Articles tagged with Biological Models
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
Comprehensive medical research, clinical studies, and healthcare sciences focused on disease prevention, diagnosis, and treatment. Encompasses clinical medicine, public health, pharmacology, epidemiology, medical specialties, disease mechanisms, therapeutic interventions, healthcare innovation, precision medicine, telemedicine, medical devices, drug development, clinical trials, patient care, mental health, nutrition science, health policy, and the application of medical science to improve human health, wellbeing, and quality of life across diverse populations.
Comprehensive investigation of human society, behavior, relationships, and social structures through systematic research and analysis. Encompasses psychology, sociology, anthropology, economics, political science, linguistics, education, demography, communications, and social research methodologies. Examines human cognition, social interactions, cultural phenomena, economic systems, political institutions, language and communication, educational processes, population dynamics, and the complex social, cultural, economic, and political forces shaping human societies, communities, and civilizations throughout history and across the contemporary world.
Fundamental study of the non-living natural world, matter, energy, and physical phenomena governing the universe. Encompasses physics, chemistry, earth sciences, atmospheric sciences, oceanography, materials science, and the investigation of physical laws, chemical reactions, geological processes, climate systems, and planetary dynamics. Explores everything from subatomic particles and quantum mechanics to planetary systems and cosmic phenomena, including energy transformations, molecular interactions, elemental properties, weather patterns, tectonic activity, and the fundamental forces and principles underlying the physical nature of reality.
Practical application of scientific knowledge and engineering principles to solve real-world problems and develop innovative technologies. Encompasses all engineering disciplines, technology development, computer science, artificial intelligence, environmental sciences, agriculture, materials applications, energy systems, and industrial innovation. Bridges theoretical research with tangible solutions for infrastructure, manufacturing, computing, communications, transportation, construction, sustainable development, and emerging technologies that advance human capabilities, improve quality of life, and address societal challenges through scientific innovation and technological progress.
Study of the practice, culture, infrastructure, and social dimensions of science itself. Addresses how science is conducted, organized, communicated, and integrated into society. Encompasses research funding mechanisms, scientific publishing systems, peer review processes, academic ethics, science policy, research institutions, scientific collaboration networks, science education, career development, research programs, scientific methods, science communication, and the sociology of scientific discovery. Examines the human, institutional, and cultural aspects of scientific enterprise, knowledge production, and the translation of research into societal benefit.
Comprehensive study of the universe beyond Earth, encompassing celestial objects, cosmic phenomena, and space exploration. Includes astronomy, astrophysics, planetary science, cosmology, space physics, astrobiology, and space technology. Investigates stars, galaxies, planets, moons, asteroids, comets, black holes, nebulae, exoplanets, dark matter, dark energy, cosmic microwave background, stellar evolution, planetary formation, space weather, solar system dynamics, the search for extraterrestrial life, and humanity's efforts to explore, understand, and unlock the mysteries of the cosmos through observation, theory, and space missions.
Comprehensive examination of tools, techniques, methodologies, and approaches used across scientific disciplines to conduct research, collect data, and analyze results. Encompasses experimental procedures, analytical methods, measurement techniques, instrumentation, imaging technologies, spectroscopic methods, laboratory protocols, observational studies, statistical analysis, computational methods, data visualization, quality control, and methodological innovations. Addresses the practical techniques and theoretical frameworks enabling scientists to investigate phenomena, test hypotheses, gather evidence, ensure reproducibility, and generate reliable knowledge through systematic, rigorous investigation across all areas of scientific inquiry.
Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
Researchers found that dopamine treatment increased neprilysin levels and reduced beta-amyloid plaques in mouse brains, improving memory function. Long-term L-DOPA treatment also showed improved cognitive performance in mice.
Researchers investigated the effects of initial microbiota on microbial succession during eggplant fermentation, finding two distinct patterns of LAB dominance. They also identified Lactiplantibacillus plantarum as a primary contributor to lactic acid production and nutrient content.
Eötvös Loránd University researchers develop first large-scale autonomous drone traffic solution, combining route planning and bio-inspired flocking models to avoid conflicts and manage remaining issues. The system can handle up to 5000 drones in two dimensions with varying speeds and priorities.
Scientists developed customized AI tools, including ChatGPT, to provide accurate responses on digital pathology. The tools help pathologists without extensive coding experience analyze tissue samples, bridging the gap between pathology and digital pathology skills.
Researchers developed a machine learning approach to identify potential subtypes in diseases, significantly enhancing disease classification and treatment strategies. The model uncovered 515 previously unannotated disease subtypes.
Researchers at Linköping University created a tool to predict risk of persistent side effects in breast cancer patients treated with taxane drugs. The model uses genetic characteristics to forecast the risk of nerve damage, which can be used to adapt treatment and improve patient outcomes.
Researchers at the University of Houston have introduced a new method for sleep stage classification that can be performed at home and uses only two leads. This approach achieves expert-level agreement with the gold-standard polysomnography without expensive equipment, paving the way for more accessible and cost-effective sleep studies.
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 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.
A 246 million-year-old nothosaur vertebra was discovered on New Zealand's South Island, shedding new light on early sea reptiles from the Southern Hemisphere. The find reveals that these marine reptiles originated near the equator and rapidly spread to other regions, challenging long-standing hypotheses about their migration patterns.
The study found that existing corn varieties are not ideal for future climates and that new crops with specific traits will be necessary. The research suggests that warmer temperatures, drier air, and increased CO2 will lead to decreased yields unless adaptations are made.
A team of researchers at Penn has developed an artificial intelligence tool that can mine the vast and largely unexplored biological data from over 10 million molecules to discover new candidates for antibiotics. The deep learning approach identified thousands of candidates in just a few hours, with many showing preclinical potential.
The new law recognizes personalized medicine as a fundamental patient right, emphasizing individualized treatment and care. It sets a precedent for future health care innovations worldwide, integrating genomics, proteomics, and AI technologies.
A study by Dr. Edwin Dalmaijer found that pigeons' desire for social proximity leads to improved flight paths as younger birds learn from older ones. This generational improvement in route efficiency is similar to those seen in real-life data, suggesting a key role for social factors in navigation.
A holistic approach to mental health management involves integrating medication with lifestyle changes, social support, and community engagement. This approach recognizes the interconnectedness of physical and mental factors affecting mental health, emphasizing individual rights and dignity.
A team of researchers from the University of Pennsylvania developed a model that incorporates two forms of gossip to study indirect reciprocity. They found that there is a mathematical relationship between these forms of gossip, allowing them to understand how much gossip is required to foster cooperation and how incorrect information ...
A research team at Mass General Brigham developed a foundation model that identified patterns predicting anatomical site, malignancy, and prognosis from radiological images. The approach remained powerful even with limited data, outperforming existing methods in specialized tasks.
A new screening algorithm combining maternal history, ultrasound data and several tests for blood markers may predict most preeclampsia cases in the first trimester of pregnancy. The study found that personalized risk-based treatment decisions may improve adherence to preventative measures.
A new model predicts that most of North America will be suitable for the establishment of the box tree moth, a invasive species from Asia. The Ecoclimatic CLIMEX model shows the box tree moth's distribution in Asia is likely incomplete, suggesting further expansion possible in its introduced range.
A recent study by University of Technology Sydney has modelled the transfer and deposition of plastic particles in the human respiratory system. The results have identified hotspots where plastic particles can accumulate, particularly in the nasal cavity and lungs, posing a risk to respiratory health.
The American Heart Association has funded four new grants to evaluate the use of race in predicting heart disease risk and develop unbiased clinical algorithms. The research projects will test various risk models to remove racial bias from care decisions, improving patient outcomes.
Researchers at UNC Lineberger Comprehensive Cancer Center have developed a mouse model of Kaposi sarcoma, which could facilitate the development of new drugs to treat the disease. The model provides a better understanding of angiogenesis and its potential targets for therapy.
Researchers at Insilico Medicine developed COSMIC, a new framework for molecular conformation space modeling that provides accurate insights into molecule positioning and activity. This enables faster and more efficient drug design decisions.
A new case report uses longitudinal multi-omics monitoring to detect a precancerous pancreatic tumor in a patient. The study highlights the potential of blood-based LMOM for early detection and personalized medicine, warranting further translational research.
A novel machine learning model has been developed to characterize material surfaces, accurately predicting key electronic properties. The model, which employs artificial neural networks and transfer learning, shows great promise for exploring new materials with superior properties.
A researcher at West Virginia University is using 'reverse engineering' to study the structural characteristics of slot machines and their impact on players. The study aims to understand what makes these games immersive and how they interact with individual vulnerabilities, ultimately informing the development of safer gambling products.
A recent study suggests that Canada lynx had a broader past range in the US, potentially including parts of Utah, central Idaho, and Yellowstone National Park. The researchers used a validated model to estimate the species' historic distribution, taking into account factors such as climate change and land use.
A new model integrating soil microbes and large perennial grasses into the DayCent framework improves its representation of ecosystem dynamics. The updated model includes a live microbial biomass pool and dead microbial biomass pool to simulate carbon storage in soils, enhancing the evaluation of bioenergy crop sustainability.
A team of scientists discovered new fusion sites in protein evolution that enable faster and more targeted drug development. By combining evolutionary processes with synthetic biology, they created customized biological drugs with improved therapeutic properties.
A new method for correcting glare in plant phenotyping has been developed, using polarized light to improve accuracy and reduce complexity. The technique has been validated in field trials, showing significant improvements in image data accuracy and reduction of error and variance.
Virginia Tech researchers have received a five-year National Science Foundation grant to develop an open-source automated forecasting system for lakes. The system will enable real-time data collection and publishing, allowing researchers to predict water quality in lakes around the globe.
Researchers at Oxford University have discovered a network of ocean currents that scatter coral larvae between remote islands in the Seychelles. This 'coral superhighway' suggests that centrally located reefs may play a crucial role in linking distant islands, supporting regional reef resilience.
A new study led by Worcester Polytechnic Institute aims to determine whether AI can help doctors predict which patients will benefit from mindfulness-based stress reduction in managing chronic lower back pain. The research uses machine learning and physiological data from fitness sensors to detect patterns that may not be apparent to d...
A computational model of the more than 26 million atoms in a DNA-packed viral capsid has expanded our understanding of virus structure and DNA dynamics. The study found that the DNA formed switchback loops as it was pushed into the capsid, similar to how DNA is organized in eukaryotic cells.
Researchers at UCSF used clinical data and a precision medicine approach to identify early risk factors for Alzheimer’s disease, predicting its onset with 72% accuracy. High cholesterol, osteoporosis, and erectile dysfunction were found to be predictive factors in both men and women.
Researchers have introduced an optimization technique that accelerates Bayesian inference without requiring extensive user effort. This new automated method achieves more accurate results faster than another popular approach and offers reliable uncertainty estimates to help scientists understand when to trust their predictions.
A recent study from Argonne National Laboratory has uncovered new insights into the relationship between genetic ancestry and prostate cancer risk. The research, which included large increases in representation among men of African, Hispanic, and Asian ancestries, found 187 new genetic markers that provide more accuracy in calculating ...
A Bayesian model analysis reveals how key covariates affect SARS-CoV-2 viral kinetics at individual and population levels. The study identifies intrinsic differences between Omicron and Delta variants, shedding light on their growth drivers.
A new study reveals that Singapore has lost 37% of its species over the past two centuries, with larger mammals and forest-dependent birds being particularly at risk. The researchers recommend prioritizing landscape-scale conservation efforts for charismatic species, such as tigers and orangutans, to mitigate extinction rates.
A European study links agricultural activities with West Nile virus emergence and spread, as well as urbanization and migratory bird patterns. The study highlights the need for enhanced surveillance in Central Europe.
A new model developed by MIT engineers predicts how certain shoe properties will affect a runner's performance, incorporating factors like stiffness and springiness. The model aims to help designers create high-performing shoes with novel properties.
A new study by Northwestern University found that lab-trained AI models are easily misled by tissue contaminants, resulting in errors in diagnoses and vessel damage detection. The researchers suggest improving the problem of quantifying and addressing biological impurities in AI models to enhance accuracy.
A research group from Tohoku University Graduate School of Engineering has replicated human-like variable speed walking using a musculoskeletal model steered by a reflex control method reflective of the human nervous system. The breakthrough in biomechanics and robotics sets a new benchmark in understanding human movement.
A new study published in Palaeontologia Electronica shows the Megalodon was more slender than earlier studies suggested, changing our understanding of its behavior and impact on ancient ocean life. The revised model suggests a longer digestive canal, potentially leading to less predation pressure on other marine creatures.
Researchers used the 2022 FIFA World Cup to study COVID-19 spread and hospitalizations at mass gatherings. They found that pre-travel screenings did little to prevent infections, but pre-match testing with rapid antigen or reverse transcription polymerase chain reaction tests was more effective.
The review discusses the optical aspects of QPAT, including mathematical models for light propagation and interaction with biological tissues. The authors outline two approaches to estimating chromophore concentrations from absorbed optical energy density data, highlighting the challenges associated with practical implementation, such ...
A study predicts tecovirimat administration impacts time to viral clearance in mpox patients, combining pre-clinical and clinical data. Early tecovirimat treatment shortens the time to mpox clearance in a human infection model.
Multiple sclerosis affects over 2.8 million worldwide, and EU funding will investigate viral infections like EBV as potential causes and co-factors. The BEHIND-MS consortium aims to develop new cell models to test hypotheses on the disease's development.
Researchers developed a new framework to predict how microbes interact with each other in unique compositions. Most microbes had minimal impact on the final outcome, with only select few playing crucial roles. The model has potential applications in personalized medicine and understanding microbiome assembly.
Researchers found that a more complex climate model projects stronger and sustained carbon uptake by plants until the end of the 21st century. This could lead to a larger impact on mitigating climate change through nature-based solutions like reforestation.
Researchers at Purdue University developed a new tool to visualize neural network decisions, making it easier to identify errors in image recognition. The tool uses graph-topological data analysis to provide a bird's-eye view of all images in a database, revealing areas where the network struggles to distinguish between classifications.
Researchers at Tufts University developed a genome-scale metabolic model to identify potential new treatment targets for Lyme disease. The model successfully predicted two compounds that selectively target Lyme bacteria while leaving other helpful bacteria untouched.
A recent study discovered two subgroups of people with idiopathic generalized epilepsy, one experiencing highest incidence during sleep and the other during daytime. The researchers found that either dynamics of cortisol or sleep stage transition explained most of the observed distributions of epileptiform discharges.
A new model describes microswimmer self-propulsion energy requirements, enabling optimized shape designs and applications in microfluidics, biophysics, and material science. The study reveals surprising similarities between artificial and natural shapes.
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.