How artificial intelligence shapes the future of biomaterials?

纳米技术 工程类 材料科学
作者
Masoud Mozafari
出处
期刊: [Elsevier BV]
卷期号:7: 100381-100381 被引量:6
标识
DOI:10.1016/j.nxmate.2024.100381
摘要

Biomaterials are playing a transformative role in modern medicine, revolutionizing both diagnosis and treatment options. The advent of advanced artificial intelligence (AI) tools is poised to significantly impact the field of biomaterials. AI is expected to play a critical role not only in the design and development of biomaterials but also in establishing new standards and refining definitions within this domain. AI can provide invaluable assistance by offering sophisticated tools to organize and analyze vast amounts of data. By leveraging AI’s capabilities, researchers can efficiently sift through extensive datasets, interpret results, and verify the efficacy of new biomaterials across a wide range of applications. This data-driven approach facilitates a deeper understanding of biomaterial interactions and performance, ensuring that new innovations meet rigorous standards. In this era, refining definitions and establishing a universal understanding are crucial for evaluating biomaterials more efficiently. AI can help achieve this by identifying patterns and correlations that might be overlooked by traditional methods, leading to more precise and reliable criteria for biomaterial assessment. Looking ahead, the integration of comprehensive data and advanced AI tools is expected to significantly enhance the effectiveness and quality of biomaterials. This synergy will ensure that biomaterials can meet the diverse and evolving needs of modern medicine, driving forward innovations that improve patient outcomes and healthcare practices.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Jasper应助Yolo采纳,获得10
刚刚
刚刚
刚刚
lu发布了新的文献求助10
1秒前
粗犷的惋清完成签到,获得积分10
1秒前
蛋又白应助陈雨凡采纳,获得30
1秒前
2秒前
2秒前
ice7完成签到,获得积分10
2秒前
2秒前
nnr发布了新的文献求助10
2秒前
DW应助夜月采纳,获得10
2秒前
深情安青应助Guaweii采纳,获得10
3秒前
3秒前
3秒前
18岁的王教授完成签到,获得积分10
3秒前
路琪发布了新的文献求助10
4秒前
充电宝应助tgg采纳,获得10
4秒前
可乐发布了新的文献求助10
4秒前
4秒前
fan完成签到,获得积分10
4秒前
舒心的菀完成签到,获得积分10
4秒前
cs完成签到 ,获得积分20
4秒前
Soso完成签到,获得积分10
4秒前
xyy完成签到,获得积分10
5秒前
5秒前
5秒前
5秒前
tyr发布了新的文献求助10
6秒前
6秒前
丫头发布了新的文献求助10
6秒前
YYY完成签到 ,获得积分10
7秒前
7秒前
全糖发布了新的文献求助10
7秒前
Oliver发布了新的文献求助10
7秒前
科目三应助楷叼小潘东采纳,获得10
7秒前
熊二发布了新的文献求助10
7秒前
要减肥的之云完成签到 ,获得积分10
7秒前
7秒前
毗昙应助我是乐乐乐乐采纳,获得10
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Industrial Hydraulics Manual (7th edition) 800
Physiologic races of the downy mildew fungus on soybeans in North Carolina 800
Rosenblum, Global Change Biology 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7775583
求助须知:如何正确求助?哪些是违规求助? 9317299
关于积分的说明 20356310
捐赠科研通 7361915
什么是DOI,文献DOI怎么找? 3318048
关于科研通互助平台的介绍 2466236
邀请新用户注册赠送积分活动 2333375