New AI Technique Significantly Boosts Medicare Fraud Detection

In Medicare insurance fraud detection, handling imbalanced big data and high dimensionality remains a significant challenge. Systematically testing two imbalanced big Medicare datasets, researchers demonstrate that intelligent data reduction techniques improve the classification of high imbalanced big Medicare data.

Antiviral Color Nanocoating Technology

The Korea Institute of Science and Technology (KIST) has announced that a collaborative research team led by Dr. So-Hye Cho from the Materials Architecturing Research Center and Dr. Seung Eun Lee of the Research Animal Resources Center has developed a nanocoating technology that not only maximizes the antiviral activity of the surface, but also enables the realization of various colors.

Study provides new explanation for why placenta may not properly separate at birth, putting mother and newborn at risk

A new study led by researchers at UCLA may change the way clinicians and scientists understand, diagnose and treat placenta accreta spectrum disorder, a serious condition in which the placenta fails to separate from the uterus at birth, jeopardizing the life and health of both mother and baby.

Heart of the Matter: Media Tipsheet From Smidt Heart Institute at Cedars-Sinai

Cardiologists and cardiac and vascular surgeons from the Smidt Heart Institute at Cedars-Sinai are available for interviews throughout February to discuss heart-related topics, including the latest advances in research and patient care.

Harmonic Discovery Announces Licensing Agreement with BioVentures and UCSF for FLT3 Mutated AML Development Program

Harmonic Discovery (the “Company”), a precision pharmacology company focusing on developing next generation kinase inhibitors, today announced an exclusive licensing agreement of a novel small-molecule drug candidate for the treatment of FLT3 mutated acute myeloid leukemia (AML) from BioVentures (University of Arkansas for Medical Sciences) and UC San Francisco (UCSF).

Drexel researchers propose AI-guided system for robotic inspection of buildings, roads and bridges

Our built environment is aging and failing faster than we can maintain it. Recent building collapses and structural failures of roads and bridges are indicators of a problem that’s likely to get worse, according to experts, because it’s just not possible to inspect every crack, creak and crumble to parse dangerous signs of failure from normal wear and tear. In hopes of playing catch-up, researchers in Drexel University’s College of Engineering are trying to give robotic assistants the tools to help inspectors with the job.