In order to comprehend biological systems and interactions, Computational Biology uses data analysis, mathematical modeling, and computer simulations. The discipline has roots in applied mathematics, chemistry, and genetics and sits at the nexus of computer science, biology, and big data. Biological computing, a branch of computer engineering that applies bioengineering to the construction of computers, is distinct from it. The study of anatomical form and shape at the visible or large anatomical scale (display style 50-100 mu) of morphology is known as computational anatomy. For modelling and simulating biological structures, it entails the development of computer, mathematical, and data-analytical techniques. Instead of concentrating on the medical imaging equipment, it emphasizes the anatomical structures being examined. Computational anatomy is a branch of medical imaging and bioengineering that focuses on the extraction of anatomical coordinate systems at the morpheme scale in 3D thanks to the availability of extensive 3D data via technologies like magnetic resonance imaging. Computational anatomy was initially conceptualised as a generative model of shape and form derived from exemplars and manipulated through transformations.
Title : Medical liver biopsy: Toward a personalized approach
Consolato M Sergi, Universities of Alberta and Ottawa, Canada
Title : Emerging formulation and delivery applications of vitamin E TPGS
Andreas M Papas, Antares Health Products, United States
Title : Ectopically expressed olfactory receptors as an untapped family of drug targets and discovery of agonists and antagonists of OR51E1, an understudied G protein-coupled receptor
Vladlen Slepak, University of Miami Miller School of Medicine, United States
Title : Personalized and Precision Medicine (PPM) as a unique healthcare model through de-sign-inspired biotech- & biopharma-driven applications and upgraded business mar-keting to secure the human healthcare and biosafety
Sergey Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences & InMedStar, Russian Federation
Title : Managing healthcare transformation towards personalized, preventive, predictive, participative precision medicine ecosystems
Bernd Blobel, University of Regensburg, Germany
Title : Innovative development and delivery of biologics for chronic obstructive pulmonary disease
Yong Xiao Wang, Albany Medical College, United States
Title : Mathematical modeling the disc diffusion test: Antibacterial activity of copper-doped SnO2
Paulo Cesar De Morais, Catholic University of Brasilia, Brazil
Title : Antibody-proteases as translational tools of the next-step generation to be applied for biopharmacy-related and precision medical practice
Sergey Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences & InMedStar, Russian Federation
Title : Storage stability and solution binding affinity of an fc-fusion mimetic
Hanieh Khalili, University of East London, United Kingdom
Title : Macitentan/tadalafil combination– An additional value in pharmacotherapy of pulmonary arterial hypertension
Miroslav Radenkovic, University of Belgrade, Serbia