BMC Medicine2021
A nomogram for combination-therapy benefit in EGFR-mutant NSCLC.
Related service: Statistical analysis and predictive modeling
SELECTED COLLABORATION
From computational signal to translational evidence: the PLT012 anti-CD36 antibody study in Cancer Discovery 2025 and other co-authored work.
SELECTED COLLABORATION
Selected publications co-authored by our team members. For each one, we list only the computational and analytical contribution.
IF 29.5 (JCR 2025; subject to the journal's official figure)
PLT012, a humanized anti-CD36 antibody, to release anti-tumor immunity in liver cancer and liver metastasis
PLT012 is a humanized anti-CD36 antibody. The study set out to release suppressed anti-tumor immunity in liver cancer and liver metastasis. Our partner was a Swiss clinical-stage immunotherapy startup, and the paper is co-authored.
The author contributions credit L.-T. Chiu with data curation, formal analysis and methodology.
The authors' contribution was on the computational side: curating and analyzing signals from public data, and connecting them with preclinical and human HCC ex vivo results into one mechanistic line of evidence.
The study supported proof of concept for CD36-targeted immunotherapy. For our partner, the value went beyond a paper: it is mechanistic evidence a third party can check, where computational signals from public data line up with experimental validation.
A nomogram for combination-therapy benefit in EGFR-mutant NSCLC.
Related service: Statistical analysis and predictive modeling
Dynamic ctDNA neoantigen monitoring, with molecular response detected before imaging response.
Related service: Single-cell and multi-omics integration
Journal impact factors are taken from JCR 2025 and are subject to the journal's official figures.
Fundraising, licensing and publication all call for mechanistic evidence that holds up to questions.