Automated Raman spectral Cytology for detection of human papillomavirus (HPV) infection and cervical pre-cancer
Sector: Education • Location: Ireland
Source: EU Funding & Tenders Portal
The Experienced Researcher (ER), Dr Shiyamala Duraipandian, who is at the centre of this application, will, through this MSCA Fellowship, enhance her research and innovation potential through advanced training, international and inter-sectoral mobility. The ER will develop methods for detecting high risk HPV infection and dysplasia using Raman spectroscopy in cervical cells collected during routin
Project Information FAQ
Project Information
Want to explore the full details? View the full report
Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ended |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The Experienced Researcher (ER), Dr Shiyamala Duraipandian, who is at the centre of this application, will, through this MSCA Fellowship, enhance her research and innovation potential through advanced training, international and inter-sectoral mobility. The ER will develop methods for detecting high risk HPV infection and dysplasia using Raman spectroscopy in cervical cells collected during routine Pap smear screening. Her skills in instrument and software development and patient testing will complement the expertise of the host laboratory. During the project measurable knowledge transfer towards the ER will be facilitated through DIT’s Postdoctoral Training Programme, RESC induction and specialist skills transfer, strengthened academic and industry network contacts, via existing networks and industry events, and preparation of a dedicated career development plan. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
