Articles tagged with Three Dimensional Modeling
A team of researchers has developed a novel model of the Blood-Brain Barrier, which mimics the complex structure of cerebral blood vessels. This breakthrough enables scientists to study neuroinflammation and develop new therapeutic strategies for Alzheimer's disease and other neurodegenerative disorders.
Researchers found significant increases in crevasses at fast-flowing glaciers, with some sectors experiencing a 25% increase. This accelerated crevassing could further speed up the mechanisms behind the loss of ice from Greenland.
Researchers use generative AI to predict chromatin structures in single cells, overcoming limitations of existing experimental methods. The technique can generate thousands of structure predictions in minutes, enabling faster study of how 3D genome organization affects gene expression.
Researchers at Mayo Clinic developed patient-derived organoid models to study uveal melanoma, a common type of eye cancer. These 3D models accurately represent the disease's genetic and biological characteristics, enabling better understanding and treatment development.
The collaboration aims to develop advanced 3D mini-brain models for replicating human brain architecture, enabling researchers to explore neurological diseases and screen drug candidates. The platform offers a high-throughput screening method for rapid testing of potential drug candidates.
Scientists at the University of Lausanne used AI to simulate the last Alpine glaciation, finding ice covers 35-50% thinner than previous models. The new approach enables unprecedented accuracy and resolution, making it possible to describe complex topography numerically.
Researchers developed an AI-powered technology that transforms low-resolution, label-free images into high-resolution, virtually stained ones without fluorescent dyes. This innovation delivers stable and accurate cell visualization, overcoming limitations of traditional imaging methods.
The KAIST research team developed a highly stretchable microelectrode array to monitor organoids' functions, enabling real-time analysis of their states. The technology showed promise in high-throughput drug screening applications, revealing changes in signal characteristics according to size and identifying potential drug interactions.
The study uses GPR and laser scanners to create a digital map of the Castle's sub-surface, revealing underground cavities and passageways. The technology provides a historical record and allows for immersive experience projects combining history and innovation.
A new study found that inhibiting TBK1 increases CAR-T cell activity and makes cancer cells more susceptible to immune cell targeting. The researchers used patient-derived organotypic tumor spheroids (PDOTS) models to investigate the mechanisms of treatment resistance in solid tumors.
Researchers found that taller Japanese black pine trees have deeper roots, making them more resistant to disasters. Shorter trees are more likely to fall due to inadequate root growth.
Researchers develop a simple fix to an existing technique, enabling the generation of sharp, high-quality 3D shapes that rival top model-generated 2D images. The new approach improves upon previous methods by avoiding costly retraining and complex postprocessing.
Researchers at CAMERA have developed an open-source markerless motion capture system using computer vision and deep learning methods. The system estimates joint positions from regular 2D image data, providing unobtrusive analysis of body movements.
Researchers criticize the Digital Twin of Earth concept, highlighting the discrepancy between scientific models and reality. New computer models require new methods for appropriate data analysis and interpretation to ensure accurate knowledge and results.
Researchers have developed a 3D artificial skin model with all three layers, simulating diseases and injuries more accurately. The model can replace animals in toxicological studies of medicines and cosmetics, enabling the development of new treatments without animal testing.
Researchers have developed a mathematical model that provides strong evidence for the cosmic censorship conjecture in three dimensions, suggesting singularities inside black holes will always be hidden. The model has implications for quantum gravity and advances efforts to understand thermodynamic properties of black holes.
Researchers developed a platform to produce mature, uniform organoids using a three-dimensional engineered membrane. This breakthrough enables consistent quality and improved efficiency for practical applications in clinical trials and drug development.
A new mathematical model of prostate cancer has been developed, revealing key findings on genetic changes and tumour growth. The study shows that strong genetic changes are necessary for aggressive tumours to develop early in the course of tumour development.
Researchers at Anglia Ruskin University are investigating the complex relationship between fat tissue and colorectal cancer. The study aims to enhance knowledge of the tumour microenvironment, uncover new molecules crucial for cancer growth, and develop more effective treatments.
A study published in PLOS ONE suggests that 12,000-year-old stones from Israel may have been used as spindle whorls to turn fibers into yarn, representing a key milestone in the development of rotational tools including wheels. The stones feature a circular shape with a central hole, allowing them to rotate faster and more efficiently.
NeuroMechFly v2 simulates how a fruit fly navigates through its environment while reacting to sights, smells, and obstacles. The model can track moving objects visually or navigate towards an odor source, while avoiding obstacles in its path, enabling researchers to study brain-body coordination and animal intelligence.
Researchers developed a high-fidelity computational model to capture octopus arm muscular architecture and its complex movements. The model uses topology, dynamics, and control to simplify muscle contraction patterns and replicate octopus arm capabilities.
A new crowdsourcing system, FireLoc, uses a network of low-cost mobile phones to detect wildfires minutes—even seconds—after they ignite. The system prioritizes privacy and accurately maps wilderness fires to within 180 feet of their origin.
Researchers at Tel Aviv University demonstrated that bats can navigate great distances in open areas with their eyes closed, using only echolocation. The study found that bats create an acoustic map of their environment, relying on distinct echoes to guide their flight paths.
Devin Harris and his team have developed an augmented reality app, STRUCT-AR, that allows students to 'stress test' virtual bridges, beams, frames, and trusses. The app, which is set to be tested this spring, aims to improve students' understanding of structural behavior by providing a more interactive and immersive learning experience.
Researchers at Barrow Neurological Institute collected and displayed Vesalius' anatomical manikins for the first time, showcasing their enduring influence on modern anatomic teaching. The display highlights the significance of these works in revolutionizing anatomical education and training.
A machine learning model predicts soil behavior during earthquakes, identifying areas vulnerable to liquefaction and providing contour maps for safer construction sites. The study uses geological data to create detailed 3D maps of soil layers, improving prediction accuracy by 20%.
A new study published in Science Advances provides insights into the complex and nonlinear transition of mammal evolution from sprawled to upright posture. Researchers used cutting-edge methods to analyze fossil data and biomechanical modeling, revealing that locomotor performance peaked and dipped over millions of years.
Researchers created a 3D-printed model to mimic the conditions that spur cancer cells' spread, allowing them to visualize this process in real-time. The model revealed a mechanism where low oxygen levels promote metastasis through lowering pH levels.
Researchers found that chimpanzees have a similarly narrow pelvis to humans, contradicting previous theories. The study proposes a new hypothesis that the obstetrical dilemma developed gradually and became increasingly exacerbated over evolution.
The study of turtle genomes provides crucial information for the development of effective conservation strategies and the understanding of the evolution of sex chromosomes. Researchers have identified a novel three-dimensional chromatin conformation in both lineages, allowing for centromere-telomere interactions.
Parachute fibers' behavior under stress was studied using micro-CT scans, revealing they are not isotropic and respond differently to increasing loads. The findings inform processes like parachute assembly and improve models for screening parachute materials, making industries more cost-effective and time-efficient.
Researchers created a single cell atlas of prenatal human skin, providing a molecular recipe for building skin. The study also led to the creation of a mini organ model that grows hair, offering insights into scarless skin repair and potential clinical applications in regenerative medicine.
Researchers have developed a cell culture platform to form two distinct, interconnected vascular networks, replicating human physiology and reducing animal testing costs. This breakthrough enables the study of cellular interactions in vascularized tissues.
Researchers designed custom-fit PAP masks using computational modelling to reduce air leakage and increase comfort. The masks were tested against commercially available ones, showing promising results.
A new study published in Scientific Reports reveals the importance of foot movement in early infant development and interaction. By using machine and deep learning techniques, researchers found that AI can accurately classify five-second clips of 3D infant movements, with foot movements showing the highest accuracy rates.
Researchers developed a new model to account for directional anisotropies in land surface temperature (LST) measurements, which are affected by complex topography. The TESKD model outperforms existing methods in accuracy, particularly in mountainous regions.
Researchers at Mizzou have developed Cryo2Struct, a computer program that uses AI to build the three-dimensional atomic structure of large protein complexes from cryo-electron microscopy images. This breakthrough enables scientists to better understand protein interactions, critical for developing effective treatments for diseases like...
A new AI model called Crystalyze can analyze X-ray crystallography data to determine the structure of powdered crystals. The model was trained on a database of over 150,000 materials and successfully predicted structures for over 100 previously unsolved patterns.
Researchers at UCSF used cryogenic electron microscopy to study the protein TGF-Beta, which plays a crucial role in development and cancer. They found that TGF-Beta can signal even when bound to a 'straitjacket' within the cell membrane, challenging decades-old dogma on its function.
Researchers from University of Utah introduced Simulating Travel Rates in Diverse Environments (STRIDE) model to predict walking travel times with unprecedented accuracy. The model considers slope steepness, vegetation density, and ground surface roughness for efficient routes.
Yotam Gingold's NSF-funded project focuses on developing in-air 3D drawing tools, sonification techniques, and verbal 3D editing tools, enabling superhuman abilities in digital shape design and perception.
Researchers at Tel Aviv University used modern technologies to challenge the long-held myth that the Roman siege of Masada lasted three years. The study found that the siege actually lasted no more than a few weeks, using precise measurements and 3D digital modeling to calculate the time it took to build the siege system.
Roman Gaydukov developed a method to model fluid flow around rotating disks with small surface irregularities, reducing computational time and cost. The approach can accurately predict fluid flow behavior in chemical reactions and has potential applications in industry.
Researchers create superhydrophobic array device (SHArD) mimicking the lotus leaf surface structure, enabling high-throughput generation of three-dimensional nanoscale tumor models. This platform helps study metastasis and primary tumors, shedding light on cancer progression.
Researchers at Washington State University developed an AI algorithm that optimizes 3D printing settings, reducing time and cost for engineers. The algorithm improved the accuracy and quality of printed models, particularly for complex biomedical devices like kidneys and prostates.
Engineers at MIT have developed a physics-based model that accurately represents airflow around rotors under extreme conditions. This new theory has the potential to improve rotor blade designs and optimize wind farm layouts for maximum power output and safety.
A Chinese Medical Journal study developed an AI-based system to automate embryo selection and eliminate subjectivity in IVF. The system improved human embryo assessment and selection, achieving higher accuracy in embryo aneuploidy screening than experienced embryologists.
Researchers from POSTECH and KRICT created a 3D artificial lung using bioprinting technology, closely mimicking the human respiratory tract. This model allows for accurate testing of COVID-19 drugs and development of therapeutic treatments, potentially shortening the drug development process to under 5 years.
Researchers developed a technique that leverages component-based reduced order modeling to analyze composite laminates. The 'Lego-like' construction method offers improved speed and accuracy, making it a viable alternative to traditional finite-element analysis.
A new study suggests that the rising earth in Antarctica will impact future sea level rise, depending on how much global warming is controlled. If humans lower greenhouse gas emissions, upward shifts in solid earth could reduce Antarctica's contribution to sea level rise by about 40%, bolstering best-case scenarios for global sea level...
A team of scientists has created a 3D-printed model of human hair follicles to test new treatments against hair follicle infections. The model, which replicates the natural environment of hair follicles, allows for early-stage testing of drug candidates without animal testing.
An AI model developed by King's College London has produced realistic synthetic images of the human brain, supporting medical research on brain diseases like dementia, stroke, and multiple sclerosis. The high-resolution images accurately reflect clinical factors and can be used to tailor treatment plans for individual patients.
A model simulates the group motion of fish based on visual cues, showing that each fish selects a single target and traces its motion. The model reproduces various collective patterns, including rotating vortexes and turning motions.
Researchers have created a detailed 3D atlas of the African clawed frog's development, revealing key changes during metamorphosis. The atlas uses X-ray microtomography to show the transformation from tadpole to mature adult frog.
A team of astronomers used NASA's Hubble Space Telescope to create the most accurate three-dimensional understanding of stars' movements within the Draco dwarf galaxy. This allowed them to build a more precise model of dark matter distribution, which aligns with cosmological models and suggests a cusp-like structure.
The e-COL+ project aims to capture and reconstruct France's natural history collections in 3D, covering nearly 6% of the world's total natural specimens. The project will provide modern equipment, create a comprehensive dataset of 3D models, and build AI tools to improve model reconstruction.
Researchers developed a flexible-yet-sturdy morphing structure inspired by the starfish skeleton with 4D morphing features. The structure exhibits self-locking, continuous bending, self-healing, and shape memory features, making it suitable for industry applications in robotics, aviation, and biomedical devices.
A new imaging technique allows scientists to visualize the Earth's rocky interior using GPS data, revealing details about the planet's crust and mantle. This method has the potential to improve earthquake predictions by combining it with other techniques.
A new radiative transfer modeling framework using Helios 3D software simulates RGB, multispectral, thermal, and depth images of plants with high accuracy. The framework reduces the need for manual data collection, enabling efficient training of deep learning models for high-throughput plant phenotyping and advancing agricultural research.