基本信息
浏览量:7
职业迁徙
个人简介
Bayden's research areas of interest are: A chemical change must precede or accompany any morphological or symptomatic manifestation associated with disease progression, environmental perturbation or therapeutic treatment.
Vibrational spectroscopy is sensitive to detecting chemical changes and in combination with artificial intelligent systems represents a fundamental new approach to analysing single molecules, subcellular structures, cells, tissues, entire organisms and ultimately ecological systems.
My research is aimed at transforming state-of-the-art infrared-based technology to a new point-of-care diagnostic capability for real world medical devices that can instantaneously diagnose several major debilitating diseases, at a fraction of current costs and with unprecedented levels of sensitivity and speed. The objective is to empower both minimally trained community workers from remote villages in developing counties to first world general medical practitioners, with the ability to immediately diagnose and treat a range of infectious diseases. Delivery of this new disruptive technology will transform diagnosis enabling improved treatment and better patient management and has applications in blood storage, biosecurity, pharmaceutical monitoring and defense. My other areas of interest include FT-IR microspectroscopy and FT-IR imaging of cells and tissues and developing applications for cancer diagnosis, histocompatibility testing, oocyte development, stem cell research and algae research. I also have a strong interest in applying multivariate statistics and neural network architectures to the analysis of FT-IR and Raman spectra of bio-samples with the aim of developing new diagnostic algorithms.
Vibrational spectroscopy is sensitive to detecting chemical changes and in combination with artificial intelligent systems represents a fundamental new approach to analysing single molecules, subcellular structures, cells, tissues, entire organisms and ultimately ecological systems.
My research is aimed at transforming state-of-the-art infrared-based technology to a new point-of-care diagnostic capability for real world medical devices that can instantaneously diagnose several major debilitating diseases, at a fraction of current costs and with unprecedented levels of sensitivity and speed. The objective is to empower both minimally trained community workers from remote villages in developing counties to first world general medical practitioners, with the ability to immediately diagnose and treat a range of infectious diseases. Delivery of this new disruptive technology will transform diagnosis enabling improved treatment and better patient management and has applications in blood storage, biosecurity, pharmaceutical monitoring and defense. My other areas of interest include FT-IR microspectroscopy and FT-IR imaging of cells and tissues and developing applications for cancer diagnosis, histocompatibility testing, oocyte development, stem cell research and algae research. I also have a strong interest in applying multivariate statistics and neural network architectures to the analysis of FT-IR and Raman spectra of bio-samples with the aim of developing new diagnostic algorithms.
研究兴趣
论文共 270 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
crossref(2024)
Arthur Yim, Matthew Alberto,Varun Sharma,Alexander Green, Aaron Mclean,Justin du Plessis, Lih-Ming Wong,Bayden Wood, Joseph Ischia,Jaishankar Raman,Damien Bolton
BJU international (2024)
Ashutosh Rathi, Z. Chowdhry, Anand Patel,Siming Zuo,Thulya Chakkumpulakkal Puthan Veettil,John A. Adegoke,Hadi Heidari,Bayden R. Wood,Vidya Praveen Bhallamudi,Weng Kung Peng
NPG ASIA MATERIALSno. 1 (2023): 1-27
The Analystno. 7 (2023): 1595-1602
Applied spectroscopyno. 9 (2023): 37028231180233-1008
Bone & joint openno. 4 (2023): 250-261
Arthur Yim, Matthew Alberto,Varun Sharma,Bayden Wood, Jaishankar Raman,Lih-Ming Wong,Joseph Ischia,Damien Bolton
Société Internationale d’Urologie Journalno. 4 (2023): 321-334
引用0浏览0引用
0
0
Applied spectroscopyno. 5 (2023): 37028231170851-520
引用0浏览0WOS引用
0
0
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn