Organoid Intelligence: Bridging Artificial Intelligence for Biological Computing and Neurological Insights DOI Creative Commons
Sangeeta Ballav, Amit Ranjan,

Shubhayan Sur

et al.

Biochemistry, Journal Year: 2024, Volume and Issue: unknown

Published: March 8, 2024

Brain organoid implications have opened vast avenues in the realm of interdisciplinary research, particularly growing field intelligence (OI). A brain is a three-dimensional (3D), lab-grown structure that mimics certain aspects human organization and function. The integration technology with computational methods to enhance understanding behavior predict their responses various stimuli known as OI. ability organoids adapt memorize, key area exploration. OI encapsulates confluence breakthroughs stem cell technology, bioengineering, artificial (AI). This chapter delves deep into myriad potentials OI, encompassing an enhanced cognitive functions, achieving significant biological proficiencies. Such advancements stand offer unique complementarity conventional computing methods. sphere signify transformative stride towards more intricate grasp its multifaceted intricacies. intersection biology machine learning rapidly evolving reshaping our life health. convergence driving numerous areas, including genomics, drug discovery, personalized medicine, synthetic biology.

Language: Английский

3D printing for bone repair: Coupling infection therapy and defect regeneration DOI

Jiatian Chen,

Huaijuan Zhou, Yingwei Fan

et al.

Chemical Engineering Journal, Journal Year: 2023, Volume and Issue: 471, P. 144537 - 144537

Published: June 30, 2023

Language: Английский

Citations

40
Shape Memory Polymer Composites: 4D Printing, Smart Structures, and Applications DOI Creative Commons

Shiyu Yan,

Fenghua Zhang,

Lan Luo

et al.

Research, Journal Year: 2023, Volume and Issue: 6

Published: Jan. 1, 2023

Shape memory polymers (SMPs) and their composites (SMPCs) are smart materials that can be stably deformed then return to original shape under external stimulation, thus having a of shape. Three-dimensional (3D) printing is an advanced technology for fabricating products using digital software tool. Four-dimensional (4D) new generation additive manufacturing combines 3D technology. Currently, 4D-printed SMPs SMPCs gaining considerable research attention finding use in various fields, including biomedical science. This review introduces SMPs, SMPCs, 4D technologies, highlighting several special structures. It summarizes the recent progress with particular emphasis on applications. Additionally, it presents overview challenges development prospects provides preliminary discussion useful reference application SMPCs.

Language: Английский

Citations

40
Application of artificial intelligence in 3D printing physical organ models DOI Creative Commons
Liang Ma,

YU Shi-jie,

Xiaodong Xu

et al.

Materials Today Bio, Journal Year: 2023, Volume and Issue: 23, P. 100792 - 100792

Published: Sept. 15, 2023

Artificial intelligence (AI) and 3D printing will become technologies that profoundly impact humanity. of patient-specific organ models is expected to replace animal carcasses, providing scenarios simulate the surgical environment for preoperative training educating patients propose effective solutions. Due complexity manufacturing, it still used on a small scale in clinical practice, there are problems such as low resolution obtaining MRI/CT images, long consumption time, insufficient realism. AI has been effectively powerful problem-solving tool. This paper introduces printed models, focusing idea application manufacturing models. Finally, potential 3D-printed discussed. Based synergy between benefit model facilitate medical field, use making reality.

Language: Английский

Citations

40
Three-Dimensional Bioprinting of Organoids: Past, Present, and Prospective DOI

Mariana Cabral,

Ke Cheng,

Donghui Zhu

et al.

Tissue Engineering Part A, Journal Year: 2024, Volume and Issue: 30(11-12), P. 314 - 321

Published: Jan. 11, 2024

Organoids are three-dimensional (3D)

Language: Английский

Citations

11
The role of graphene quantum dots in cutting‐edge medical therapies DOI

Kosar Arab,

Aliakbar Jafari,

Farangis Shahi

et al.

Polymers for Advanced Technologies, Journal Year: 2024, Volume and Issue: 35(9)

Published: Sept. 1, 2024

Abstract Graphene quantum dots (GQDs), owing to their unique optical, electrical, and chemical properties, have emerged as promising nanomaterials for various biomedical applications. This review provides a comprehensive overview of the latest advancements in utilization GQDs tissue engineering, wound healing, drug delivery systems, other therapies. The inherent properties GQDs, including high biocompatibility, tunable photoluminescence, significant surface area, make them ideal candidates enhancing medical treatments diagnostics. In improve mechanical biological performance scaffolds, promoting cell proliferation differentiation. For enhance antimicrobial activity facilitate faster regeneration. Their potential DDS is highlighted by ability deliver therapeutic agents efficiently, ensuring targeted controlled release. Additionally, play crucial role therapies, particularly cancer treatment, efficacy reducing side effects. While offer diagnostics, challenges such understanding long‐term cytotoxicity at higher concentrations, need standardized synthesis methods remain critical areas further research. also discusses future directions opportunities emphasizing transformative advancing modern healthcare solutions. insights presented here contribute expanding field GQD research, highlighting significantly patient outcomes drive innovations.

Language: Английский

Citations

11
Hydrogel integrating CBEO-CINcocktail (Cinnamomum pauciflorum Nees bark oil enriched with cinnamaldehyde) loaded nanosponges exhibited potent antibacterial activity against carbapenem resistant bacterial pathogens - in vitro and in vivo evaluation DOI Creative Commons
Susweta Das Mitra,

S. Shailaja,

R. Aruna Devi

et al.

Industrial Crops and Products, Journal Year: 2025, Volume and Issue: 225, P. 120503 - 120503

Published: Jan. 21, 2025

Language: Английский

Citations

1
Synthesis, Characterization, and Analysis of Bioplasticizers Derived from Thespesia populnea Leaf: Towards Sustainable Biomaterials DOI

P. Senthamaraikannan,

Felix Sahayaraj Arokiasamy,

M. Tamil Selvan

et al.

Journal of Inorganic and Organometallic Polymers and Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 27, 2025

Language: Английский

Citations

1
Medical intelligence for anxiety research: Insights from genetics, hormones, implant science, and smart devices with future strategies DOI
Faijan Akhtar, Md Belal Bin Heyat, Arshiya Sultana

et al.

Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, Journal Year: 2024, Volume and Issue: 14(6)

Published: Aug. 4, 2024

Abstract This comprehensive review article embarks on an extensive exploration of anxiety research, navigating a multifaceted landscape that incorporates various disciplines, such as molecular genetics, hormonal influences, implant science, regenerative engineering, and real‐time cardiac signal analysis, all while harnessing the transformative potential medical intelligence [medical + artificial (AI)]. By addressing fundamental research questions, this study investigated foundations underlying disorders, shedding light intricate interplay genetic factors contributing to etiology progression anxiety. Furthermore, delves into emerging implications biomaterials, defibrillators, state‐of‐the‐art devices for elucidating their roles in diagnosis, treatment, patient management. A pivotal contribution is development AI‐driven model analysis. innovative approach offers promising avenue enhancing precision timeliness diagnosis monitoring. Leveraging machine learning AI techniques enables accurate classification persons with based data, thereby ushering new era personalized data‐driven mental health care. Identifying themes knowledge gaps lays foundation future directions roadmap scholars practitioners navigate field. In conclusion, serves vital resource, consolidating diverse perspectives fostering deeper understanding disorders from biological, technological standpoints, ultimately advancing clinical practice. categorized under: Application Areas > Health Care Science Technology Technologies Classification

Language: Английский

Citations

7
Scaffold-mediated liver regeneration: A comprehensive exploration of current advances DOI Creative Commons

Supriya Bhatt S,

J. Kumar,

Shurthi Laya

et al.

Journal of Tissue Engineering, Journal Year: 2024, Volume and Issue: 15

Published: Jan. 1, 2024

The liver coordinates over 500 biochemical processes crucial for maintaining homeostasis, detoxification, and metabolism. Its specialized cells, arranged in hexagonal lobules, enable it to function as a highly efficient metabolic engine. However, diseases such cirrhosis, fatty disease, hepatitis present significant global health challenges. Traditional drug development is expensive often ineffective at predicting human responses, driving interest advanced vitro models utilizing 3D bioprinting microfluidics. These strive mimic the liver’s complex microenvironment, improving screening disease research. Despite its resilience, vulnerable chronic illnesses, injuries, cancers, leading millions of deaths annually. Organ shortages hinder transplantation, highlighting need alternative treatments. Tissue engineering, employing polymer-based scaffolds bioprinting, shows promise. This review examines these innovative strategies, including organoids tissue-on-chip technologies, address challenges diseases.

Language: Английский

Citations

5
Investigating the Influence of Cosolvents on the Solubility of Febuxostat in Supercritical CO2: Experimental Analysis and Artificial Intelligence Study DOI

Oday Sajjad Alsawad,

Ahmad AlHamad, Carlos Rodriguez‐Benites

et al.

Journal of Chemical & Engineering Data, Journal Year: 2024, Volume and Issue: 69(7), P. 2569 - 2584

Published: July 1, 2024

Assessing the solubility of pharmaceutical compounds in supercritical carbon dioxide (scCO2) is a fundamental prerequisite for advancing application technologies sector. The Febuxostat, drug with limited often prescribed gout patients to lower blood uric acid levels, has previously been studied within pressure and temperature ranges 12–27 MPa 308–338 K, exhibiting mole fraction range 0.05 × 10–4–7.42 10–4. This study explores influence various cosolvents, namely, ethanol, acetone, dimethyl sulfoxide (DMSO), on Febuxostat under comparable conditions. Results indicate 0.180 10–4–26.658 10–4 0.120 10–4–14.810 0.108 10–4–14.366 DMSO, respectively. Ethanol exhibits most substantial impact, enhancing by approximately 2.4–3.8 times, while acetone DMSO contribute an increase 2–2.5 times. Furthermore, employs empirical models artificial neural network (ANN) approach theoretically investigate these cosolvents. Among models, Jouyban model demonstrates accurate correlation data all Moreover, ANN exceptional accuracy forecasting mean AARD % 3.207% Radj 0.993 across experimental measurements scCO2 + solvents.

Language: Английский

Citations

4