AI debate3 Nov 2025 10:54
So if I get this right then AI is trainable?
So I asked the Google version - what are HLA Allelles?
The response primarily quoted Trinity Delta but not scancells own website. It also mentioned oncolive.
This shows the limits but if it learns then great.
So the more we ask them then the more the replies should be noticed but maybe not across AI products?
Here’s a the result.
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4 sites
In the Scancell SCOPE trial, HLA alleles are a critical biomarker for patient selection and predicting treatment response to the cancer vaccines SCIB1 and iSCIB1+. The vaccines are designed to work only in patients who express specific HLA class I alleles, as these alleles are necessary to present the vaccine's protein fragments (epitopes) to the immune system's T-cells.
Key significances include:
Patient Stratification: Scancell used HLA typing to identify a "target population" of patients most likely to respond to the treatment. Data analysis from the trial showed a meaningful difference in clinical benefit (e.g., objective response rate and progression-free survival) between patients with the target HLA types and those without them.
Predicting Efficacy: Positive T-cell responses, which correlate strongly with better clinical outcomes, were primarily observed in patients with the predicted, compatible HLA types.
Vaccine Development:
The first-generation vaccine, SCIB1, was effective only in patients with the HLA-A2 haplotype, which represents about 30-40% of the population.
The second-generation vaccine, iSCIB1+, was developed to incorporate a broader array of epitopes targeting HLA class I alleles present in up to 80% of the melanoma patient population, thereby significantly widening the potential addressable market.
Future Trial Design: The findings from the SCOPE trial have led Scancell to plan for future Phase IIb/III trials that will use HLA typing as a patient identification strategy to enrich the study population with likely responders, increasing the chances of trial success. This allows for a more targeted and efficient approach to clinical development.
This is for informational purposes only