TS-062628 — More than a billion people worldwide suffer from some neurological disorders, such as Alzheimer's, Parkinson's, multiple sclerosis, epilepsy, stroke, autism, addiction, and many others. These conditions result in more than 7 million deaths, with associated costs exceeding $1.5 trillion annua…

TS-062576 — The Need Like a molecular “fingerprint”, NMR spectra provide valuable insights into the properties and structures of molecular compounds. However, analyzing and interpreting NMR spectra is inherently challenging as comprehensive and explicit identification of a compound is tedious and t…

TS-062574 — The Need Like a molecular “fingerprint”, NMR spectra provide valuable insights into the properties and structures of molecular compounds. However, analyzing and interpreting NMR spectra is inherently challenging as comprehensive and explicit identification of a compound is tedious and t…

TS-062335 — The Need: In the field of ophthalmology and vision care, there is a critical need for accurate and comprehensive measurements of visual function over the entire visual field. Conditions such as glaucoma, age-related macular degeneration (AMD), diabetes, stroke, pituitary disease, brain tumors, and n…

TS-062329 — The Need: Medical imaging plays a crucial role in diagnosing various diseases, and Magnetic Resonance Imaging (MRI) has emerged as one of the most important imaging modalities due to its safety and effectiveness. Unlike other imaging methods that use ionizing radiation, MRI poses far fewer risks to …

TS-062309 — The Need: Signal intensity inhomogeneity in Magnetic Resonance (MR) imaging presents a significant challenge, leading to degradation in image quality, obstructed diagnoses, reduced accuracy in quantitative analyses, and increased inter-scanner variability. The lack of effective inhomogeneity correct…

TS-042266 — A monaural machine-learning algorithm for classifying time-frequency units in an unknown signal, which results in marked speech-intelligibly improvements in noisy signals.

TS-039164 — A new tool that can quantify the sensory maps of the human brain. The tool can be used to quantify plasticity and pathology in the sensory areas of the human brain that are associated with normal and abnormal development, aging, and diseases in sensory systems. The first application of the tool, on retinotopic maps of the visual cortex, has generated excellent results.

TS-014871 — Encoding strategy for improvement of speech understanding in a noisy environment for audiotory prosthetic devices.