Like many other cells and organs within the body, cardiac cells possess a type of asymmetry that may play an important role in healthy heart formation and could serve as the basis for interventions to prevent congenital heart defects.
A number of vulnerabilities, known collectively as deep learning adversaries, hold artificial intelligence (AI) back from its full potential in applications like improving medical imaging quality and computer-aided diagnosis.
Heart disease and cancer are the leading causes of death in the United States, and it’s increasingly understood that they share common risk factors, including tobacco use, diet, blood pressure, and obesity. Thus, a diagnostic tool that could screen for cardiovascular disease while a patient is already being screened for cancer has the potential to expedite a diagnosis, accelerate treatment, and improve patient outcomes.
Fouling is a natural phenomenon that describes the tendency of proteins in water to adhere to nearby surfaces. It’s what causes unwanted deposits of protein to form during some food production or on biomedical implants, causing them to fail. Researchers at Rensselaer Polytechnic Institute are harnessing this process, which is typically considered a persistent challenge, to develop a versatile and accessible approach for modifying solid surfaces.
A novel form of polymerized estrogen developed at Rensselaer Polytechnic Institute can provide neuroprotection when implanted at the site of a spinal cord injury — preventing further damage. This promising result, found in a preclinical model, was recently published in ACS Chemical Neuroscience, and it lays the groundwork for further advancement of this new biomaterial.
The era of widespread remote learning brought about by the COVID-19 pandemic requires online testing methods that effectively prevent cheating, especially in the form of collusion among students. With concerns about cheating on the rise across the country, a solution that also maintains student privacy is particularly valuable.