Enhanced Bone Cancer Detection Using Deep Convolutional Learning Classification From Histopathological Images DOI
Richa Singh, Nidhi Srivastava, R.L. Kashyap

et al.

Advances in medical technologies and clinical practice book series, Journal Year: 2024, Volume and Issue: unknown, P. 219 - 236

Published: Nov. 29, 2024

The old procedures of the conventional histology process continue to limit pathologists. Bone structure is complex, which makes diagnosis difficult. To improve diagnostic capacities using CAD tools, digital histopathology must be used. development automated techniques needs investigation based on various facets bone structure. assess tumor density methods have been created still image classification remains a considerable address this issue, Convolutional algorithm used for identifying different types cancer images. differentiate between healthy & damaged sections, our approach combines important classifiers and applies Karhunen-Loeve extraction method certain picture attributes. results found are subsequently fed with help ML enhance accuracy i.e. 97.3% detection prediction. proposed method, algorithms histopathological analysis, provides promising increase effectiveness identification

Language: Английский

Bioengineering Composite Aerogel-Based Scaffolds That Influence Porous Microstructure, Mechanical Properties and In Vivo Regeneration for Bone Tissue Application DOI Open Access
Mariana Souto‐Lopes, Maria Helena Fernandes, Fernando J. Monteiro

et al.

Materials, Journal Year: 2023, Volume and Issue: 16(12), P. 4483 - 4483

Published: June 20, 2023

Tissue regeneration of large bone defects is still a clinical challenge. Bone tissue engineering employs biomimetic strategies to produce graft composite scaffolds that resemble the extracellular matrix guide and promote osteogenic differentiation host precursor cells. Aerogel-based scaffold preparation methods have been increasingly improved overcome difficulties in balancing need for an open highly porous hierarchically organized microstructure with compression resistance withstand physiological loads, especially wet conditions. Moreover, these aerogel implanted vivo critical defects, order test their potential. This review addresses recently published studies on (organic/inorganic)-based scaffolds, having mind various cutting-edge technologies raw biomaterials used, as well improvements are challenge terms relevant properties. Finally, lack 3D vitro models emphasized, further developments minimize requirement using animal models.

Language: Английский

Citations

7

Biophysical stimuli for promoting bone repair and regeneration DOI Creative Commons

Yunyang Bai,

Xiaochan Li, Ke Wu

et al.

Medical Review, Journal Year: 2024, Volume and Issue: 5(1), P. 1 - 22

Published: July 5, 2024

Abstract Bone injuries and diseases are associated with profound changes in the biophysical properties of living bone tissues, particularly their electrical mechanical properties. The healthy attributed to complex network interactions between its various cell types (i.e., osteocytes, osteoclast, immune cells vascular endothelial cells) surrounding extracellular matrix (ECM) against backdrop a myriad biomechanical bioelectrical stimuli arising from daily physical activities. Understanding pathophysiological is critical developing new therapeutic strategies novel scaffold biomaterials for orthopedic surgery tissue engineering, as well provides basis application agents restore physiological microenvironment injured/diseased tissue, facilitate repair regeneration. These include mechanical, electrical, magnetic, thermal ultrasound stimuli, which will be critically examined this review. A significant advantage utilizing such healing that these may applied non-invasively minimal damage unlike conventional surgical procedures. Furthermore, effects can localized specifically at defect site, drugs or growth factors tend diffuse away after delivery, result detrimental side ectopic sites.

Language: Английский

Citations

2

Tailoring Physicochemical Properties of Photothermal Hydrogels Toward Intrinsically Regenerative Therapies DOI Open Access

Tong Xiao,

Hongliang Dai,

Yang Wu

et al.

Advanced Functional Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 10, 2024

Abstract Photothermal hydrogels (PTHs) are considered next‐generation biomaterials as they offer remotely defined biophysical information of the extracellular milieu. PTHs allow precise and non‐genetic control for regeneration native tissues, which is ultimate goal tissue engineering (TE). Molecular physical properties PTHs, such components, structural configurations, mechanical characteristics, collectively serve determinants understanding dynamic response clinical translation. have entered a period fruition due to development numerous manufacturing technologies polymeric matrices. Herein, this review comprehensively meticulously elucidates mechanisms regenerative therapeutics underlying design fabrication PTHs. Recent advances in photothermal principles various categories agents (PTAs) been extensively discussed. Vital components structures summarized enable efficacious therapeutic energy delivery. Emerging applications TE also demonstrated, expand strategies intrinsic injured tissues. Then deliberate chemical enhance prognosis while highlighting challenges associated with In review, we aim provide guidance prospects exploration innovation field TE.

Language: Английский

Citations

2

Multifunctional 3D matrixes based on flexible bioglass nanofibers for potential application in postoperative therapy of osteosarcoma DOI Creative Commons
Lihuan Wang,

Liting Yuan,

Yanbing Dong

et al.

Regenerative Biomaterials, Journal Year: 2024, Volume and Issue: 11

Published: Jan. 1, 2024

Postoperative treatment of osteosarcoma is one the major challenging clinical issues since both elimination residual tumors and acceleration bone regeneration should be considered. Photothermal therapy has been widely studied due to its advantages small side-effect, low-toxicity, high local selectivity noninversion, tissue engineering an inevitable trend in postoperative osteosarcoma. In this study, we combined photothermal together, developed a kind multifunctional nanofibrous 3D matrixes for The flexible bioactive glass nanofibers (BGNFs) prepared by sol-gel electrospinning calcination acted as basic blocks, genipin-crosslinked gelatin (GNP-Gel) cement bond BGNFs forming stable structure. porous scaffolds were obtained through ice crystal templating method freeze-drying technology. GNP-Gel/BGNF showed structure that highly biomimetics extracellular matrix. excellent compression recovery performance water these made them suitable minimally invasive surgery. addition, not only biocompatible vitro, but also benefit formation mineralized vivo. Furthermore, dark blue GNP-Gel agent, which endowed with efficient antitumor antibacterial without addition other toxic agents. Therefore, study provides ingenious avenue prepare

Language: Английский

Citations

1

Synthesis of novel liquid phase exfoliation of chitosan/Bi2Se3 hybrid nanocomposites for in-vitro wound healing DOI

Usha Swaminathan,

M. Karunakaran,

K. Kasirajan

et al.

International Journal of Biological Macromolecules, Journal Year: 2023, Volume and Issue: 255, P. 128257 - 128257

Published: Nov. 18, 2023

Language: Английский

Citations

2

Nanofillers: Design, Performance and Prospects DOI
Joshua Anani, Hassan Shokry,

Marwa Elkady

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0

Enhanced Bone Cancer Detection Using Deep Convolutional Learning Classification From Histopathological Images DOI
Richa Singh, Nidhi Srivastava, R.L. Kashyap

et al.

Advances in medical technologies and clinical practice book series, Journal Year: 2024, Volume and Issue: unknown, P. 219 - 236

Published: Nov. 29, 2024

The old procedures of the conventional histology process continue to limit pathologists. Bone structure is complex, which makes diagnosis difficult. To improve diagnostic capacities using CAD tools, digital histopathology must be used. development automated techniques needs investigation based on various facets bone structure. assess tumor density methods have been created still image classification remains a considerable address this issue, Convolutional algorithm used for identifying different types cancer images. differentiate between healthy & damaged sections, our approach combines important classifiers and applies Karhunen-Loeve extraction method certain picture attributes. results found are subsequently fed with help ML enhance accuracy i.e. 97.3% detection prediction. proposed method, algorithms histopathological analysis, provides promising increase effectiveness identification

Language: Английский

Citations

0