Researchers at Carnegie Mellon University have developed a new method that uses neural networks to analyze single cell RNA sequencing data, identifying key genes and cell subtypes. This approach enables the analysis of all cell types, providing a method for comparative analysis.
Researchers at Carnegie Mellon University developed a synthetic molecule that can recognize and bind to double-stranded DNA or RNA under normal physiological conditions. The Janus gamma PNAs have an extraordinarily high binding energy and can be designed to target genomic DNA for gene editing and transcriptional regulation.
Aryn Gittis, a Carnegie Mellon University neuroscientist, has been recognized for her creativity and originality in research. She discovered a class of neurons that restored movement in a mouse model for Parkinson's disease when targeted with optogenetics.
A new study predicts that rising temperatures will lead to a significant increase in Lyme disease cases in the United States. By mid-century, it is expected to rise by 21%, resulting in an additional 8.6 cases of Lyme disease per 100,000 people annually.
A study published in Scientific Reports found that 80% of tracked neurons were reliably activated by the same oriented lines throughout a two-week period. The researchers used two-photon microscopy to visualize hundreds of neurons and tested an extensive range of stimuli, including varying line thickness.
Researchers at Carnegie Mellon University developed two approaches to improve smart devices' understanding of their environment: Ubicoustics, which uses microphone-based sound recognition, and Vibrosight, a vibration-detection system using laser vibrometry. These methods enhance context-aware computing capabilities.
Carnegie Mellon University researchers identified a molecule called BriC that plays a key role in bacterial communication and infection. BriC helps pneumococcus produce biofilms, making infections more robust, but may also be a target to render bacteria more sensitive to antibiotic treatment.
Yongxin Zhao, assistant professor at Carnegie Mellon University, has received a National Institutes of Health (NIH) Director's New Innovator Award. He will use the grant to develop transformative nanoscale imaging techniques for analyzing complex diseases.
Researchers developed a new algorithm to search vast repositories of compounds produced by microbes, identifying over 5,000 promising unknown compounds that merit further investigation. The algorithm, called Dereplicator+, analyzes mass spectra data to eliminate known compounds and focus on potential new pharmaceuticals.
The Carnegie Mellon team will leverage its expertise in modularity to develop robots that can adapt to various environments, including small spaces and large structures. The team aims to create robots capable of rapid mapping, exploring, and exploiting complex underground environments.
The Human BioMolecular Atlas Program (HuBMAP) aims to create a 3D map of the human body showcasing how tissues differ on a cellular level. This will provide scientists with a deeper understanding of tissue organization, growth, and function, ultimately leading to disease prevention.
A study by Carnegie Mellon University researchers reveals that bacteria have retained the same 'password' for sporulation since its evolution 2.7 billion years ago. The discovery challenges traditional theories on evolution and highlights the persistence of ancient signaling networks in these organisms.
Dannie Durand aims to characterize similarities and differences in multidomain proteins across vertebrates and bacteria. The goal is to identify design rules for these modular proteins, enabling predictive models that link evolution and function.
Researchers at Carnegie Mellon University have developed a method to transform video content into another style, enabling applications like movie production and self-driving cars. The technique uses generative adversarial networks and incorporates temporal information to produce high-quality results.
A $3.8 million NIMH grant will support the development of a predictive model that uses machine learning techniques to identify neural signatures of suicidal ideation and behavior. This technology has the potential to improve clinicians' ability to detect and treat suicidal patients, reducing suicide risk among young adults in the US.
A study by Carnegie Mellon University and partners found that contacting customers' friends can help reduce churn rates by 1.3-1.9%. This approach leverages social networks to identify likely churners and offer personalized deals, increasing profits for the company.
Researchers at Carnegie Mellon University have developed a low-cost actuation technology that can bend, fold or flatten specially prepared paper on command. The technology uses a thin layer of conducting thermoplastic applied to common paper, which can be heated to expand and cause the paper to change shape.
Researchers at Carnegie Mellon University and DeepMotion Inc. developed a physics-based method for controlling animated characters to learn dribbling skills from motion capture data. The system requires millions of trials but produces arm movements closely coordinated with physically plausible ball movement.
The US is experiencing constraints on human capital in software and IT fields, driving multinational firms to establish R&D hubs abroad. This shift is expected to strengthen US-based firms through access to global talent.
Aryn Gittis' research establishes new therapeutic targets for Parkinson's therapies, using optogenetics to identify a subset of neurons in the globus pallidus that play a critical role in restoring movement. Her findings suggest targeting these cells could repair neural circuit dysfunction in diseases like Parkinson's.
A study published in Cell Reports found that a child's brain can reorganize its visual system after losing parts of the visual cortex. The child, UD, had nearly half of his right hemisphere removed due to epilepsy, but his brain compensated by using the intact left hemisphere for tasks like facial recognition and object analysis.
Researchers used a peptide nucleic acid-based gene editing technique to successfully cure a genetic condition in mice. The treatment corrected 6% of mutations and caused dramatic improvements in symptoms, suggesting a promising new approach for treating genetic disorders during early stages of development.
Researchers developed a new model for comparative genomic analysis, revealing differences in gene regulation between primate species. The Phylogenetic Hidden Markov Gaussian Processes model provides insights into what makes a human a human and has implications for understanding evolution and certain diseases.
Researchers have mapped the feeling of cool touch to the brain's insula in a mouse model, providing an experimental model for studying conditions like pain and hypersensitivity. The study found that the region was activated in mice with functional TrpM8 receptors, suggesting a highly specific response to cold exposure.
A new study identified genetic missense mutations that contribute to disease risk in individuals with autism spectrum disorder (ASD). The framework successfully prioritized these mutations, which are more likely to occur in autistic children than their siblings.
A study found that Arizona's Employment-Focused System, using E-verify, reduced unauthorized migration from Mexico. The researchers measured geographic migration patterns and found that communities in Mexico sending migrants to specific US destinations often came from different parts of Mexico.
A new study published in JAMA Pediatrics reveals that racial disparities in childhood suicide rates are age-related, with black children under 13 facing twice the risk as their white counterparts. The study analyzed data from 2001-2015 and found a significant age-related difference in suicide rates among black and white youth.
A new study by Carnegie Mellon University researchers found that exposure to lead in the air and topsoil is associated with lower fertility rates among US women and men. The study analyzed data from the 1970s to 2000s and found that reduced airborne lead levels boosted fertility, while higher levels of lead in soil decreased it.
Key findings highlight the need for rapid, well-coordinated responses to future outbreaks; effective communication with local communities is essential for ethically responsible research. The paper emphasizes the importance of sustained international support for health systems in low- and middle-income countries.
Researchers aim to create self-assessing robots that can predict, monitor, and judge their own performance. The goal is to enable robots to work more efficiently with human partners by identifying areas of improvement.
Bento browser eliminates 'tab overload' by storing each search session as a project workspace, keeping track of relevant parts of visited web pages. Users can identify useful pages, trash unhelpful ones, and pick up where they left off later.
Researchers at Carnegie Mellon University used an inexpensive 3D printer to produce self-folding plastic objects that can be heated to assume predetermined shapes. The process utilizes a common printing defect, warpage, which is typically considered a problem with these printers.
Researchers at Carnegie Mellon University created smart walls using conductive paint that can detect human touch, gestures, and appliance usage. The system operates in two modes: capacitive sensing and electromagnetic (EM) sensing, allowing for location tracking of devices and people.
A team of Carnegie Mellon University researchers has created a system that translates 3-D shapes into stitch-by-stitch instructions for computer-controlled knitting machines. The technology enables the production of customized, on-demand knitted garments with unique patterns and ornamentation.
A Carnegie Mellon University team has received a three-year grant to refine a custom EEG system that can identify early markers for worsening brain injuries. The team will use the high-density EEG to detect cortical spreading depolarizations, or brain tsunamis, which are biomarkers for worsening brain injuries.
Carnegie Mellon's RadPiper robots will identify uranium deposits on pipe walls at the U.S. Department of Energy's former uranium enrichment plant in Piketon, Ohio, saving tens of millions of dollars in completing characterization. The robot's use reduces hazards to workers and increases labor savings by an eight-to-one ratio.
The research team found that, when learning a new task, the brain operates under a more stringent set of constraints than originally thought, resulting in good short-term learning but suboptimal performance. The brain tends to repurpose existing neural activity patterns rather than generating entirely new ones.
Researchers developed an AI-powered tool to extract key information from online privacy policies, enabling users to easily navigate and understand data collection and use. The project's interactive website allows users to compare readability levels of popular websites' privacy policies.
Researchers at Carnegie Mellon University are part of a $10 million program to develop a new type of camera that can peer deep beneath the skin to diagnose and monitor various health conditions. The camera uses computational scatterography to make sense of scattered light, enabling noninvasive bio-optical imaging at a cellular scale.
A new study by Carnegie Mellon University researchers found that certain phishing strategies are more effective than others in deceiving victims. The study identified tactics like communicating failure, using an authoritative tone, and expressing a shared interest as successful approaches.
Researchers from Carnegie Mellon University have found that US power sector carbon dioxide emissions are on track to meet near-term targets under the Paris Agreement despite the Trump Administration's withdrawal of the Clean Power Plan. A strong link between natural gas prices and emission reductions has been identified, with declining...
Carnegie Mellon University's Rob Kass and Byron Yu will present on using statistical methods to understand brain function, including the development of brain-computer interfaces. The panel aims to explore the application of cutting-edge statistics in neuroscience.
Researchers at Carnegie Mellon University have created a conversational agent, Evorus, that can answer a wide range of questions using a human/machine hybrid system. The system, which combines crowd workers and AI, allows the agent to learn and improve over time, making it more accurate and effective in its responses.
A team of computer scientists developed an algorithm called VarQuest to rapidly search massive databases for new antibiotic variants, discovering over a thousand new variants.
CONIX Research Center aims to develop novel architectures for large-scale, distributed computing systems with implications for social interaction, smart buildings and infrastructure. The center will create a substrate for networked computing that connects edge devices to the cloud, enabling performance, security, and privacy guarantees.
Researchers at Carnegie Mellon University have developed a new dynamic statistical model to visualize changing patterns in networks, including gene expression during developmental periods of the brain. The model, Persistent Communities by Eigenvector Smoothing (PisCES), combines information across multiple networks over time to identif...
Researchers will study how social media affects news dissemination and develop algorithms to accurately predict the spread of information online. The project aims to improve official evacuation orders by filtering out inaccurate posts during disasters.
Carnegie Mellon University's Tom Mitchell and MIT's Erik Brynjolfsson describe 21 criteria for evaluating task amenable to machine learning. Skills people develop and investments businesses make will determine who thrives in ML-driven economy.
Libratus AI uses a three-pronged approach to master no-limit Texas Hold'em, breaking the game into computationally manageable parts and adjusting its strategy based on opponents' gameplay. The AI beat top pros in 20 days of competition, amassing over $1.8 million in chips.
A study published in The Economic Journal found that default choices significantly impacted subscription cancellations, with 99.8% of consumers opting out when the option was clear, but only 36.4% when action was required. Lower socioeconomic groups were less likely to actively cancel subscriptions.