RWD Science & Machine Learning at its best

[Sorena Nadaf]

Ci4CC'ers:  A wonderful paper worth your coffee break:  

Applied Machine Learning on protein data from more than 48,000 UK Biobank participants using matched cancer registry records to identify those who later developed lung cancer

Cell:  Researchers have identified a 14-protein biomarker signature capable of predicting lung cancer an average of 5.6 years before clinical diagnosis, including among individuals with no history of smoking. Equally compelling is the discovery of an anti-inflammatory therapy that may help prevent disease progression. Perhaps most striking, these proteins do not appear to originate from the cancer cells themselves, challenging longstanding assumptions about tumor biology and opening new avenues for early detection and prevention.

Link to original paper:  https://www.cell.com/cell/fulltext/S0092-8674(26)00522-2?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS0092867426005222%3Fshowall%3Dtrue

----------

Sorena Nadaf-Rahrov, MS, MMI, PhDc

President & CEO - Cancer Center Informatics Society (Ci4CC)

-Chief Health AI Strategy Officer

-Executive Director Precision Oncology  Initiatives

415-519-7064

Administrative Support

Mary Jo Kronberger

mar...@ci4cc.org