Many mitochondrial diseases have been difficult to study and treat due to the inherent challenges in accessing mitochondrial DNA (mtDNA). Now, researchers from Japan have optimized mitochondrial-targeted compounds that can selectively modify the ratio of normal versus mutant mtDNA in patient-derived stem cells. This technology enables the creation of research models with varying mutation loads and demonstrates potential as a therapeutic strategy for reducing mutant mtDNA in patients, offering hope for mitochondrial disease treatment.

Imagine trying to tell identical twins apart just by looking at their fingerprints. That’s how challenging it can be for scientists to distinguish the tiny powdery pollen grains produced by fir, spruce and pine trees. But a new artificial intelligence system developed by researchers at The University of Texas at Arlington, the University of Nevada and Virginia Tech is making that task a lot easier—and potentially bringing big relief to allergy sufferers.