TS-076401 — Many progressive diseases, including cardiac, neurological, and other chronic disorders, begin with subtle molecular and cellular changes long before conventional clinical signs become detectable. Current diagnostic approaches generally identify disease only after significant tissue remodeling or …

TS-075918 — Rare earth elements (REEs) are essential for advanced manufacturing, energy technologies, electronics, and defense applications, yet their separation remains one of the most challenging and costly steps in the supply chain. Conventional separation methods often require extensive processing, hazard…

TS-075489 — Organizations across healthcare, government, finance, market intelligence, and regulatory sectors routinely generate large collections of reports containing valuable tabular data. While these reports often follow consistent formats, extracting, comparing, and analyzing information across multiple …

TS-075450 — Safety-critical systems in industries such as energy, aerospace, industrial automation, and advanced manufacturing are becoming increasingly complex, integrating hardware, software, controls, sensors, and communication networks. Existing fault analysis methods are often domain-specific and require…

TS-074669 — Current cardiac MRI workflows rely heavily on breath-holds, ECG gating, and retrospective binning, which break down in patients with arrhythmias, irregular breathing, or limited ability to cooperate. Existing 3D approaches often average away beat-to-beat variability or suffer from motion artifacts…

TS-074599 — Discovering molecules that simultaneously satisfy multiple competing design criteria is a resource-intensive challenge across the pharmaceutical, energy, and materials industries. The enormity of chemical space makes exhaustive screening impractical, while existing AI-guided methods either restric…

TS-074364 — Senior executives struggle to understand and prioritize cybersecurity risk in business terms. Existing vulnerability scoring systems rely on opaque or arbitrary measures that fail to connect cybersecurity decisions to financial impact, staffing costs, or operational tradeoffs. As a result, organiz…

TS-073841 — Current federated learning (FL) systems face significant challenges in efficiently aggregating model updates over wireless networks, especially in environments with diverse data and varying channel conditions. There is a critical need for a solution that enhances bandwidth efficiency, personalizat…

TS-073818 — Autonomous vehicles and advanced driver-assistance systems require extensive testing across rare, hazardous, and edge-case scenarios to ensure safety and regulatory readiness. Existing approaches (pure simulation, hardware-in-the-loop, proving grounds, or public-road testing) each suffer from trad…

TS-073768 — Electrified and hybrid vehicle powertrains are increasingly complex, integrating mechanical, electrical, thermal, and emissions subsystems with both continuous and discrete decision variables. Existing energy management and co‑optimization approaches typically rely on simplified models, sequenti…