The LightLab Initiative has given us great insights into the challenges facing interventional cardiologists in the cath lab and the impact OCT can have on the decisions physicians make in treating their patients...The data has also highlighted how effective OCT can be at treating patients with complex cardiovascular disease with greater precision.
After planning a procedure with angiography alone, we exposed physicians to all the information provided by OCT on the same blockage and were able to demonstrate the significant impact that the information had on our decisions...OCT takes the guesswork out of angiography, offering doctors real-time high-quality granularity and precision when performing PCIs, and helping doctors make real-time decisions in the cath lab.
Previous research has seen a thinning of the retina in Alzheimer's patients, but by adding a light-scattering technique to the measurement, we've found that the retinal nerve fiber layer is also rougher and more disordered...Our hope is that we can use this insight to create an easy and cheap screening device that wouldn't only be available at your doctor's office, but at places like your local pharmacy as well
It is likely, given the documented synergy between ethanol and cannabinoids, that their combined ingestion will, as hypothesized, result in increased neurogenic and neurovascular deficits in exposed offspring.
Our studies will focus on the effects of SAC on the formation of nerve tissue and blood vessels, the complementary growth that supports fetal brain development.
With the increased potency of today's marijuana, as well as the street availability of potent synthetic cannabinoids, a re-evaluation of potential developmental harms is imperative.
Despite living in the 'digital age,' surgeons must routinely rely on their eyesight and sense of touch to determine if they have removed the entire tumor during breast-conserving surgery...Due to lack of adequate tools, 20 to 30 percent of patients must return for additional surgery, resulting in substantial physical and financial burdens and increased risk of complications.
It is our hope that in future, doctors might be able to use a device like ours to precisely identify diseases as they develop at the cellular level, in real-time, and in high resolution.
In ophthalmology we have a wealth of eye images—fundus photographs, optical coherence tomography (OCT), etc.—that are fundamental to the diagnosis, monitoring, and treatment of a number of eye diseases, so this field is ideally suited for deep learning applications.
