Articles tagged with Three Dimensional Modeling
Epic Games has acquired Meshcapade, a Max Planck startup that develops solutions for creating and animating digital humans. The technology, based on the SMPL body model, enables realistic human movement and expression in 3D.
Researchers developed a free-to-use software tool, PSBench, to verify the accuracy of artificial intelligence-based protein structure predictions. The database includes 1.4 million annotated protein models, verified by experts, and provides reliable information for building more accurate AI systems.
Researchers at Cornell University have developed a new technique to create digital images of cloth that more accurately captures the texture of textiles. The method models how light interacts with yarns, both as it passes through and reflects off the fabric, enabling more realistic renderings for the gaming and animation industry.
The Stowers Institute has appointed its first AI Fellow, Sumner Magruder, to harness the potential of artificial intelligence in biological research. He will collaborate with researchers to design new algorithms and unlock insights from large datasets.
Researchers from TU Graz have documented and analyzed Buddhist temples in the remote Dolpo region of Nepal, creating 3D models and 2D plans to preserve their history. The study provides insights into the sacred architecture of the region, categorizing existing buildings in their historical and art-historical context.
Researchers developed a fully automated finite element analysis pipeline to transform spine diagnostics and personalized treatment planning. The new approach enables rapid, patient-specific simulations that support preoperative planning, spinal implant optimization, and early detection of degenerative spine conditions.
Tayfun Tezduyar's space-time computational flow analysis enables accurate modeling of complex systems, from designing parachutes for astronauts to simulating blood flow through heart valves. The approach provides high-fidelity representations in both space and time, allowing for more realistic solutions.
Computer scientists at Princeton University are working on a system that pairs virtual reality with a physical robot, allowing users to seamlessly interact with the physical world. The technology enables tasks like selecting an object across the room or erasing physical objects from view, creating a more immersive experience.
Researchers at Penn State have simulated a new class of protein misfolding using atomic-scale models, revealing a type of entanglement that disrupts protein function and persists in cells. The findings support the existence of this long-lasting type of misfolding, which is thought to contribute to aging and disease.
A new study by the Germans Trias i Pujol Research Institute expands and optimizes 3D models to investigate colorectal cancer. The results show that different culture conditions affect spheroid morphology and compactness, highlighting the need for standardization.
A team of Penn engineers and materials scientists have developed a biomineral-infused concrete that captures up to 142% more CO2 than conventional mixes while using less cement. The new material is stronger, lighter, and uses fewer materials like cement.
Researchers at Cornell University have developed a process that transforms short videos of rooms into highly accurate, interactable 3D simulations. The technology can be used to create more realistic video games and train robots to operate within specific real-world spaces.
A novel 3D modeling method accurately quantifies the shading potential of over 800 microalgal species, affecting underwater light conditions and ecosystem balance. The study provides a comprehensive Projected Area Database for freshwater microalgae, enabling researchers to estimate the ecological impact of algal blooms.
Researchers at ETH Zurich have created a living material that can absorb CO2 from the air through photosynthesis and store it in a stable mineral form. The material, made with cyanobacteria, can be shaped using 3D printing and requires sunlight, water, and nutrients to grow.
A new AI tool developed by University of Missouri researchers can predict the 3D shape of chromosomes inside individual cells, providing a new view of how genes work. The tool helps identify unique differences in chromosome folding between cells, which controls gene activity and can lead to diseases like cancer.
Researchers have developed an image-analysis tool called SeaSplat that cuts through the ocean's optical effects and generates images of underwater environments with accurate colors. The team paired SeaSplat with a computational model to convert images into three-dimensional underwater worlds, allowing for virtual exploration.
Researchers at Rice University have developed a novel personalized medicine approach for addressing movement impairments. The Neuromusculoskeletal Modeling (NMSM) Pipeline software allows clinicians to work in collaboration to construct personalized computer models of individual patients, leading to more effective orthopedic surgery, p...
Researchers analyzed a skeleton with a severe knee injury to uncover the complexities of social attitudes towards individuals with disabilities in medieval Europe. The study found that despite negative cultural views, some individuals with disabilities received long-term care and prominent burials.
Researchers have developed a model called Difface that can reconstruct 3D facial images from DNA data, improving forensic investigations. The method demonstrates excellent performance in aligning and reconstructing facial images from paired DNA differences.
Researchers have developed three-dimensional spheroid cultures that better replicate cell-cell interactions and nutrient gradients, leading to a greater understanding of tumour tissue behaviour and drug responses. The study highlights the importance of mimicking tumour architecture in testing cancer therapies.
BiaPy breaks down the barrier to AI-based image analysis in biomedicine, allowing more scientists and healthcare professionals to harness its potential. The tool offers various types of analysis, including cell identification, element counting, and improving image quality, on both two-dimensional and three-dimensional images.
A team of researchers from the University of Tokyo used simulations to create a detailed 3D model of a fault, which helped them understand how different parts of a fault contribute to uplift during an earthquake. The study revealed that fault geometry is a critical factor in determining the impact of earthquakes on land.
Researchers explored CFRP-RC composites to overcome brittle failure and residual deformation in conventional shear walls. A refined size-effect correction model was proposed to address limitations in seismic performance prediction, paving the way for more resilient designs.
Researchers developed Draw2Cut, a novel vision system that allows users to draw directly onto materials to be cut or milled. The system creates 3D CAD plans for CNC machines, reducing complexity in manufacturing.
Researchers developed collagen-based scaffolds that can integrate with a vascular and perfusion organ-on-a-chip reactor to form complete tissue engineering platforms. The team demonstrated the ability to create non-planar 3D networks in soft, organic material by printing helical vascular networks modeled after DNA structure.
FAU CA-AI will acquire NVIDIA infrastructure for generative physical AI and develop state-of-the-art hardware and software for computational T&E of connected AI autonomy. This funding solidifies FAU's role as a national leader in next-gen networked AI autonomous systems research.
Researchers Ana Ivonne Vazquez-Armendariz and Jan Hasenauer are using their prize money to study the functions of scavenger cells in the lungs, combining mathematics and medicine. Their new models aim to understand how these immune cells behave in the lung, potentially unlocking better defense mechanisms.
Researchers developed a new model called React-OT that can predict the transition state of chemical reactions in under a second with high accuracy. The model uses linear interpolation to generate better initial guesses, reducing the number of steps and computation time needed.
Researchers unveiled a new class of topological insulator with an octupole phase protected by a three-dimensional momentum-space nonsymmorphic symmetry group. The discovery broadens the understanding of higher-order topological phases and provides new insights into band theory in the Brillouin real projective space.
Researchers from PolyU explore how virtual environments and collaborative learning influence film lighting skills acquisition in VR-based education. The study reveals that beach settings boost engagement but increase frustration, while team learning enhances collaboration.
Researchers at KAUST developed a highly accurate 3D dynamic model to better anticipate large earthquakes. The model provides a more accurate understanding of strong shaking during the Turkiye earthquake, enabling information for future seismic hazard assessments.
Researchers developed an AI model that creates synthetic fibrosis patterns to aid in treating atrial fibrillation. The system accurately mimics real heart scarring and enables clinicians to test different treatment approaches on digital models before performing procedures.
BEAMoCap simplifies 3D animation by eliminating marker suits using AI and machine vision. This reduces production timeline and increases creative flexibility for game developers and film animators.
A new editorial in Oncotarget discusses how artificial intelligence can improve liver imaging by recognizing when it might be wrong. The approach, called 'uncertainty quantification,' helps clinicians better detect liver cancer and other diseases by pointing out areas in medical scans that need a second look.
A Kobe University study found that temperature at the plate interface predicts earthquake type, while a specific plate shape causes a seismic gap. Water released from rock transformation explains slow slip events and tectonic tremors, reducing stress between plates.
A new study presents a proof-of-concept leptomeningeal neural organoid (LMNO) fusion model to study meninges-brain signaling. The co-culture system of neural organoids fused with fetal leptomeninges from mice demonstrates stability and interface characteristics.
A new tool called SplatOverflow enables remote hardware troubleshooting using 3D phone scans, creating a scalable and structured approach to support users. This innovation addresses the current gap in hardware maintenance by connecting design information, documentation, and end-user discussions to actual hardware.
University of Missouri researchers developed a method using lidar and AI to analyze pedestrian, cyclist, and vehicle interactions at traffic signals. The approach aims to enhance driver awareness, reduce accidents, and improve mobility.
Full Waveform Inversion (FWI) technology provides unprecedented precision in seismic imaging, breaking resolution limitations of traditional methods. It characterizes complex structures within the Earth's interior and offers higher-resolution subsurface models.
Researchers at Purdue University have developed AI-powered software, Molecular Intelligence, to structure biomolecules from cryo-EM image data. The tool uses deep learning to analyze low-resolution image data and construct accurate 3D structures of proteins and other biomolecules.
A new framework allows users to correct a robot's actions in real-time using intuitive interactions, such as pointing or nudging the arm. The method achieves a success rate of 21% higher than an alternative approach, enabling more efficient and accurate task completion.
A researcher is using accessible 3D scanning technologies to document and analyze stranded marine mammals, providing precise morphometric assessments and creating interactive visualizations. This approach enhances data collection, democratizes access, and expands the impact of conservation efforts worldwide.
A novel computational model enables prediction and improvement of multifunctional structures in 3D printing. Researchers have controlled internal structure to enhance mechanical resistance and electrical signal transmission.
A new AI model measures how fast the brain ages by analyzing MRI scans, providing a more accurate picture of brain health. The tool closely correlates faster brain aging with increased cognitive decline and dementia risk, offering potential for early biomarkers and personalized treatment.
Researchers identified recent advancements in bioinformatics foundation models, enhancing understanding of molecular landscapes and providing practical foundations for innovation in molecular biology. The models are versatile and essential tools for various downstream tasks, including genomics and drug discovery.
The 3D lung model can replicate realistic breathing maneuvers and offer personalized evaluation of aerosol therapeutics under various breathing conditions. The researchers detail in the paper how they built the 3D structure and what they’ve learned so far.
Researchers at Worcester Polytechnic Institute are developing a lightweight, flexible robotic arm that enables wheelchair users to safely grasp and carry objects out of reach. The project builds on origami-inspired designs and novel fabrication methods for modules made of lightweight plastics, 3D printed components, and sensors.
Researchers have introduced a new class of polymers called polythioenones, which are mechanically and chemically recyclable and suitable for 3D printing. These polythioenones demonstrate better mechanical properties than conventional polyolefins thanks to a special ring-shaped building block.
Researchers developed a 3D microscopic version of the human intestines on a chip, allowing for real-time examination of gut microbes' interactions with the human intestine. The 'Gut-Microbiome on a chip' model enables the study of complex interplay between gut microbes and health, facilitating targeted microbiome-based interventions.
A new 3D bioprinted gastric cancer model successfully replicates the unique characteristics of individual patients' tissues, predicting drug responses and prognosis with high accuracy. This innovative platform enables rapid evaluation within two weeks, contributing to personalized cancer treatment development.
Researchers at UC3M developed a new soft joint model that enables versatility of movement, adaptability, and safety in robots. The asymmetrical triangular structure allows for greater bending angles with less force, providing operational protection and increased safety in human-robot interactions.
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.
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 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.