Over 100,000 people await organ transplants, yet preservation limits organs to hours. This research uses radio-frequency sensors to rapidly pre-screen cryoprotective chemicals through dielectric fingerprints, reducing testing from days to minutes. Faster identification of effective preservation agents could extend organ viability and save thousands of lives.

This research presents a new fractional mathematical model for cardiovascular dynamics that maintains the accuracy of traditional methods while greatly reducing complexity. Using only five interpretable parameters instead of twenty, the model analyzes blood pressure in the frequency domain, providing clearer insight into heart function and offering potential improvements for diagnosis and treatment.

This research develops a virtual human model and predictive algorithm to detect blast-induced traumatic brain injuries in real time. Using simulations and body-mounted sensors, the system estimates injury risk on the battlefield, helping medics and commanders make rapid decisions to protect soldiers and improve mission safety.

This research develops an electrochemical sensor to continuously monitor stress by detecting cortisol, a key stress hormone. Using DNA aptamers and nanostructured electrodes, the sensor overcomes traditional detection limits, improving signal strength and durability. The technology offers a noninvasive method for long-term stress tracking to support prevention and treatment.

This research improves the safety of stem cell–derived heart cell therapy for heart failure by engineering a drug-controlled genetic safety switch. The approach prevents dangerous post-transplant arrhythmias while allowing transplanted cells to mature and synchronize with the heart, advancing regenerative alternatives to full heart transplantation.

This research develops DNA-origami-enhanced nanopores to detect individual biomolecules from a single drop of blood. By slowing molecules and reading their electrical signatures with machine learning, the technology enables rapid, ultra-early disease diagnosis without traditional laboratory testing.

Healing depends on a balance between extracellular matrix stiffness and cellular recycling through autophagy. This research shows that disrupted balance leads to chronic wounds or fibrotic scarring. By engineering materials with tunable stiffness, the work reveals how cells “sense” their environment, opening new paths to guide healthier wound healing.

Neurodegenerative diseases like Alzheimer’s and Parkinson’s are closely linked to abnormal dopamine levels but are diagnosed too late. This research develops a tiny electrochemical brain sensor that selectively detects dopamine in real time. Such technology could enable earlier diagnosis, better monitoring, and improved treatment of neurological disorders.

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 investigates using light-sensitive proteins to control cardiac electrical activity and treat arrhythmias. By precisely guiding heart rhythms with light rather than drugs or shocks, the study identifies proteins capable of suppressing dangerous premature signals, offering a reversible, non-invasive alternative to current heart disease treatments.