Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Computational methods”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 253 records · Page 14Linked to original sources
PubMed2005

A novel computational method for real-time preoperative assessment of primary dental implant stability.

A novel methodology which allows for fast and fully automatic structural analysis during preoperative planning for dental implant surgery is presented. This method integrates a fully automatic fast finite element solver within the framework of new concepts in computer-assisted preoperative planning for implant surgery. The planning system including optimized structural planning was validated by experimental results. Nine implants were placed in pig mandibles and mechanically loaded using a testing rig. The resulting displacements were measured and compared with those predicted by numerical analysis during planning. The results show that there were no statistically significant differences (P = 0.65) between the results of the models and the experiments. The results show that fast structural analysis can be integrated with surgical planning software allowing the initial axial implant stability to be predicted in real time during planning. It is believed that such a system could be used to select patients for immediate implant loading and, when further developed, be useful in other areas of preoperative surgical planning.

Animals↗
PubMed2005

A computational method for inferring growth parameters and shape changes during development based on clonal analysis.

We describe a method for estimating growth parameters in various regions of a developing organ undergoing cell divisions, along with the corresponding changes in organ shape. Growth parameters are computed by coupling clonal analysis with a growth model, allowing a wide range of developmental stages to be covered. The method was applied to the development of dorsal petal lobes of Antirrhinum majus. The resulting description of growth patterns and shape changes is consistent with direct observations using scanning electron microscopy. This method can potentially be applied to other organs, and opens the way to comparative studies of growth and gene expression patterns.

Antirrhinum↗
PubMed1997

Axisymmetric Drop Shape Analysis: Computational Methods for the Measurement of Interfacial Properties from the Shape and Dimensions of Pendant and Sessile Drops.

State-of-the-art axisymmetric drop shape analysis (ADSA) techniques for the computation of interfacial tensions and contact angles by fitting the Laplace equation of capillarity to the shape and dimensions of pendant and sessile drops are presented. More accurate, efficient, and reliable versions of the technique for the measurement of contact angles from the volume and diameter of sessile drops [axisymmetric drop shape analysis-diameter (ADSA-D)] and for interfacial tension measurements from a series of arbitrary profile coordinates of sessile and pendant drops [axisymmetric drop shape analysis-profile (ADSA-P)] have been developed. Advanced numerical methods have been used to improve the numerical stability and global convergence, for more accurate results and a wider range of applicability of the methods. A new technique called axisymmetric drop shape analysis-height and diameter (ADSA-HD) has been developed to estimate interfacial tensions from the height and diameter of sessile and pendant drops. Numerical simulations using numerically generated drop profiles were used to evaluate the accuracy and applicability of the methods. Copyright 1997 Academic Press.

Journal Article↗
PubMed1998

Computational methods in molecular diversity and combinatorial chemistry.

Molecular diversity, combinatorial chemistry and automated synthesis are helping usher in a new age in medicinal chemistry. The tools and practices of computational chemistry and molecular modeling are rising to the challenges and opportunities presented by the current trends in drug discovery and design. Recent advances include a number of new and meaningful measures of molecular diversity and the use of genetic algorithms to help design diverse libraries.

Algorithms↗