Poster

Total : 472
P1-457 P-T08B-4250

Biomaterials for pre-clinical and clinical translation
- Dental & Craniofacial biomaterials


Analysis of gingiva principal stress and complete denture Peak von Mises stress with two different material properties of denture base

JEONG HYEON LEE

P1-458 P-T08B-4258

Biomaterials for pre-clinical and clinical translation
- Dental & Craniofacial biomaterials


Evaluation of physicochemical and biological properties of magnesium-complex bioceramic cement with potential application in dentistry

Yu Jin Ahn

P1-459 P-T09B-2411

Biomaterials for industrial applications
- Clinical diagnostics


Invasive cleavage reaction combined with exponential rolling circle amplification using a triple-arm dumbbell template for highly sensitive dection of microRNAs

Jueun Han

P1-460 P-T09B-2412

Biomaterials for industrial applications
- Clinical diagnostics


Development of a paper strip-based isothermal molecular diagnostic technique for rapid on-site detection of diseases-associated microRNAs

Yejin Song

P1-461 O-T09B-0183

Biomaterials for industrial applications
- Clinical diagnostics


A dual-mode and trimetallic nanozyme induced highly sensitive osteoprotegerin detection from human serum

Minhaz Uddin Ahmed

P1-462 O-T09B-0903

Biomaterials for industrial applications
- Clinical diagnostics


Longitudinal metabolite profile in hemodialysis patients

Vida Dehghan Niestanak

P1-463 P-T09A-1120

Biomaterials for industrial applications
- Biomaterials and cosmetic rheology


Grape cosmeceuticals for beauty and skin therapy

Cristiana Radulescu

P1-464 P-T10A-3385

Biomaterials enabling technologies
- Artificial inteligences/machine learning and deep learning


AI-based Morphology Evaluation for Enhanced Neural Induction Analysis in Neural Stem Cell

Young-woo Jeon

P1-465 E-T10A-2901

Biomaterials enabling technologies
- Artificial inteligences/machine learning and deep learning


Dynamic Phenotyping of Endothelial Cells Using AI-Enhanced Morphological and Motility Analysis

Seokhoon Ham

P1-466 P-T10A-2546

Biomaterials enabling technologies
- Artificial inteligences/machine learning and deep learning


Morphology Feature-based Phenotype Classification of Fibroblasts in Capsular Contracture for Breast Implants

Seongwoo Lee

P1-467 O-T10A-0279

Biomaterials enabling technologies
- Artificial inteligences/machine learning and deep learning


AI-driven single organoids analysis on cardiac contractile heterogeneity dictated by geometric inputs.

Zhen Ma

P1-468 P-T10A-1882

Biomaterials enabling technologies
- Artificial inteligences/machine learning and deep learning


Utilizing AI Image Classification for Histological Assessment of Decellularized Aorta

Naoko Nakamura

P1-469 E-T10A-2512

Biomaterials enabling technologies
- Artificial inteligences/machine learning and deep learning


Interactive Rapid Coagulation Testing (iRCT): Advancing Cardiovascular Diagnostics with Paper-Based Microfluidics and AI

Lining (Arnold) Ju

P1-470 E-T10B-3280

Biomaterials enabling technologies
- Biomineralization


Mineral-binding peptide inhibits BMP-induced ectopic mineralization

David Kohn

P1-471 P-T10A-1857

Biomaterials enabling technologies
- Artificial inteligences/machine learning and deep learning


Development of macrophage M1/M2 characterization method using live cell fluorescence images

Kazuki Hoashi

P1-472 E-T10B-3152

Biomaterials enabling technologies
- Biomineralization


3D Printing and osteogenic properties of a Composite Ink Consisting of Collagen, Hyaluronic Acid and Calcium Phosphate

Daphne van der Heide

P1-473 P-T10A-1600

Biomaterials enabling technologies
- Artificial inteligences/machine learning and deep learning


Quantitative analysis of trabecular bone tissue cryosections via a fully automated neural network-based approach

Christopher Pohl

P1-474 P-T10B-1710

Biomaterials enabling technologies
- Biomineralization


Raman spectroscopy of calcium oxalate hydrates from plant leave

Nicole Horáková

P1-475 E-T10A-0761

Biomaterials enabling technologies
- Artificial inteligences/machine learning and deep learning


Tackling data scarcity: accelerating machine learning for materials research with active learning

Fanjin Wang

P1-476 O-T10A-3558

Biomaterials enabling technologies
- Artificial inteligences/machine learning and deep learning


Deep learning based prediction of stiffness and strength of bone from synthetic X-ray CT images

Dong-Wook Lee

P1-477 E-T10A-2087

Biomaterials enabling technologies
- Artificial inteligences/machine learning and deep learning


Biomatdb resource: Use of natural language processing based on transformers and language models for biomaterials data extraction

Martin Krallinger

P1-478 P-T10C-1603

Biomaterials enabling technologies
- Healthcare biomaterials


Can clinical serology markers predict transplantation ingrowth and wound healing in lewis rats?

Nico Brandt

처음 이전 16 다음마지막
Top
host
Visitor Counter
  • Total 1,517,292
  • Today 2,019
  • This week 16,327

WBC 2024 SECRETARIAT

Address
6F, 11-13, Hwarang-ro 8-gil, suseong-gu, Daegu, Republic of Korea (42038)
E-MAIL
(Congress)info.wbc2024@gmail.com
(Sponsorship & Exhibit) exhibition.wbc2024@gmail.com
(Accommodation) wbc2024hotel@gmail.com
(Tour) wbc2024tour@gmail.com

PHONE+82-53-740-0424, 0405

FAX+82-53-742-9007

REGISTRATION NO.138-82-76927

REPRESENTATIVEKi Dong Park

THE KOREAN SOCIETY FOR BIOMATERIALS

Address
502, 22, Teheran-ro 7-gil, Gangnam-gu, Seoul, Republic of Korea (06130)

REGISTRATION NO.209-82-61032

REPRESENTATIVEKun Na

PHONE+82-02-554-9977

FAX+82-02-554-9978

Copyright WBC 2024. All rights reserved