RAiD 10.26259/904420a2
Reliability of AI scoring for personalised melanoma immunotherapy

Dates

Start Date
31-Jan-2023
End Date
28-Feb-2025

Titles

Title
Reliability of AI scoring for personalised melanoma immunotherapy
Title Type
Primary
Title Type:
Primary
 Preferred full description or abstract.
Start Date
31-Jan-2023
End Date
---
Language
English

Descriptions

Description

Despite advances in cancer treatments and increased survival of advanced melanoma patients, most patients with advanced melanoma will still die when treated with routine immunotherapies due to immune evasive mechanisms[1]. The personalised immunotherapy program will, instead, ensure each patient’s cancer is screened for genetic and immune profiles to identify patients unlikely to benefit from standard therapies. These patients will then be assigned a novel clinical trial agent most likely to cure them based on the presence of the drug targets in the patient's tumour. It is anticipated that selecting treatments for patients, based on the presence of specific drug targets in the patient’s cancer, will improve cancer outcomes and increase the survival of people with cancer.

This project aims to optimise the multiplex immunohistochemistry staining panel that can be used to rapidly identify the profile of immune checkpoint targets in melanoma biopsies. Further, the project aims to elucidate the accuracy of the artificial intelligence (AI) program to correctly identity fluorescent threshold for immune marker positivity.

This project will accurately and cost effectively fast track patient assessment for immunotherapy treatments; thereby rapidly matching patients with effective therapies to increase the overall cure rate of advanced cancers.
Description Type

Primary
Description Type:

Primary

 Preferred full description or abstract
Language
English

Contributors

Contributor
https://orcid.org/0000-0002-6270-1203
Leader
Yes
Contact
Yes
Positions
Position
Co-investigator or Collaborator
Position:
Co-investigator or Collaborator
 A Co-Investigator is a senior or key investigator involved in a research project who does not have the overall responsibility and authority of the Principal Investigator
Start Date
31-Jan-2023
End Date
---
Roles
Conceptualization
Contributor
https://orcid.org/0009-0006-7597-4813
Leader
No
Contact
No
Positions
Position
Co-investigator or Collaborator
Position:
Co-investigator or Collaborator
 A Co-Investigator is a senior or key investigator involved in a research project who does not have the overall responsibility and authority of the Principal Investigator
Start Date
31-Jan-2023
End Date
---
Roles
Supervision

Organisations

Organisation ID
https://ror.org/02stey378
Roles
Role
Lead Research Organisation
Role:
Lead Research Organisation
 The research organistion administratively responsible for the project; administering organisation
Start Date
2023-01-31
End Date
---

RelatedObjects

No Entries

Alternate Identifier

No Entries

Alternate URLs

No Entries

Related RAiDs

No Entries

Access

Type
Open Access
Type:
Open Access
 Open access refers to a resource that is immediately and permanently online, and free for all on the Web, without financial and technical barriers.The resource is either stored in the repository or referenced to an external journal or trustworthy archive.
Language
eng
Text
Access statement example text...
Embargo Expiry
2025-08-08

Subjects

Subject
undefined (undefined)
Keywords
Text
Subject keyword example text...
Language
eng

Raw Data

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