Melax Tech Receives NIAID Award to Develop Real-Time Surveillance of Vaccine Misinformation from Social Media Platforms
Melax Tech, a world leader in biomedical Natural Language Processing (NLP) technology, announced the securing of a Phase One SBIR award focused on developing real-time surveillance of vaccine misinformation from social media platforms using ontology and NLP.
The Phase One SBIR grant, valued at $300,000, has been awarded by the National Institute of Allergy and Infectious Diseases (NIAID) to develop innovative and cutting-edge computational algorithms, including semantic technologies and NLP algorithms to model, extract and synthesize vaccine misinformation from multiple popular social media sources.
Recommended AI News: Cyberattacks Are Now the Top Cause of Data Loss, Databarracks Research Reveals
“This is a very real topic affecting culture at present and shows that we as a collective business and group of experts continue to be on the cutting-edge of science in the NLP and AI domain,” said Andre Pontin, CEO at Melax Tech.
Dr. Jingcheng Du, Director of NLP research at Melax Tech, noted, “A major driver for vaccine hesitancy is widespread and uncontrolled vaccine misinformation. As one of its first kinds, we will build deep learning-based NLP algorithms to extract and normalize vaccine misinformation from social media. Furthermore, to engage a broad community, we will develop an interactive visualization to synthesize the vaccine misinformation into a comprehensible format. We are very excited and enthusiastic about this project and its potential to improve public health.”
Recommended AI News: Bain & Company, the Inventor of NPS, Launches NPSx, a new Digital Venture
[To share your insights with us, please write to email@example.com]