reducing the computational power required by AI systems.
Researchers developed a method using lipid nanoparticles to activate T cells and deliver genetic instructions in one step, simplifying the CAR T cell manufacturing process. This new approach reduces production time from 48 hours to 24 hours and increases accessibility to patients worldwide.
Researchers at the University of Pennsylvania have developed a new method to efficiently determine which lipid nanoparticles are likely to bind to the lungs, rather than the liver. This breakthrough enables targeted delivery of mRNA therapeutics beyond the liver, offering new hope for treatments of cystic fibrosis and lung cancer.
Researchers at the University of Pennsylvania School of Engineering and Applied Science have invented a new way to synthesize key components of lipid nanoparticles, simplifying their manufacture while boosting efficacy. The new method involves combining three chemicals to create branched lipidoids that promote mRNA delivery to target c...
Researchers at the University of Pennsylvania have developed a new silicon-photonic chip that can perform vector-matrix multiplication using light waves, allowing for accelerated AI computing. The chip's design has privacy advantages, as sensitive information can be processed simultaneously without being stored in memory.
Researchers have developed a new way to visualize the smallest protein clusters using CluMPS, a molecular tool that activates when target protein clusters are present. This technology promises to be a foundational advancement in detecting disease-causing protein clusters and understanding protein functioning.
Researchers at the University of Pennsylvania have grown a high-performing 2D semiconductor, indium selenide (InSe), to industrial-scale wafers. The team's success hinged on a growth technique that overcame InSe's atomic structure quirks, producing a material with uniform chemical and crystalline properties.
Scientists have discovered that small fat-filled lipid droplets can indent and puncture a cell's nucleus, leading to elevated DNA damage. This finding has significant implications for various diseases, including cancer.
Researchers at the University of Pennsylvania School of Engineering and Applied Science have discovered dozens of small protein sequences with antibiotic qualities in extinct organisms like Neanderthals and Denisovans. They then synthesized these molecules using artificial intelligence and tested their efficacy against pathogens.
A new FE-FET design demonstrates record-breaking performances in computing and memory, achieving large memory window with impressively small device dimensions. The combination of molybdenum disulfide and aluminum scandium nitride materials enables energy-efficient devices for both computing and non-volatile memory applications.
Researchers have developed biomaterials that contain a 'living-like' system, capable of detecting pathogens and monitoring air quality. These materials are designed to interact with air, making them potential sensors for healthy indoor environments.
Researchers have created an RNA nanoparticle therapy that disables the pathways through which multiple myeloma cells travel, stopping their spread. The therapy targets the microenvironment of the cancer and prevents the production of a protein that attracts cancer cells to blood vessels.
Researchers at the University of Pennsylvania School of Engineering and Applied Science have developed a new therapy that uses engineered macrophages to eliminate solid tumors. The treatment works by silencing a molecular pathway that prevents white blood cells from attacking cancer cells, allowing them to recognize and destroy tumoroids.
Researchers at the University of Pennsylvania School of Engineering and Applied Science have created a photonic device that provides programmable on-chip information processing without lithography. This breakthrough enables superior accuracy and flexibility for AI applications, overcoming limitations of traditional electronic systems.
Computer scientists designed a reconstruction attack that proves US Census data can be exposed and stolen with current privacy measures. The study demonstrates risks to individual respondents' privacy, highlighting the need for differential privacy techniques to protect sensitive information.
Targeted RNA therapy aims to treat pre-eclampsia by delivering mRNA to placental cells, reducing maternal blood pressure and restoring fetal circulation. The treatment has shown promising results in mice, paving the way for potential treatments for human patients.
Researchers developed a novel approach to ionizable lipid synthesis for RNA therapy, targeting activated liver-resident fibroblasts with selective siRNA delivery. The treatment, shown to be successful in mice, stops fibrosis in its tracks by silencing Heat Shock Protein 47 and inhibiting collagen production.
Engineers create OCTOPUS device to grow organs-in-a-dish, achieving higher levels of maturity than traditional methods. The device allows for more mature organs with complex cell relationships, providing valuable tools for studying human organ development.
A team of researchers from the University of Pennsylvania has developed a new algorithm, metadynamics, that can navigate high-dimensional energy landscapes to find low-energy configurations. This breakthrough has the potential to revolutionize fields such as protein folding and machine learning.
Researchers at University of Pennsylvania School of Engineering and Applied Science developed a new electrostatically controlled clutch that enables soft robotic hands to hold 4 pounds, 40 times more than before. The clutch uses a fracture-mechanics-based model to achieve this feat while requiring only 125 volts of electricity.