Skip to main content

research

Machine Learning Uncovers Hidden Signature of Severe Asthma, Pointing to New Drug Targets

August 4, 2026

Researchers at the University of Pittsburgh have identified novel molecular pathways that distinguish severe asthma from milder forms of the disease. The findings, published in JCI Insight, open the door to new treatments for the 5–10% of asthma patients who have severe disease that does not respond to current treatments.

From Single Slice to the Full Pie: New Network Framework Resolves Debate in Immune Cell Development

July 22, 2026 | By Asher Jones

A novel network-based framework that captures complex webs of gene regulation and protein interactions has resolved a longstanding debate about maturation of T follicular helper cells (Tfh)—a subset of T helper cells that guide the production of high-quality, long-lasting antibodies after infection or vaccination.

BLIMP1 Controls Identity of Immune Cells That Promote Allergic Asthma

May 5, 2026 | By Asher Jones

New research published in Nature Immunology shows that a transcription factor called BLIMP1 is essential for maintaining the identity of type 2 innate lymphoid cells (ILC2s) in a mouse model of allergic asthma, shedding light on how these cells promote allergy in asthmatic patients.