Articles tagged with Biological Models
Researchers at Linköping University developed an AI-based method applicable to various medical and biological issues, accurately estimating people's chronological age and determining smoking status. The models identify previously known epigenetic markers used in other models, but also new markers associated with conditions.
Cilia synchronize their beating pattern by leveraging the fluid surrounding them and the border region. This observation reveals that border regions play a critical role in self-organization of living matter, similar to macroscopic mechanisms.
Insilico Medicine has identified 9 potential dual-purpose targets against aging and 14 major age-related diseases using Microsoft BioGPT. The proposed genes include CCR5 and PTH, which have not been previously correlated to the aging process.
A recent study published in Radiology: Artificial Intelligence found significant racial and sex-related biases in an AI chest X-ray foundation model, affecting its performance across patient subgroups. The researchers highlighted the need for comprehensive bias analysis to ensure diversity and representativeness in dataset collection.
Veterinary researchers used 3D organoids to investigate lung cancer in dogs, finding that canine primary lung cancer organoids faithfully mirrored tumor tissues. The study identified correlations between organoid cell viability and specific target molecules, paving the way for personalized treatment approaches.
A new Michigan State University and Corewell Health research found that in-home prenatal services can significantly reduce the risk of premature births and infant deaths. Pregnant individuals receiving enhanced prenatal care saw a 57% reduced risk, while expectant Black mothers experienced an even greater reduction.
Associate Professor Tadashi Ando from Tokyo University of Science conducted a study to test the performance of OPC and OPC3 water models, evaluating their shear viscosities and comparing values to experimental calculations. The calculated viscosities for both models were very close, with notable accuracy at temperatures above 310 K.
Scientists developed computational eye models to help patients and surgeons select ideal intraocular lenses and predict visual outcomes. The technology uses anatomical information of the patient's eye to provide guidance on expected optical quality post-operatively.
The UMass Amherst-UT Austin team has been awarded $27.5 million by the CDC to establish the nation's first disease outbreak response and modeling network. The $250 million program will support decision makers during public health emergencies like COVID-19.
The CDC has awarded a coalition led by UC San Diego researchers $17.5 million to develop innovative tools and networks for rapid response to emerging disease outbreaks. The project aims to integrate forecasting and analytic approaches with data to inform public health decisions.
By 2070, 44.61% of koala habitats in Australia will be highly susceptible to bushfires, up from 39.56% today. Koalas may struggle to survive due to habitat fragmentation and food source vulnerability.
The collaboration has garnered $5.68 million of grant support, with a five-year $2.13 million National Institutes of Health R01 grant and a five-year $2.89 million NIH R01 grant. Researchers are using computational biology to model a key Alzheimer's protein called TREM2 and its interactions with small chemical molecules.
Researchers analyzed data from the Global Biodiversity Information Facility and found a universal pattern of species abundance distributions, with most species being rare but not extremely rare. The study's findings may help answer Darwin's question about why some species are common while others are rare.
A team of researchers at the University of Waterloo and Dalhousie University have developed a method for forecasting short-term disease progression using limited data. The Sparsity and Delay Embedding-based Forecasting model, or SPADE4, uses machine learning to predict epidemic progressions with high accuracy.
A new study by the University of Oldenburg team confirms that radio waves in the VHF range above 116MHz have no impact on migratory birds' magnetic compass sense. This discovery debunks previous theories suggesting mobile communication networks affect the birds' navigation.
A new study found that voluntary collective isolation alone was ineffective in preventing the spread of COVID-19 among the Amazonian Tsimané. The researchers used a computer model and serological testing to confirm their predictions, showing nearly identical infection rates across communities.
Researchers at City of Hope have identified new molecular targets on a cell receptor that play a major role in cardiovascular regulation. The findings could lead to improved drugs for heart disease, an unfortunate side effect of some cancer therapies.
Researchers from Osaka University have shed light on how certain proteins contribute to the formation of piRNAs, a type of RNA that protects the genome. Tejas plays a key role in recruiting Vas and Spn-E, facilitating nuage formation and piRNA processing.
Researchers found that clinical strains of Aspergillus fumigatus differ significantly from environmental strains in amino acid synthesis. The fungus appears to shape the lung microbiome to its advantage, surviving on vital metabolites produced by other microorganisms.
A team of scientists has successfully elucidated the structure and function of LITE-1, a biomolecule used by Caenorhabditis elegans to detect danger. The researchers used artificial intelligence to predict the structure of LITE-1, which is a channel protein that forms a pore in the cell membrane allowing charged particles to pass through.
Researchers have identified KIAA0930 as a key factor causing muscle atrophy in cancer cells, which could lead to the development of new anti-cachexia therapies. The study found that KIAA0930 knockdown cells showed increased muscle mass and weight compared to control cells.
GOBI overcomes model-free and model-based inference method limitations by introducing an easily testable condition for a general monotonic ODE model to reproduce time-series data. It successfully infers positive and negative regulations in various networks, distinguishing between direct and indirect causation.
A study by Kyoto University found that Daphnia's phenotypic plasticity is strongly related to its body size and the type of predator. Medium-sized Daphnia are more vulnerable to predation by both Chaoborus larvae and fish, which prefer larger prey.
The Save Our Seas Foundation's World of Sharks website now features interactive 3D models of white sharks and manta rays, enabling users to explore shark physiology and evolution in an engaging way. The 3D models are open-access and free to view and download for non-profit use.
A recent study led by McGill University estimates that the European Union will face significant economic losses due to biological invasions, with costs projected to reach over €142.73 billion by 2040. The study highlights the need for effective management and collaboration to address this threat.
A team of researchers from Kyoto University and international institutions has developed a mathematical solution to the temporal asymmetry of nonequilibrium disordered Ising networks. This breakthrough offers insights into the behavior of biological systems, machine learning, and AI tools.
Researchers have developed a new technique to generically treat several kinds of cancer, showing tumors grew almost three times less and survival rates reached 100% after just one injection. The method targets cancer cells with alpha radiation, sparing healthy tissue.
Researchers, led by Elizabeth King, aim to develop a knowledge base on complex genetic traits using fruit fly models. The project seeks to address the scientific knowledge gap in this field by focusing on interconnectedness among multiple factors.
Biomedical engineers at UTS have developed an intervertebral disc-on-a-chip, a precision-engineered toolbox for low back pain studies. The device simulates the complex mechanobiology of native tissue, enabling accurate evaluation of experimental methods for treatment or regeneration.
Researchers designed and tested textile fibers that can change shape and generate force like a muscle, showing promise for use as cell scaffolds. The findings suggest the fibers could be used to develop 3D models of living, moving systems in the human body.
Porphyrinic metal-organic frameworks (PMOFs) have been synthesized using various methods, including solvothermal synthesis. The native biocompatible properties of porphyrins endow PMOFs with great potential in biological applications. Several possible frameworks can be formed with a large scale of metal ions.
A new model for disease transmission takes into account the effects of social dynamics and social norms on behaviors such as mask-wearing. The study found that small changes in certain factors can lead to large changes in disease spread rates, creating distinct infection waves. Social conformity creates a 'stickiness' where individuals...
Researchers have developed a new method called EvoAug that uses artificial DNA sequences inspired by evolution to train deep neural networks for genome analysis. This approach enables the model to recognize regulatory motifs more accurately, leading to better performance and potential breakthroughs in understanding human health.
Researchers developed machine-learning algorithms to generate proteins with specific structural features, enabling the creation of biologically inspired materials. The models can produce millions of new protein ideas in a few days, allowing scientists to explore unique applications.
A new computational model suggests that reducing hormone doses in contraceptives could effectively suppress ovulation. The model found that hormone doses could be lowered by up to 92% in estrogen-only contraceptives and 43% in progesterone-only contraceptives, while still preventing ovulation.
A team of researchers at Eötvös Loránd University developed a general formula to calculate honest equilibrium in any model, independent of signal costs. Their results reveal that honesty does not require signal costs to be paid in equilibrium, and that the cost is borne by cheaters, not honest individuals.
Researchers found that fish in large schools are more willing to take risks and tune down their sensitivity to social cues, reducing the likelihood of responding to false alarms. This dynamic adjustment allows individuals to maintain control over their behavior, suggesting a potential evolutionary advantage in coping with misinformation.
Researchers from Japan create a new model for estimating transepidermal water loss, providing a more realistic picture of skin water loss. The new method uses confocal laser microscopy and Raman spectroscopy to measure stratum corneum thickness and water content.
ISB researchers constructed a biological body mass index that offers a more accurate representation of metabolic health. The team found that even with no weight loss, individuals can be getting healthier biologically through positive lifestyle changes.
Researchers used demographic modeling to reconstruct wheat's evolutionary history during the Holocene, revealing its origins near the Caspian Sea and slow speciation process. The study also found that crop relatives are valuable for breeding resilient crops but face decline due to changes in human diets and climate change.
A multidisciplinary team developed a physiologically accurate model of octopus arm muscles, providing insight into biological and design challenges. The model enables energy-shaping control, simplifying arm control design and enabling life-like motion in soft robots.
The new Cell Atlas updates reveal that 20% of all neurons in the mouse brain are inhibitory, with detailed information on morphological and electrophysiological properties. The atlas combines various datasets to create a coherent framework for simulating neural circuits.
The São Paulo School of Advanced Science on Cryogenic Electron Microscopy will be held at the University of São Paulo from July 10-27, 2023. The event will cover theoretical and practical foundations of advanced CryoEM techniques, featuring renowned researchers and hands-on practical sessions.
A new study finds that salp blooms can offset as much CO2 as emitted by millions of cars, with some estimates suggesting up to 28,000 vehicles. Salps' unique features and rapid reproduction lead to large amounts of carbon being exported to the deep sea.
A new mathematical model simulates how the body regulates potassium levels, shedding light on the relationship between kidneys and muscles. The study suggests that muscle-kidney cross-talk signal hypothesis is essential in maintaining healthy potassium homeostasis.
A team of researchers from FSU and Cleveland State University have developed a mathematical model that explains how bacteria communicate within larger ecosystems. The model can predict environmental responses from bacterial communities and is flexible for different applications.
Researchers at Aston University have created the world's first computer reconstruction of a virus, including its complete native genome. This breakthrough could lead to the development of targeted treatments to kill bacteria that are dangerous to humans, reducing the threat of antibiotic resistance.
A team of researchers from Xi'an Jiaotong-Liverpool University and other institutions has identified a flexible and user-friendly model for predicting flood frequency in a changing environment. The fractional polynomial-based regression method is more effective than existing models, which often fail to account for factors like climate ...
Researchers discovered that enterococci, a type of antibiotic-resistant bacteria, can make C. difficile more potent and dangerous by producing amino acids. This understanding could help doctors identify patients at risk and develop new treatments for the deadly infection.
G-Quadruplex DNA structures play a crucial role in regulating genes and cell processes, but their visualization is challenging due to the dynamic nature of double standard DNA. Fluorescence-active small molecule probes have emerged as a real-time visualization method, enabling researchers to detect G-quadruplexes with high selectivity.
A research team used photogrammetry to build 3D models of flowers from two-dimensional images, gaining new insights into the shape and color of flowers. The technique allows for detailed study of flowers' morphology and colors, which act like magnets to attract pollinators.
Researchers modeled how genetic changes affecting protein synthesis speed can lead to misfolding and altered activity levels in proteins. This finding suggests the importance of kinetics alongside sequence for determining protein structure and function, with potential implications for fields such as biopharmaceutics and medicine.
Researchers developed an algorithm using amino acid sequences of proteins called T cell receptors to predict patient response to treatment, providing insights into the biology behind an effective response. The algorithm, DeepTCR, identified patterns that are predictive of patient response as accurately as known biomarkers.
Researchers at Michigan Medicine found a strong association between lower grip strength and accelerated biological aging in middle-aged and older adults. This study provides evidence that maintaining muscle strength across the lifespan may help protect against age-related diseases.
The study reveals that a genetic mutation can accelerate the body's internal clock, leading to improved adjustment to shift work schedules. The findings have implications for understanding the health consequences of circadian misalignment and developing medical treatments.
A new study published in GigaScience has made available an enormous amount of behavioral data from an animal model of obsessive-compulsive disorder (OCD), comprising over 2 years of continuous recording. The data set, which is the culmination of a 15-year study, provides insights into the mechanisms of OCD and potential treatments.
A new genome imaging technique captures the structure of the human genome at unprecedented resolution, revealing how individual genes fold and work. This technique, called Modeling immuno-OligoSTORM (MiOS), combines high-resolution microscopy and advanced computational modeling to provide a detailed picture of gene shape and function.
Mathematicians at Aston University are developing computational modelling techniques to examine biological drag reduction methods, such as fish slime secreted by predator-avoiding fish. This project aims to reduce skin-friction drag and increase the performance range of electric vehicles, contributing to a reduction in CO2 emissions.
A new study by OIST researchers has developed a model that determines variations in the speed of DNA copying proteins in bacterial genomes. The model shows that certain sections of DNA are copied faster than others, and this variation is linked to an increased error rate, which could have implications for mutation rates.
Researchers developed a machine learning algorithm that can generate a continuous 3D model of cells from a partial set of 2D images. The neural field network learns a mapping from spatial coordinates to physical quantities, allowing for smooth zooming and no pixelation.