Single-gene transcripts for subclinical tuberculosis: an individual participant data meta-analysis
Single-gene transcripts are equivalent to multi-gene signatures for detection of subclinical
tuberculosis, with consistent performance across settings. Single-gene transcripts
show potential clinical ...
Check out our new paper in @lancetmicrobe.bsky.social
In this IPD-MA we show that single-gene transcripts are equivalent to multi-gene signatures to Dx subclinical TB
They perform consistently across settings + show potential clinical utility to stratify therapy
#IDsky #TBsky
bit.ly/47jU7GN
14.10.2025 11:30 β π 2 π 5 π¬ 1 π 0
This was a fun analysis. We started out thinking blood RNA biomarkers of viral infection were likely to be correlated ++ as different dimensions of a common immune response (tinyurl.com/5ebfhsyj)
BUT the sampling resolution of human challenge helped us unravel the time course... IFI27 is unique β¬οΈ
11.12.2024 15:47 β π 4 π 0 π¬ 0 π 0
2. Proprietary models eg Epic deterioration index. If the company are not willing/able to make the model reproducible, do we still want to see validation data?
11.12.2024 14:44 β π 4 π 0 π¬ 1 π 0
I agree. 2 problematic areas on this:
1. Machine learning models where coefficients cannot readily be derived. Should we insist that the model object is shared in these cases? Does this create issues if the object includes the training data (can be tricky to fully remove)?
11.12.2024 14:43 β π 4 π 0 π¬ 1 π 0
Infectious disease epidemiologist | TB mathematical modeller | Research Fellow @LSTHM | Associate Researcher @IMTAvH
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Infectious Diseases doctor (at UCLH) and academic (at UCL). Research focuses on immune responses to TB and leprosy, but I'm also involved in too many other projects I probably shouldn't be...
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