This research uses immune cell “molecular fingerprints” to rapidly detect cancer from a single drop of blood. By combining nanosensors and machine learning, subtle changes in B cells can be identified within minutes. The approach offers fast, accurate, and low-cost cancer detection with the potential to significantly improve early diagnosis and survival.

This research targets the earliest stage of allergic and asthmatic immune reactions by blocking key cytokine “messages” sent from T cells to B cells. Using drug-discovery techniques, the project identifies compounds that prevent immune overreaction before symptoms begin, aiming to develop a new class of long-lasting preventative allergy and asthma treatments.