Articles tagged with Three Dimensional Modeling
A team of researchers used artificial intelligence to create a 3D model of the Commander complex, a bundle of proteins that transport proteins in cells. This has helped understand how mutations cause disease, including Alzheimer's and heart disease.
A new onsite deep-learning based FFR-CT algorithm demonstrates excellent diagnostic performance, with high interobserver and intraobserver reproducibility. The algorithm showed AUC of 0.975, sensitivity of 93.5%, and specificity of 97.7% for hemodynamically significant stenosis.
A MedUni Vienna study examining the connection between brain structure and function found that brain shape evolved parallel to its capabilities. The research analyzed 90 species of Euarchontoglires, revealing clusters of growth patterns linked to cognitive abilities.
Astrophysicists have discovered that intermediate-mass black holes eat stars in a series of violent passages, ejecting the leftovers across the galaxy. The star's remains create a signature that might help astronomers pinpoint these elusive objects.
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.
Scientists from Centre for Ocular Research & Education (CORE) unveiled multiple advancements in 3D printing, accelerating development of drug delivery systems, biodegradable contact lenses, and pharmaceuticals. CORE's innovations include a novel method to fabricate PDMS microfluidic chips with high throughput.
A team of scientists from Kyoto University has confirmed that galaxy alignments can be a powerful probe for dark matter and dark energy. The analysis of 1.2 million galaxy observations verified general theory of relativity at vast spatial scales, providing strong evidence for gravity's role in shaping the universe.
Hokkaido University researchers evaluate a material used to build model arteries, finding it suitable for medical education and surgical practice. The study also highlights the potential for improved assessment of 3D printing technology in creating highly accurate models of individual patient's artery structure.
Researchers at Carnegie Mellon University developed Pix2pix3d, a machine learning tool that generates realistic 3D representations of 2D sketches. The tool allows users to create customized 3D models for various applications, including video games and consumer products.
Researchers observed lithium ions wandering within composite cathodes, revealing limitations in ion delivery that affect battery performance. The findings suggest a previously overlooked development bottleneck for solid-state battery development, highlighting the need to enhance ion transport within cathode composites.
Researchers have created a high-resolution, single-cell model of the human hippocampus CA1 area using data from the BigBrain Atlas. The model replicates the structure and architecture of the neurons, as well as their connectivity. This advancement in neuroscience has potential applications for modeling other brain regions.
Researchers created a three-dimensional structure that mimics bone and houses osteosarcoma cells beside immune cells, finding increased inflammation reduces chemotherapy effectiveness. The study highlights the importance of the tumor microenvironment in disease progression and treatment.
Researchers have developed a robotic system called AngleNet that measures leaf angles on corn plants, providing plant breeders with accurate data more quickly. The technology uses stereo vision and deep convolutional neural networks to capture images of leaves at different heights, enabling 3D modeling and precise measurements.
A study by University of Essex found that negative emotions such as anxiety and anger can fuel success, but are linked to poor health and lack of strategic thinking. Positive perceptions and feelings of control, on the other hand, lead to enjoyment of learning and desire for success.
Researchers developed a microfluidic model of vascular malformation caused by PIK3CA mutation, allowing them to study disease mechanisms and test treatment efficacy. The model successfully replicated the disease's manifestations and responded to alpelisib, a newly approved PIK3CA inhibitor.
A team of researchers used computational fluid dynamics to simulate the 3D spatial transmission of COVID-19 within a hospital isolation room. They found that the area above a patient's bed at a height of 0.7 to 2 meters is the highest risk zone for infection.
Researchers analyze penguin swimming movements to understand their underwater turning maneuvers. They found that body banking and wing upstroke generate centripetal force during turns. This study sheds light on the physics behind penguins' aquatic prowess.
The new automated method, called HybridFlow, uses large-scale aerial images to produce precise 3D models of cityscapes and landscapes. This technology has potential applications in natural disaster risk assessment and mitigation, enabling informed decision-making and evaluation of risk-mitigating factors.
Researchers at Columbia University Irving Medical Center have developed a method to grow engineered skin in complex, three-dimensional shapes, making it possible to construct seamless 'glove' of skin cells that can be easily slipped onto a severely burned hand. The new skin grafts have better mechanical and functional properties than c...
Engineers at MIT and Georgia Tech have developed a faster and simpler way to model intrusion through any soft, flowable material. The new method uses Resistive Force Theory (RFT) and adapt it to 3D, predicting forces needed to push objects through sand, gravel, or other soft media in real-time.
A new study by Brown researchers reveals that changes in tectonic plate thickness impact the location of the Denali Fault, a major strike-slip fault. The findings provide key insights into how geological faults behave as they deepen, shedding light on earthquake hazards.
The use of 3D-patient tumor avatars (3D-PTAs) is crucial for guiding treatment decisions in precision oncology. These avatars, including patient-derived organoids, 3D bioprinting, and microscale models, can accurately depict a tumor with its microenvironment, enabling the testing and prediction of therapeutic drug efficacy.
A team of scientists found evidence that 37 ichthyosaurs died in the same location, suggesting they were migrating to give birth over hundreds of thousands of years. Geochemical tests revealed no signs of environmental disturbance or mass stranding events, pointing to a more plausible explanation for their demise.
Researchers analyzed fossil bed in Nevada's Berlin-Ichthyosaur State Park to determine cause of mass extinction. They found evidence that ichthyosaurs died due to migration, not mass stranding or environmental toxins.
A new method for creating freestanding hydrogel lumens that can accurately replicate blood vessels and facilitate vasodilation research. This approach allows researchers to study vasodilation in a more efficient and effective manner, overcoming limitations of existing methods.
A team of researchers from McGill University and the Montreal Botanical Garden used photogrammetry to create 3D models of flowers, shedding light on their evolution and interaction with pollinators. The technique has the potential to revolutionize research in plant biodiversity.
Researchers at Incheon National University have developed an IoT-enabled, real-time object detection system for autonomous vehicles. The YOLOv3-based model achieved high accuracy (>96%) in detecting 2D and 3D objects, outperforming other state-of-the-art detection models.
Researchers developed a new 3D imaging model to analyze cellular geometry and mechanics, helping biologists quickly see how plants respond to environmental changes. The model identified unexpected guard cell behavior, shedding light on plant adaptation to drought.
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 develop an algorithm to automate feature extraction from HD maps and point cloud data. The model achieved high precision in detecting road signs and traffic lights, with zero false detections.
A new analysis of a 45,000-65,000 year old fossil mandible from Spain suggests it may be the earliest documented presence of Homo sapiens in Europe, rather than a Neandertal. The study used CT scanning and 3D modeling to analyze the fossil's shape and features, finding that it shared characteristics with both humans and Neandertals.
Johns Hopkins researchers have developed a three-dimensional organoid model derived from human tissue to study gastroesophageal junction (GEJ) cancer. The dual knockout of genes in the model has identified key biological targets for treating GEJ cancers with existing drugs.
Researchers at the University of Oldenburg have developed a new statistical model that accurately describes wind turbulence and generates fully three-dimensional wind fields using limited measurement points. This breakthrough enables precise wind turbine load estimation and improves wind farm planning, with applications in various fiel...
Researchers developed a 3D organoid model that mimics human heart development, revealing how low levels of cadmium can block cardiomyocyte formation and induce heart abnormalities. The study supports decades of toxicology research on environmental exposures contributing to human diseases.
Researchers at MIT have developed a machine-learning model that captures how sounds propagate through spaces, allowing for accurate visual renderings of rooms. This technique has potential applications in virtual and augmented reality, as well as improving AI agents' understanding of their environment.
Researchers at Kyushu University developed a new method to create highly detailed 3D models of plants and animals. Over 1,400 models are now publicly available for use in education, research, and virtual exploration.
A new method combines Centroidal Voronoi tessellation (CVT) and Model Predictive Control (MPC) to optimize microsatellite swarm trajectories, ensuring collision avoidance while minimizing fuel consumption. Numerical simulations validate the effectiveness of this macro-micro trajectory planning approach.
Researchers at NC State University have developed a reproducible method for studying cellular communication in plant cells using 3D bioprinting. The study found that more than half of the bioprinted cells were viable and divided over time, with soybean embryonic cells remaining viable for two weeks after bioprinting.
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.
Researchers from the University of Sydney explain that the James Webb Space Telescope's 'spiderweb' image is not an alien megastructure but rather a series of concentric dust shells created by a binary system. The team discovered that the stars in the system interact through stellar winds, producing shock fronts and spiral-shaped plumes.
Researchers observe atomic-level structural changes in bacterial ribosomes and their response to antibiotics, shedding light on mechanisms of action and potential off-target effects. The study provides new insights into the complex interactions between ribosomes and other cellular complexes.
A team of Swiss researchers has developed Aerial Additive Manufacturing (AAM), a system that uses flying drones to print materials for construction projects. The technology enables on-site manufacturing and building in difficult-to-access or dangerous locations, such as post-disaster relief construction and tall buildings.
Researchers developed a new 3D organoid model that replicates the unique disease process of autosomal recessive polycystic kidney disease (APRKD). The model identified potential therapeutic targets, including FOS and RAC1, and showed therapeutic effects with FDA-approved drugs.
Tel Aviv University researchers discovered that skin cancer cells interact with astrocytes in the brain, promoting metastasis. By inhibiting this interaction using existing treatments, they delayed the spread of melanoma to the brain by 60-80%. This breakthrough has implications for treating advanced-stage melanoma.
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.
A University of Missouri researcher and his team are using artificial intelligence to study anatomical research, creating detailed 3D computer models of muscles. This technology is advancing the field by enabling researchers to analyze muscle fiber orientation and develop a better understanding of motor control in animals.
Researchers are using in vitro skeletal muscle models to study Type 2 diabetes and its treatment. These models enable the exploration of disease characteristics and discovery of new medicines tailored to individual patients' muscles.
City digital twin technology is used to create synthetic training data for deep learning models, which are then trained on a combination of real and synthetic data. This approach yields promising results for architectural segmentation tasks, particularly for modern building styles.
A new method for monitoring coral size and growth has been developed using dental scanning technology, reducing surveying time by 99%. This non-destructive approach allows scientists to measure thousands of tiny corals quickly and accurately without harming them, with the potential to expand large-scale monitoring of ocean health.
A new method for generating realistic images in driving simulations uses machine learning to improve visual fidelity. This enables better testing of driverless cars and study of driver distraction, ultimately enhancing safety and interaction between humans and AI on the road.
Researchers at the Florida Museum of Natural History found that frog forelimbs are not just for jumping, but also for fighting and grasping mates during reproduction. The fused radius and ulna bones provide strength and weight reduction, while also increasing stress on the tendon connecting to the bone.
A new study by researchers at University of California - Riverside found that the position of continents can have a devastating effect on deep ocean creatures. Continental movement can cause a sudden collapse in global water circulation, leading to a stark separation between oxygen levels in the upper and lower depths.
Scientists used 3D modeling to reconstruct the body of megalodon and estimate its weight, speed, and energy usage. The model suggests that megalodon was capable of eating prey up to 8m long and had a high energetic demand, likely feeding on whale blubber.
Researchers at NIH have developed a 3D structure of the twinkle protein, which helps identify mutations that cause mitochondrial diseases. The discovery could lead to targeted treatments for patients with conditions like progressive external ophthalmoplegia and Perrault syndrome.
Virginia Tech scientists have developed a novel 3D tissue-engineered model of the glioblastoma tumor microenvironment to learn why tumors return and what treatments will be most effective. The model accounts for cell types, fluid flow, and other aspects of the actual tumor environment, allowing for easy testing of drug therapies.
Scientists at Kyoto University propose a novel approach using holograms to approximate the universe's expansion in de Sitter space. The model uses conformal field theory and a positive integer for the cosmological constant, enabling the identification of the first example of two-dimensional CFT.
A novel three-dimensional model of the fluid stored deep in Earth's crust along the Cascadia Subduction Zone provides new insight into how the accumulation and release of those fluids may influence seismic activity. The study's findings have applications for increasing understanding of seismic activity along the Cascadia Subduction Zone.
A team of scientists discovered a mathematical principle explaining how cells connect to form tissues and organs, shedding light on embryonic development and organ formation. The study found that epithelial cells can adopt complex three-dimensional shapes like scutoids, which determine cellular connectivity and tissue properties.
Researchers developed smart textiles that sense wearer's posture and motions using a novel fabrication process called thermoforming, which improves pressure sensor precision. The technology has potential applications in healthcare and rehabilitation, such as tracking gait or monitoring pressure on diabetic patients' feet.
A team of researchers has successfully created complex artificial tissue models, including a full-scale human heart model, using focused rotary jet spinning. This method enables the creation of intricate details and spatially varying alignment, rivaling biological tissues in mechanical behavior.