Researchers developed an AI platform, PeptiVerse, to predict key properties of peptides, enabling early assessment of drug potential. The open-source platform allows users to evaluate ordinary and chemically modified peptides, streamlining the discovery process.
Researchers at the University of Pennsylvania and Chinese University of Hong Kong created TD3B, an AI framework guiding peptide generation toward candidates predicted to have a desired effect. The tool predicts binding likelihood and determines activation or deactivation of associated cellular machinery.
Researchers from Penn, NYU, and the Linguistic Data Consortium create virtual patients with adjustable psychiatric symptoms to simulate real-world conversations. The STELLAR platform aims to augment clinician training practices with essential conversation scenarios.
Researchers found that sea stars' skeletons contain specialized mineral structures capable of guiding and concentrating light, providing both mechanical support and optical sensing. The discovery may inspire future engineering materials with multifunctional capabilities.
FireANTs, an open-source algorithm, combines AI optimization and geometry to quickly match complex medical images. The new method can accomplish what took weeks in minutes, detecting subtle changes that signal disease or cognitive decline, making it practical for clinical practice.
A new study found that AI-powered chatbots can make vaccine-hesitant parents more likely to say they will immunize their children against HPV, but no more than standard written public health materials. Additionally, the effects of the chatbots did not last longer than those of government health materials.
Researchers developed ApexGO, an AI-powered method to turn weak antibiotic candidates into more potent ones. The tool uses generative AI and Bayesian optimization to guide molecular tweaks, predicting which changes are likely to increase antimicrobial activity.
Researchers developed a new framework, 'Mollifier Layers,' to tackle challenging inverse PDEs. This advance could benefit fields such as genetics and weather forecasting by inferring hidden forces that produce observable patterns.
Researchers emphasize the need for more thorough frameworks to ensure AI-enabled robots embody human values. The field should focus on three complementary lines of defense: rules that shape robot decisions, checks that monitor behavior, and safety reasoning.
Researchers have developed SmartDJ, an AI-powered editor that allows users to reshape audio experiences with simple words. The system uses language models and diffusion models to interpret high-level requests and generate edited outputs.
Researchers at the University of Pennsylvania have designed a tiny robot that uses a knotted fiber to store energy, which is released when heated. The robot can leap meters into the air, flip mid-flight, and even plant seeds with high local pressure.
Researchers identified patient-reported symptoms associated with GLP-1s, including menstrual changes, fatigue, and temperature-related complaints, that may not be fully captured in clinical trials or drug labeling. Nearly 4% of Reddit users reported reproductive symptoms, and fatigue was the second most common complaint.
Researchers redesigned a key component of lipid nanoparticles to steer particles toward lymph nodes, reducing off-target delivery. This advancement could make mRNA vaccines more efficient, potentially achieving strong immune protection at lower doses.
Researchers have shown that topology can guide multiple, information-carrying light signals through chip-based photonic communication systems, making them more powerful and reliable. This breakthrough could enable the creation of networks of chips that communicate using light while taking advantage of topology's robustness.
Researchers at the University of Pennsylvania developed lipid nanoparticles that modify immune metabolism to strengthen mRNA vaccines and reduce common side effects. The new lipid boosts the metabolism of immune cells, providing energy for the body's defenses while dialing down inflammatory signals.
Engineers at the University of Pennsylvania have developed LIBRIS, an automated microfluidic platform capable of generating lipid nanoparticle formulations at high speed and scale. This enables the creation of large, systematic datasets needed to train predictive AI models, accelerating the design of lipid nanoparticles for mRNA delivery.
Engineers have refined a technology to edit individual genetic base pairs, reducing unintended edits and increasing safety for potential treatments. The new base editors could lead to better outcomes for some cystic fibrosis patients and more accurate models for drug testing.
Researchers at the University of Pennsylvania have developed HoloRadar, a system that enables robots to reconstruct hidden 3D spaces beyond their line of sight using radio waves processed by AI. This capability can improve safety and performance in driverless cars and cluttered indoor settings.
Researchers have developed a passive, solar-powered orbital data center that can scale AI computing and reduce environmental impact. The system leverages decades of research on 'tethers' and could host thousands of computing nodes to replicate terrestrial data centers.
Engineers at the University of Pennsylvania have discovered that foams exhibit internal motion resembling deep learning in AI systems. The study suggests a common mathematical principle underlying both foams and AI training, with implications for designing adaptive materials and understanding biological structures.
Researchers have launched a new multimodal medical dataset, Observer, capturing anonymized, real-time interactions between patients and clinicians. The dataset links video, audio, transcripts, and electronic health records to study subtleties like body language and environmental factors affecting care.
Researchers at Penn and UMich created microscopic swimming machines that can independently sense and respond to their surroundings, operate for months, and cost just a penny each. The robots are powered by light and can be programmed to move in complex patterns, sense local temperatures, and adjust their paths accordingly.
A soft coral's ability to stiffen its skeleton in response to danger has been studied by Penn Engineers, revealing a mechanism known as granular jamming. By compacting mineral particles and expelling water, the coral's tissues create a rigid structure that can withstand external forces.
Scientists have characterized lipid nanoparticles' internal shape and structure, which correlates with how well they deliver therapeutic cargo. The research provides a blueprint for engineering more effective RNA therapies by matching LNP designs to specific therapies and tissues.
A new mathematical framework, STIV, can predict larger-scale effects like proteins unfolding and crystals forming without costly simulations or experiments. The framework solves a 40-year-old problem in phase-field modeling, allowing for the design of smarter medicines and materials.
Researchers developed AI-powered BlinkWise glasses that track blinking patterns to assess fatigue, mental workload, and eye-related health issues. The device uses radio signals to detect minute eyelid movements with unprecedented detail, preserving privacy and using minimal power.
The study highlights connections between tumor mechanics and extracellular vesicles, which may not be as different as they seem. Researchers are now investigating the interplay between mechanics and messaging in cancer progression.
Penn Engineering researchers used a technique called photochemical cross-linking to stiffen lung tissue, revealing changes in cell behavior that may drive fibrosis. The team observed transitional cells caught in an identity crisis, unable to perform either role well, which contributed to disease progression.
Researchers at Penn Engineering introduced AMP-Diffusion, a generative AI tool that designed tens of thousands of new antimicrobial peptides with bacteria-killing potential. The most potent AMPs performed as well as FDA-approved drugs without detectable adverse effects.
The team's integrated chip coordinates quantum and classical data, speaks the same language as the modern web, and automatically corrects for noise. The approach paves the way for a future 'quantum internet,' which could enable advances like faster AI and new materials.
Researchers at the University of Pennsylvania used AI to identify previously unknown compounds in Archaea that could fuel the development of next-generation antibiotics. The study, published in Nature Microbiology, found that 93% of the identified archaeasins demonstrated antimicrobial activity against drug-resistant bacteria.
Researchers at University of Pennsylvania discover red blood cells contribute to clot contraction, shrinking and stabilizing blood clots. The finding opens door to new strategies for studying and treating clotting disorders, such as excessive bleeding or dangerous clots like those seen in strokes.
Researchers developed CoSyn, a new approach to train open-source models using AI-generated scientific figures and charts. The resulting dataset, CoSyn-400K, includes over 400,000 synthetic images and 2.7 million sets of corresponding instructions. CoSyn-trained models match or outperform proprietary peers in various benchmark tests.
Researchers at the University of Pennsylvania designed a new recipe for mRNA vaccines by adding phenol groups, which reduce inflammation and improve vaccine effectiveness. The modified lipids improved vaccine performance in various diseases, including COVID-19, cancer, and genetic diseases, with enhanced efficacy and reduced side effects.
Researchers developed a theoretical model that accurately describes the relationship between mechanical stress and chemical reactions, resolving discrepancies in previous studies. The new model helps predict mechanochemical reactions, promising for greener manufacturing and lubricant design.
Researchers use a combination of materials science and human genetics to map out the properties of enamel and dentin development in mouse incisors. Their methodology has the potential to provide new insights into identifying and treating rare craniofacial diseases and common dental cavities.
Scientists are working on a genetic cure for the world's most common inherited heart disease, hypertrophic cardiomyopathy (HCM), with a new gene editing tool. The team aims to correct mutations that cause the disease, which affects 14 million people worldwide.
Researchers at the University of Pennsylvania School of Engineering and Applied Science have turned a deadly fungus into a potent cancer-fighting compound. The new compound, called asperigimycins, has shown promising results against leukemia cells, rivaling FDA-approved drugs.
Researchers have developed a material that can collect moisture from the air and release it onto surfaces without external energy input. The material works through capillary condensation, where water vapor condenses inside tiny pores at lower humidity levels, creating a feedback loop of water harvesting.
Researchers have created a breakthrough photonic chip that can train nonlinear neural networks using light, accelerating AI training while reducing energy use. The chip uses a special semiconductor material to reshape how light behaves, enabling reconfigurable systems with wide mathematical function expression.
Researchers at the University of Pennsylvania School of Engineering and Applied Science have discovered a new class of antibiotics derived from frog secretions, which show promise in targeting harmful bacteria without affecting human cells or beneficial gut bacteria. The synthetic peptides were developed using structure-guided design a...
Engineers at the University of Pennsylvania and Aarhus University found that introducing just the right amount of disorder can increase the toughness of certain materials by 2.6 times. This discovery opens up new possibilities for widespread use of so-called mechanical metamaterials.
Researchers at the University of Pennsylvania School of Engineering and Applied Science have developed a platform that emulates human marrow's native environment. The device, called a bone marrow-on-a-chip, generates functional human blood cells and models the immune system's response to infections, paving the way for advanced drug dev...
Researchers develop BEND lipids to improve LNP mRNA delivery and gene editing by breaking through the endosomal membrane. The new lipids outperform existing LNPs used in COVID-19 vaccines, with improved efficacy rates up to tenfold.
Researchers created a framework to determine the best vaccination strategy for communities with individuals of different risk levels. The framework prioritizes vaccination efforts for high-risk groups, such as the elderly and immunocompromised, or high-contact groups, like essential workers, over baseline populations.
Researchers have developed a new genetic engineering tool, mvGPT, that can precisely edit genes, activate gene expression, and repress genes all at the same time. The technology has shown promise in treating genetic diseases such as Wilson's disease and type I diabetes by targeting multiple genetic conditions simultaneously.
Researchers at the University of Pennsylvania School of Engineering and Applied Science have developed a novel photonic switch that can redirect signals in trillionths of a second with minimal power consumption. The new switch uses non-Hermitian physics and silicon material to achieve unprecedented speed and efficiency.
Researchers have developed a new quantum sensing technology that can detect individual nuclei, revealing tiny differences in molecular structure and dynamics. This unprecedented sensitivity enables scientists to study the building blocks of nature at an entirely new scale, leading to breakthroughs in fields like drug development.
Researchers from the University of Pennsylvania School of Engineering and Applied Science have discovered a previously unreported enzyme that catalyzes the creation of cyclopentachromone-containing compounds. This breakthrough could potentially lead to the development of new pharmaceuticals for treating cancer and inflammation.
Researchers have developed peptide-guided nanoparticles that can target specific cells in the brain, including neurons, marking a significant step toward potential mRNA treatments for neurological diseases. The innovation uses peptides to precisely deliver mRNA to endothelial cells lining blood vessels and neurons.